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Data Science Manager Machine Learning Causal Inference | Discord |
What You'll Be Doing
Develop and own the roadmap & prioritization for predictive modeling and causal inference to understand user dynamics on the platform
Mentor and guide the team to use state-of-the-art machine learning and causal inference techniques to provide a deeper understanding of the product, users, and communities.
Influence our experimentation platform decisions, best practices, and experimentation accuracy
Inform the direction of our ML & CI tech stack through collaboration with our Data Platform team
As a member of our Data leadership team, inform architectural decisions, establish best practices, develop lean scalable processes, and contribute to the overall direction of the Data organization at Discord!
You Will Thrive In This Role If
3+ year of people management experience in ML & CI domains; track record of leading successful teams in a cross-functional & collaborative environment
PhD in quantitative field and 6+ years of experience in using ML and/or CI techniques to make an impact on vague and challenging business problems.
4+ years of industry experience in developing, productionizing, and maintaining applied machine learning models for internal use cases (i.e. low SLA, batch models)
Expertise in the following domains: linear models, neural networks, tree-based models, and unsupervised learning
Proficiency with Python and SQL
Excellent communication skills, with the ability to explain complex findings and technical approaches to a variety of audiences.
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Experience in experimentation on social media or other consumer products with network effects (eg. cluster based testing)
Interest in conducting literature reviews, translating and championing best scientific practices to a wide range of functions across the company.
Experience writing technical articles related to machine learning & causal inference.
Experience with R.
Passion for Discord or online communities.
#buildbelonging
(New York City only*) Minimum salary of $206,000/year + equity and benefits Note: Disclosure as required by NYC Pay Transparency Law (Colorado only*) Minimum salary of $175,100 /year + equity and benefits *Note: Disclosure as required by sb19-085(8-5-20).
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now
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Senior Data Scientist Machine Learning | Discord |
What You'll Be Doing
Apply state-of-the-art machine learning techniques to provide a deeper understanding of users, communities, and our product
Build predictive models on massive data sets to support high impact company initiatives
Ideate, communicate, and partner directly with product, engineering, and business teams to improve decision-making and drive impact
Collaborate with data and engineering teams to design scalable primitives and inform our technical infrastructure
You Will Thrive In This Role If You Have
Expertise in at least 2 of the following domains: linear models, neural networks, tree-based models, and unsupervised learning
2+ years of industry experience in developing and productionizing applied machine learning for internal use cases (i.e. low SLA, batch models)
Masters, PhD, or equivalent experience in a quantitative area such as Computer Science, Applied Stats, Math, Astrophysics, etc.
Proficiency with Python
Knowledge of SQL
Excellent communication skills, with the ability to explain complex findings and technical approaches to a variety of audiences
Desire to work with amazing, passionate technical and non-technical partners who care deeply about solving challenging problems to improve Discord for its users
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Experience visualizing and auditing model outputs to ensure models are performing as intended
#buildbelonging
(New York City only*) Minimum salary of $186,000/year + equity and benefits Note: Disclosure as required by NYC Pay Transparency Law (Colorado only) Minimum salary of $148,800/year + equity and benefits *Note: Disclosure as required by sb19-085(8-5-20).
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now
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Senior Data Scientist Us | Within3 B9Fca267 Fe83 4A35 950E D7Fbb501Cc3D |
The Within3 data science department has an opportunity for a senior level data science/AI software engineer. We have an expansive natural language processing project where we are summarizing the most common ideas expressed in datasets of captured text. This position will own unsupervised text clustering projects, including the underlying k-means clustering methodology, automating the identification of the optimal number of clusters inherent to a dataset, and performing such text clustering on text data We build our data science software primarily in Python, but may move to C or C++ as needed. We do not use R. All code must be written robustly and efficiently with good object oriented programming skills, not quick-and-dirty throwaway scripts, and pass code reviews. Writing efficient queries to databases, mostly Cypher/Neo4j and possibly SQL, will also be necessary. Strong communication skills, both verbal and written, are stressed on our team so that we can efficiently build our products and learn from each other in a professionally supportive business environment.Responsibilities: Research and develop the latest data science methodologies into proprietary software Develop and apply proprietary modeling software to build models with a multilayer perceptron, convolutional neural network, recurrent neural network, unsupervised training, language processing, and/or Word2Vec embeddings. Build and maintain graph databases that support customer applications Natural language processing Write and maintain excellent documentation of all work. Python development, object-oriented programming, and packaging Machine learning design, especially with TensorFlow Natural language processing Database skills, especially Cypher/Neo4j Linux/Unix Basic Software DevOps (Git, GitHub, version control, test harness development) Basic AWS - Familiarity with the AWS Management console and managing data in S3 buckets) Docker - All development is required to be done with Docker to maintain a consistent development environments Ability to formulate creative, original, scientific solutions Strong requisite math and statistics education: Vector calculus, linear algebra, probability theory, statistical modeling Strong technical writing skills will be heavily stressed 5 years of experience is preferred Ph.D. in Computer Science, Math, Statistics, Physics, or closely related field strongly preferred Preferred Skills: Managing automated testing in GitHub Actions Managing and using other AWS resources, such as EC2 instances and Lambda Functions Mathematical writing in LaTeX Lower-level language development, such as C/C++, may arise Relational database design/SQL 100% Remote Health Care Plan (Medical, Dental & Vision) 401K Life Insurance Paid Time Off (Vacation, Sick & Public Holidays) A work/life balance beyond compare. And we mean it! Within3 is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at Within3 regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor.
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Data Scientist Growth | The Athletic |
About Us
The Athletic is a digital sports media company that brings true sports fans closer to the athletes, teams and leagues that captivate their attention. We serve a multi-faceted audience that craves a richer connection and understanding with immersive storytelling and a like-minded community of fans. Founded in 2016 and with major operational hubs in San Francisco, Los Angeles, London and Melbourne, we empower a truly global team of more than 600 creators and cover more than 250 professional sports and collegiate teams across the United States, Canada and the UK. Our newsroom has produced thousands of in-depth reports along with more than 120 podcasts and other forms of premium content. Put simply, The Athletic is at the center of a sports fan’s universe.
About the Role
We are looking for a data scientist who will bring and develop a deep understanding of user growth, user segmentation, paid marketing optimization, and LTV predictions to help us accelerate the growth of our subscription business and make our best-in-class product even better. In this role, you will work closely with our data, product, marketing, and engineering teams to develop advanced models that help us understand our business, optimize and automate our workflows, and help our product make smarter, more informed recommendations. As a member of our small data science team, your work will have a significant impact on our business strategy and how our subscribers use our product.
Responsibilities
Design, build, and implement mathematical models to drive key long-term business goals, including subscriber retention and offer revenue.
Train machine learning and data mining algorithms to solve problems across several teams.
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the job.
Use quantitative analysis to deeply understand what marketing and user data are saying, and to develop recommendations based on that analysis.
Design and develop data science pipelines in production.
Guide complex experiments.
Cultivate an outstanding analytics environment.
Evangelize and expand the impact of data science.
Requirements
2-3 years of experience as a data scientist with a proven ability to apply scientific methods to solve real-world problems on web scale data.
Strong working knowledge of a scripting language like R or Python.
Fluency in SQL.
Knowledge of statistical principles and how they apply to predictive modeling.
Ability to drive projects with minimal guidance and prioritize high-impact work.
Strong verbal and written communication skills with ability to build cross-functional relationships.
Can explain sophisticated concepts to diverse audiences and craft compelling stories.
Nice to Have
Familiarity with the AWS ecosystem.
Familiarity with Apache Airflow or other data workflow scheduling platforms.
Prior experience working with web-based subscription user data.
The Athletic Media Company is an equal opportunity employer and enthusiastically encourages people from all backgrounds and experiences to apply. The Athletic will consider all applicants without regard to race, religion, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other protected characteristic under applicable law.
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Data Scientist | Rackspace |
The Data Science team in Rackspace is formed by experts in the extraction of meaning and interpretation from data. This unique skill set requires ample knowledge of data engineering, the aid of statistical methods and machinery, but largely relies on analytical brain power. In Rackspace we have an immense amount of raw data which can rarely be utilized reliably and here is where the technical experts collect, clean, and validate their data driving actions out of it. The ability to scale, automate and think out of the box to solve complex business problems define the skills that we are looking for.
We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building Machine learning models that impact the key areas of the business. This position will require expertise on NLP, CI/CD, forecasting models, cloud computing, Kubernetes and Python.
This position is in charge of the phase 2 of development for Rackspace Natural Language Processing Machine Learning model (NLP) and to work on the Continuous Improvement / Continuous development (CI/CD) platform for the deployment of Machine Learning and AI projects automatically into production.
Required Experience
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
#LI-SB1
#LI-Remote
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
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Product Decision Scientist Iii | Calendly |
What is Calendly?
Calendly takes the work out of scheduling so our customers have more time to work on what’s really important. Our software is used by millions of people worldwide—with thousands more signing up every day. To maintain this exciting growth, we’re looking for top talent to join our team and help shape the future of our product.
Why join Calendly’s Product Research team?
The Product Decision Scientist will have a unique opportunity to join a quickly growing Product Research team to help us become a customer obsessed product organization with a data-informed strategy that is measured and validated throughout the development lifecycle. Decision Science empowers Calendly product teams to understand and quantify our impact to customers through meaningful and actionable product insights that drive product strategy and innovation.
We do this by guiding experimentation efforts and partnering with Product Managers and leaders in setting OKRs that help us impact our customers and the business. In partnership with Product Researchers, we better uncover insights within our rapidly growing and diversifying user base to build customer empathy and create a shared understanding of business performance and growth opportunities throughout the organization. We develop best practices in experimentation, KPI measurement and goal setting. Decision Scientists are thought leaders in understanding critical business issues around activation, engagement, and retention through various methodologies such as growth modeling, cohort analysis, clustering, regression, and behavioral analysis. If you’re seeking an opportunity to tackle big problems and strongly influence product strategy, then this is the job for you.
What are some of the high impact opportunities you’ll tackle?
Drive decision science efforts within a product group or squad to inform leadership about retention drivers, growth strategy, and help define OKRs and our experimentation roadmap
Support efforts to roll out new practices or programs across the product organization to help us strengthen our analytics practice; these may include things such as data governance, experimentation, and KPI definition
Effectively communicate findings, results, and recommendations to leadership, product teams, and the company, tailoring the message the fit the needs of the audience you’re presenting to
Ensure data and insights are timely, trustworthy, and actionable to drive decisions across Calendly
Partner with Product Managers, Designers, Engineers, and other cross-functional teammates to define analytics and experimentation roadmaps, define KPIs, review results and business impact, and opportunity size future product initiatives; align analytics and research activities to inform decision-making and action
Represent the voice of the business goals and growth levers among cross-functional partners by highlighting product performance, retention drivers, user behaviors, and synthesize findings across multiple channels of data and customer feedback
Apply quantitative methods to uncover insights (including, but not limited to experimentation, statistical analysis, cohort analysis, retention analysis, growth models, cluster analysis, and segmentation)
Synthesize large behavioral data sets and partner with Product Insights Researchers to create a complete picture of the Calendly customer, their behaviors, and needs
Define and maintain baselines of Features and identify opportunities for optimization and measure improvement over time
Serve as a SME in using and guiding others to use tools such as Optimizely, Heap, SQL/Redshift, and Segment
Create and maintain the dashboards in our BI platform and specify data integrations, tables/views, and/or gaps necessary to conduct robust cross-channel and cross-platform analysis
This opportunity is for you if you have/are:
At least 5+ years of experience in a product analytics, growth, strategy, or insights role
Previous experience at a SaaS company strongly preferred
A track record of helping cross-functional product teams identify and prioritize analytics needs and experimentation opportunities that will deliver high-quality, data-driven insights in a timely manner using the appropriate methodologies
Intermediate to Advanced SQL Skills
Experience in A/B testing statistics
Previous experience collaborating with others and creating insights from data and analysis
Comfortable with ambiguity in a rapidly growing and changing organization
Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time
If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at [email protected].
Calendly is registered as an employer in many, but not all, states. If you are not located in or able to work from a state where Calendly is registered, you will not be eligible for employment.
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Senior Manager Data Science | Discover |
About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
What You’ll Do
Provide thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.Manage a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.
How You’ll Do It
Provide thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implement tests to drive strategy enhancement and optimization.Recruit, train, coach and develop talent to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manage and set priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.Ensure standard work processes and documentation requirements are timely and consistently followed by team. Encourage continuous improvement of team processes and share across functional teams to ensure consistency.
Qualifications You’ll Need
The Basics
Bachelor’s Degree in Analytics, Engineering, Statistics or related field8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field2+ years of experience in People Management
Bonus Points If You Have
Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Lead Data Scientist | Apartment List |
Apartment List is looking for a Lead Data Scientist to help us match the right renter with the right property at the right time! In this role, you’ll have the opportunity to consider and balance multiple optimization objectives for renters, property management companies and revenue. To do so, you will need to understand the journey through the lens of data, and separate the important features from the noise. You’ll have the opportunity to lead work focused on machine-learning models that bring in renters, rank potential properties to best match renter preferences, and pinpoint the motivations and intent of renters. On your journey, you will partner with Product, Engineering, Design, Analytics and Growth to develop, implement, and evolve our machine learning models and practice. Data Science is a new function at Apartment List, and you will partner with the Director of Data Science to build out the roadmap and team for maximum impact.
Here’s what you’ll do as part of the team:
Deeply understand the data and customer and business problems, in order to more closely align machine-learning model objectives and develop the best features and models to predict them
Deliver and deploy end-to-end machine-learning models, build measurement plans, learn and iterate to drive results
Apply a solid statistical mindset and best practices, in the collaborative process of model development, deployment and evolution
Mentor and develop Data Scientists to grow their soft and hard skills
Partner closely with Engineering, Product, Analytics, Growth and Design to develop and refine machine-learning models that drive the customer and business success
Communicate broadly, clearly and often the opportunities and the results of applying ML - to stakeholders at all levels of the organization
Here are the skills and experience you’ll need to be successful:
Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
A degree in Computer Engineering, Mathematics, Statistics, Economics, Physics or related quantitative field with at least 4 years of industry experience in developing machine-learning models, and ideally leading projects and small teams
Strength both technically and theoretically in statistical learning and modeling, engineering, experimental design and analysis, causal inference.
Comfort and experience with communicating and collaborating with cross-functional audiences
Ability to quantitatively research and act on technical strategies, define clear scope, scale and timeline projects
Some mixture of SQL, Python and cloud (GCP preferred) experience will be essential
Familiarity with standard ML libraries and managed solutions and a strong ability to work through feature engineering, selection, hyper-parameter and model optimizations
A hunger to dig into uncharted territory and make a huge impact
And here is what’s in it for you:
An exceptional team: our hiring bar is absurdly high and your colleagues are talented, motivated, self- starters
An incredible opportunity to build out a critical function
A strong voice within R&D to influence our product and company strategy
A virtual-first culture that allows you to work from anywhere
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Staff Data Scientist | Apartment List |
Apartment List is looking for a Staff Data Scientist to help us match the right renter with the right property at the right time! In this role, you’ll have the opportunity to consider and balance multiple optimization objectives for renters, property management companies and revenue. To do so, you will need to understand the journey through the lens of data, and separate the important features from the noise. You’ll have the opportunity to lead work focused on machine-learning models that bring in renters, rank potential properties to best match renter preferences, and pinpoint the motivations and intent of renters. On your journey, you will partner with Product, Engineering, Design, Analytics and Growth to develop, implement, and evolve our machine learning models and practice. Data Science is a new function at Apartment List, and you will partner with the Director of Data Science to build out the roadmap and team for maximum impact.
Here’s what you’ll do as part of the team:
Deeply understand the data and customer and business problems, in order to more closely align machine-learning model objectives and develop the best features and models to predict them
Deliver and deploy end-to-end machine-learning models, build measurement plans, learn and iterate to drive results
Apply a solid statistical mindset and best practices, in the collaborative process of model development, deployment and evolution
Mentor and develop Data Scientists to grow their soft and hard skills
Partner closely with Engineering, Product, Analytics, Growth and Design to develop and refine machine-learning models that drive the customer and business success
Communicate broadly, clearly and often the opportunities and the results of applying ML - to stakeholders at all levels of the organization
Here are the skills and experience you’ll need to be successful:
Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
A degree in Computer Engineering, Mathematics, Statistics, Economics, Physics or related quantitative field with at least 4 years of industry experience in developing machine-learning models, and ideally leading projects and small teams
Strength both technically and theoretically in statistical learning and modeling, engineering, experimental design and analysis, causal inference.
Comfort and experience with communicating and collaborating with cross-functional audiences
Ability to quantitatively research and act on technical strategies, define clear scope, scale and timeline projects
Some mixture of SQL, Python and cloud (GCP preferred) experience will be essential
Familiarity with standard ML libraries and managed solutions and a strong ability to work through feature engineering, selection, hyper-parameter and model optimizations
A hunger to dig into uncharted territory and make a huge impact
And here is what’s in it for you:
An exceptional team: our hiring bar is absurdly high and your colleagues are talented, motivated, self- starters
An incredible opportunity to build out a critical function
A strong voice within R&D to influence our product and company strategy
A virtual-first culture that allows you to work from anywhere
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Senior Data Scientist | Definitive Healthcare |
Our expansion has created the need for an energetic and motivated Senior Data Scientist to join our team. If you would like to work at a fast-paced company that is experiencing high growth, keep reading!
The Senior Data Scientist will play a vital and important role in product development by leveraging advanced analytic methods to add value to Definitive’s proprietary data assets. The Senior Data Scientist for this opening will focus on designing, developing, and implementing advanced analytics within the product to further the Commercial Strategy goals of our clients.
The SDS will manage and lead multiple strategic product enhancements that provide insights focused on critical issues for our clients. The SDS will define project plans, guide and conduct research and analysis efforts, develop Commercial Strategy analytic framework, and coach and mentor junior data scientists.
In this role, you will:
Synthesize large amounts of data into discrete stories and assumptions to determine the “so-what” for clients who use our product
Produce quality scalable analytics with minimal supervision and maintain high client satisfaction through proactive client interaction and engagement
Build therapeutic area and domain expertise to apply to scalable product solutions and thought leadership initiatives
Project Manage all aspects of assigned product enhancements including execution of key project activities
Lead and guide the work plan including oversight of quantitative analysis (e.g. forecasting, estimating) to obtain key insights and findings for the product
Oversee the work of junior Data Scientists
Work with senior staff to promote consistent operations, efficient use of resources and knowledge sharing / best practices
Demonstrate commitment to personal and professional development through trainings and/or unstructured sessions, as well as mentoring junior staff to assist in their growth
Contribute to the social environment by executing assigned firm-building activities including knowledge management, internal training sessions and assisting with recruiting top talent
Requirements
BA/BS in Statistics, Computer Science, or Engineering is required; MS, PhD preferred
Minimum 10 years of experience in applied Machine Learning, Natural Language Processing, or other Data Science methods within life sciences
Extensive Python, SQL, and Jupyter Notebook experience is required
Strong working knowledge of SQL in the cloud (Azure preferred, AWS or Google Cloud acceptable)
Proficiency across various consulting and research methodologies, including the execution of quantitative analysis and analytic modeling/forecasting
Domain Experience in Commercial Strategy and/or Pricing & Market Access desired
Strong communication (written and verbal) skills including presentations, meeting/workshop facilitation and business writing
Excellent project and time management skills with the ability to work with colleagues across the organization
Highly motivated with a strong work ethic and ability to thrive in a fast paced, deadline driven environment
Experienced with all Microsoft Office products is critical, especially PowerPoint, Excel, Word and Outlook
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Senior Data Scientist | Levvel |
ENDAVA AT A GLANCE
Endava is a global public technology company with over 22 years of experience working with some of the biggest global names in payments, banking, financial services, insurance, media, technology, and more. Through Digital Evolution, Agile Transformation, and Automation solutions, Endava helps its clients be more engaging, responsive, and efficient by supporting them from ideation to production.
Endava has over 10,000 employees located in offices in North America and Western Europe and delivery centers in Romania, Moldova, Bulgaria, Serbia, Macedonia, Argentina, Uruguay, Venezuela, and Colombia. Along with investing in long-term customer relationships, Endava recognized the importance of providing rewarding and challenging careers for people and, by doing so, has established itself as the employer of choice in certain regions.
At Endava we value career growth and expansion. You will have various opportunities to grow into the career you desire. We offer mentorship programs and multiple career tracks to help you achieve your personal and professional goals.
Our Endava family is growing! The data capability is looking for a Senior or Lead Data Scientist to join our team. As a Senior or Lead Data Scientist at Endava, you must be flexible and willing to collaborate with clients and Endava team members to address complex business and technical challenges. Excellent communication skills are key, your ability to ask penetrating questions to uncover the root causes of challenges being presented is key to the overall success of the team.
Our Data Scientist professionals are strong consultants, who are just as comfortable talking through solutions with clients as they are at developing them. At Endava, we value collaboration and working cross-functionally to make the greatest impact on our clients and fellow team members.
In this role, you will work closely with technical leads, data architects, fellow developers, project/relationship managers, and client stakeholders. You will both participate and contribute during agile/scrum ceremonies.
Within three months, you will have ingrained yourself with your project and its goals, while developing strong relationships within and outside of your team.
Within one year, you will have worked across various client and internal Endava teams to build solutions. As a Senior or Lead Data Scientist at Endava, you will have engaged internally to foster and develop your skill sets and invested time in honing new ones. At Endava, being a part of the data capability means continuing to help us live our core values and culture, as well as drive growth through quality and consistent work and interactions.
Requirements:
5+ years of experience leading a team, preferably a data engineering / science team
Strong coaching and mentoring abilities
Experience performing as lead reviewer of merge requests/code reviews
Strong working knowledge of machine learning algorithms and metaheuristics including bin packing, linear programming, classifiers, clustering algorithms, anomaly detection, and time-series forecasting
Strong Python skills
Experience working with SQL
Excellent social, written, and verbal communication skills
Confidence working independently and making key decisions on projects
Industry experience in warehousing, supply chain, or logistics preferred
Strong ability to review existing codebases and refactor for improvement vs starting over
Experience with NumPy, SciPy, Pandas, Sci-Kit Learn (sklearn), TensorFlow, Flask, Marshmallow, Docker, and Linux
Strong knowledge in model development lifecycle, including monitoring, error analysis, retraining, and redeployment
Endava Benefits:
We have a great Benefits Package!
-Opportunity to work in an exciting and growing high-tech Global Organization
-Career Development opportunities
-Work/Life balance is the heart of culture
-Like to Travel? Great! We have over 51 offices in 49 cities, within 24 different countries
-Endava provides competitive full salary packages
-Personal and Professional growth with continued training opportunities
-Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
-Flexible Spending Accounts (Medical, Transit, and Dependent Care)
-Employer Paid Life Insurance and AD&D Coverages
-Health Savings account paired with our low-cost High Deductible Medical Plan
-401(k) Retirement plan with employer match and no vesting schedule
-Need incentives to stay healthy? We offer Wellness Benefits & Gym reimbursements
-Employee Assistance Programs
-Wellness Benefit
Pay Transparency:
-Pay ranges are available upon request
We are an equal opportunity employer and are committed to a diverse workforce. We are committed to a policy of equal employment and will not discriminate against an applicant based on their age, sex, sexual orientation, gender identity, race, color, creed, religion, national origin or ancestry, citizenship, marital status, familial status, people with physical or mental disabilities, pregnancy or any other category protected under the laws we operate under.
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Lead Data Scientist | Bluelabs |
About BlueLabs
BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.
Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, international groups, and companies. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.
About the Team:
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.
About the Role:
Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently. The Lead Data Scientist is both a subject matter expert and a team leader. This position reports to the VP, Data Science and manages a team of Data Analysts and Data Scientists.
What You’ll Do:
Lead the design, implementation, and delivery of analytics products and services
Own the predictive modeling process from ingestion to deployment
Design and evaluate longitudinal experiments and make recommendations based on the findings
Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Lead research development projects and data science project plans for clients and internal initiatives
Ensure team excellence by documenting processes and evangelizing new approaches
Work both independently and as part of a team to deliver accurate products on short deadlines
Manage a team of data scientists and analysts using your background and experience and help others grow
Who You Are:
You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.
You have experience that mastered a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives
You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button.
What We Are Seeking:
3+ years working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience with and ability to apply knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others
Experience with experimental design and causal inference
Advanced understanding of a statistical programming language, preferably R or Python
Expertise building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Proven experience creating analytics output within a production-oriented team
Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally
Experience creating and delivering informative and engaging data visualizations using industry leading tools
Leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving
In order to be qualified for this position you must currently have or be able to obtain and maintain a Federal Public Trust security clearance, which requires either US Citizenship or three (3) of five (5) years of US residency
What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:
Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
13 paid holidays
15 weeks paid parental leave
Professional development stipend & tuition reimbursement
Macbook Pro laptop & tech accessories
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Supportive & collaborative culture
Flexible working hours
Remote friendly (within the U.S.)
Pre-tax transportation options for commuting to our office in Washington, DC
Lunches and snacks
And more!
The salary for this position is $105,000+ annually.
While we have an office in Washington, DC, we are open to considering candidates from within the U.S.
At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site)
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Anti Fraud Data Science Manager | Sendwave |
Your key areas of focus :
If you’ve ever seen The Tinder Swindler , FYRE, or The Wizard of Lies you know fraud is an infinitely repeating social struggle that leaves the most vulnerable to pay the price. The Risk team at Sendwave builds and supports everything needed to aggregate the individual fraud cases and stop the scheme from ever being lucrative for the fraudster. This includes integration of vendor tools, training new fraud/anomaly detection algorithms, supporting our risk operations teams, and improving our monitoring capabilities. You’ll leverage your Data-to-Insights skills to develop accurate, targeted defenses that remove fraud from our platform.
In your first few months you’ll:
Set KPIs and scope constraints for new modeling projects to decrease our information lag between fraud happening and us receiving feedback of its presence.
Develop heuristics to quickly fight fraud.
Identify missing tooling and suggested verification actions to help our risk representatives make sense of the system’s decision to block and correctly assess the situation.
Evaluate and spec out integrations for new data sources for our fraud detection algorithms.
Diligently work to lower false-positive rates
Develop strategies to detect previously unseen patterns that may indicate a new fraud attack.
Develop strategies and tools to help less technical individuals develop fraud-fighting heuristics.
Automate the training and deployment of updated models.
Develop a new anomaly detection algorithm, helping us spot strange behavior before a chargeback occurs.
Help build experiments to evaluate new models, third-party data sources, and tooling.
We're building out a best-in-class Risk infrastructure that can enable us to grow and we're hoping to find an engineering manager that's excited to solve data-driven problems in an adversarial environment.
What you bring to the table:
4+ years of professional experience training and deploying models.
At least 3 years creating production models or building analysis in the industry
At least 1 year managing an engineering team of 3-5 people
Work authorization in the country in which you intend to be based.
Possess strong python software development skills.
Experience in two or more of the following areas:
Machine Learning (Scikit Learn, Tensorflow, Keras, XGBoost, H2O, etc...)
SQL Analytics (BigQuery, Redshift, PostgresSQL, Athena, etc)
Visualization Tools (matplotlib, seaborn, streamlit, Looker, Tableau, Periscope, etc)
Bonus points if you:
You like building data driven systems and know SQL.
Have strong engineering fundamentals — you've built applications in python as well as trained model and are comfortable with supporting all layers of the stack.
Demonstrate tenacity and a willingness to go the distance to get something done. You don't mind doing things manually but automate at every opportunity.
Are inquisitive, intellectually curious and can make sense of complex systems or information.
Can work in a structured approach towards goals and pay attention to detail.
Can easily communicate with non-technical folks and translate their feedback into code.
Are comfortable defaulting to over-communication and overreaching when it comes to coordination.
Adjust quickly to changing priorities and conditions and cope effectively with complexity and change.
Have developed models that deal with extreme class imbalance
Have worked in a team of mixed talent before (Data Scientists, ML Engineers, Backend Engineers)
Have fraud or financial experience.
Key details:
Team Composition: The Risk Team is a combination of ML engineers, Operation Specialists, and Data Scientists. Functionally the team is comprised of three pillars (Operations, Data Science, and Engineering) that collaborate in all sprint and quarterly planning meetings to create a balanced roadmap. You will be responsible for the Data Science pillar and directly manage both Data Scientists and Engineers.
Team Philosophy: The team functions on a 2-week sprint cycle with a Results Only Work Environment meaning you won’t be micromanaged but instead given the creative space needed to thrive in a highly collaborative setting
Location:
Our company is 100% remote, and has been since we were founded. Sendwave hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Recruiting team can help answer any questions about location as we move further into recruiting process. For this role we are targeting candidates in between GMT -6 and GMT +2, hiring within these locations: Belgium, Canada, Costa Rica, France, Germany, Kenya, Poland, Senegal, UK and US.
Major benefits:
A competitive salary and company equity pegged to it
Subsidized health insurance and retirement contribution matching (both vary from country to country)
26 weeks fully paid parental leave and subsidized fertility assistance
Unlimited vacation with a 20-day minimum requirement
$10,000 annual charitable donation matching
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Principal Data Scientist Search And Personalization | Getty Images |
Principal Data Scientist, Search and Personalization - United States or Canada (Remote)
Duration: Permanent
Location: United States or Canada (Remote)
Start: ASAP
Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.
Who You Are:
We are looking for a Principal Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics!
Your Next Challenge:
Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy
Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process
What You'll Need:
Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 5 years validated experience
Proven expertise as a technical lead providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful
Mental and Physical Demands:
A quiet location with reliable high-speed internet connectivity, an environment suitable for professional work (desk, chair, external monitor, etc.)
Frequent communication with others to exchange information
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
Constant assessment of accuracy and thoroughness of the work assignment
Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.
Benefits at Getty Images
Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire. For more information on these benefits, you may request an electronic copy of our Benefits Guide.
Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.
Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.
Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.
Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.
401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!
Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.
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Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
Who We Are:
Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe.
Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy.
Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers.
Getty Images works with over 496,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 495 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.
Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.
Leadership Principles
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.
We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.
We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.
We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.
We care, are kind, courteous, and respectful
We will not tolerate rudeness.
We reject biased behavior and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.
We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.
We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.
We deliver on our commitments, and commercial goals
With one voice and shared accountability.
We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.
We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply.
Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email [email protected].
Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.
For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.
Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.
Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.
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Senior Data Scientist | Primer |
As a Senior Data Scientist on the Forward Deployed Engineering Team, you will be apart of a jack-of-all-trades organization that serves as a key interface between individual clients and the broader Primer organization. Our charter is: (1) work closely with clients to discover the best use of Primer’s NLP/NLG algorithms for their needs; (2) prototype new algorithms, data pipelines, and visualizations; and (3) channel client feedback and algorithmic learnings back to Primer to drive future product development.
What you'll do:
Support the ideation and implementation of solutions and feature sets for the customers, partner with Primer’s product and engineering organizations to create and deliver.
Act as a full-stack everything: data scientist, engineer, and customer liaison for Primer.
Partner with product and engineers at Primer to identify and prioritize new features and algorithms based on customer engagement and feedback.
Build ways to analyze and understand customer engagement and product performance through modeling and data visualization.
Who you are:
3+ years of professional experience in the areas of developing and deploying machine learning and NLP-based solutions.
Hands-on experience with machine learning and NLP tools and libraries including Numpy, Scipy, Scikit-learn, SpaCy, NLTK, Torch, Tensorflow, Keras
Proven experience working with a variety of data sets, framing customer problems and use cases, and building data science models.
Understanding of NLP topics: event and topic detection, relation, and extraction; pattern detection; entity recognition; and clustering and classification models.
Ability to think about solutions from a customer perspective, establish conceptual connections between requirements and solutions.
Experience working with AWS, Docker, and APIs.
Excellent communication skills – you will be the face of Primer to customers’ organizations.
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Principal Data Scientist | Nielsen |
Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.
Principal Data Scientist
Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.
By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch, and how this engagement affects their choices from media and brand engagement to purchase. As the world’s largest research organization, Nielsen is powered by talented, creative scientists and researchers. Our Audience Outcomes Data Science associates come from diverse disciplines that include business, statistics, economics, engineering, mathematics, operations research and physics. These professionals drive innovation by continually improving complex analyses that deliver valuable insights to our clients. Because measurement is at the core of our business, our products have high visibility and make a direct impact on our clients.
Our team has an opportunity available for a Principal Data Scientist. The ideal candidate must have work experience in the development of econometric models, expertise in modern analytics programming, the capacity to work in an agile development environment alongside software engineers and a solid foundation in developing solutions for marketing, pricing and/or advertising organizations
Responsibilities
Research, design, develop, implement and test econometric, statistical, causal inference and machine learning models.
Create various prototypes for research and development purposes.
Design, write and test modules for Nielsen analytics platforms using Python, R, SQL or Spark.
Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy, StatsModels or R.
Documents and presents econometric, statistical and causal inference methods to within company associates.
Partners with Product organization on resolving data issues.
Work with Product on setting the direction for new analytics research and product development for engaged track(s)
Requirements
Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering or other Quantitative field of study.
5+ years of work experience in delivering analytics software solutions in a production environment.
5+ years of work experience in quantitative marketing analysis, with an emphasis on statistical, econometric and predictive analytic research that drives analytic product innovation and implementation.
Expertise in coding and testing of analytical modules using Python, SQL and Spark.
Expertise in at least one statistical software package, such as R or StatsModels.
Experience with Git or other version control tools.
Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines.
Exceptional problem solving skills.
Excellent oral and written communication skills.
Critical thinking skills to evaluate results in order to make decisions.
Abilities to solve problems independently and within a team.
Work with cross-functional team to resolve any hurdles in the projects.
#LI-GR1
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Lead Data Scientist | Nielsen |
Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.
Title: Lead Data Scientist
Division: Data Science
Location: United States: Remote
What is the role?
Streaming is exploding right now! As a Lead Data Scientist on the Connected TV Measurement team, you will have a front row seat for all of the action.
What will I do?
In this role, you will be working to develop methodologies to enhance Nielsen’s Connected TV measurement. Your primary responsibilities include:
Drive the development, testing, and implementation of new measurement methodologies, including client-focused impact assessments . Build and deploy production-ready automated methodologies into functional modules, including unit tests and quality control checks while incorporating CI/CD workflows. Identify root causes and solve any bugs or quality escapes. Ensure detailed documentation of new methodologies, research findings, and best practices. Ensure product quality, stability, and scalability by facilitating code reviews. Explaining complex model-related concepts in simple terms to non-technical internal and external audiences . Mentor and provide oversight to junior associates while serving as an example by sharing relevant best practices.
About the team
The Connected TV Measurement team within the Data Science organization focuses on expanding and enhancing Nielsen’s Connected TV ad measurement product. Our team develops new methodologies to measure audiences across all types of connected devices and integrates new data assets into Nielsen’s existing methodologies to expand the data delivered to clients.
Despite being spread across multiple Nielsen offices, our team values collaboration, teamwork, and having fun at work! We hold each other accountable for creating stable, scalable, and well-documented solutions.
Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!
Requirement's
5+ years of professional work experience in Statistics, Data Science, Computer Science, and/or related disciplines
Experience with developing and automating methodologies
Mastery of Python
Experience with sophisticated data mining & modeling solutions and the tools that support them such as Scikit-learn, PyTorch, and PyMC3
Experience with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines
Experience with ETL frameworks like Airflow
Familiarity with DevOps tools and CI/CD workflows including Git
Bachelor's degree in Statistics, Data Science, Computer Science or other related field
Organization and clear communication
Nice to Have
Advanced degree in Statistics, Data Science, Computer Science or other related field
Experience working in cloud-based environments such as Azure, AWS, or GCP
Domain expertise in Digital or Television measurement
#LI-GR1
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Data Scientist | Nielsen |
Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.
Title: Data Scientist - (Remote)
Division: Data Science
Where will I be?
We are a growing workforce integrated throughout the US and Internationally, though this particular role will be based in the United States. Working hours? We encourage working similar hours as the rest of your team to ensure overlap needed for collaboration, though are flexible based on individual needs. Can I work remotely? Of course! While many associates are located near Nielsen offices in New York, Chicago and Tampa, we leverage collaboration tools like Google Meet and Slack that enable us to work remotely.
What is the role?
We are looking to add a Data Scientist to our team of innovative Panel and Meter researchers. Our areas of expertise include researching hardware, software, quality controls and business rule changes that will improve the accuracy of our data reporting. You will learn and become an expert in Nielsen’s TV panel data, with a focus on Meter hardware and software used for data collection and crediting. You will design small and medium sized research projects based on project goals. You will then execute the research and code development based on the defined plans and use the results to recommend enhancements for production methodologies. You will also have opportunities to present research to key stakeholders and collect/implement feedback as necessary, and partner with cross-functional stakeholders to deploy their recommended methodologies into production systems. Excited? Come join us!
What will I do?
Learn and become an expert in TV Audience Measurement, with a focus on Meter hardware and software used for data collection and crediting.
Design, execute and summarize small size research projects. Support medium and large scale projects.
Identify, clean, and summarize data, potentially from disparate and complex data sources, to facilitate high quality analyses.
Develop efficient code and share for analysis.
Incorporate quality checks to proactively detect and correct for errors throughout analysis.
Provide recommendations based on research findings.
Document research plans, results, and conclusions. Share them with senior team members as needed.
Support senior team members in collaboration with department stakeholders (Engineering, Data Science, Technology, etc.). This includes providing status updates, developing timelines, sharing data, executing tests, presenting results, etc.
Is this for me?
You have a strong background in Mathematics, Statistics, Computer Science, Engineering or a related field.
You welcome new challenges and are comfortable diving into the unknown with the goal of making sense of what’s noise and what isn’t.
You bring innovative ideas to the table and are comfortable challenging existing methods and processes.
You have 3+ years of experience with the following: Manipulating, analyzing and interpreting complex data sources to tell a story from data through analyses. Programming in Python and SQL. Knowledge of BI tools such as Tableau and Spotfire.
You have working knowledge of cloud-based infrastructures and tools such as AWS and Gitlab and are willing to continuously learn more in this space
#LI-GR1
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People Scientist | Limeade |
About us:
Limeade is an employee experience software company on a mission to transform work into a source of positivity, energy, humanity, and purpose. Founded in 2006, Limeade is a pioneer in the HR technology industry and is consistently recognized for its own award-winning culture. Today, Limeade solutions are used in approximately 100 countries around the globe. We help every employee know their company cares – and deliver people and business results that matter. Limeade partners with its customers to transform the overall employee experience by helping to improve employee well-being, engagement, and sense of inclusion – in addition to reducing the risk of unwanted turnover and burnout. To learn more, visit www.limeade.com (AXS listing: LME)
About the role:
TINYpulse by Limeade is looking for a People Scientist to join the Limeade Institute and help drive thought leadership in the Employee Engagement space. A successful People Scientist will use a customer-centric approach to build our assessment/advanced listening capability (e.g., author survey questions, curate our assessment library, integrate research) and lead survey-related communication efforts. The People Scientist will partner with our data teams and marketing professionals to explore our wealth of data and create compelling research pieces. We want someone who shares our passion for simplifying analytics. Simplicity and education empower clients to draw insights from data on their own. The People Scientist will form great relationships with Customer Success and Sales as we build our Premium Consultation Services.
Expectations for Success:
Content Strategy (30%):
Collaborate with customers to design and build people-centric advanced listening and people/talent management strategies.
Curate the suite of Questions and Assessments for our Content Library.
Contribute to survey-question and product feature design sessions.
Own the process for content creation and management.
Client Results Analysis (30%):
Explore client data to identify the most valuable themes and stories to help our clients improve their culture and business outcomes
Participate in results review sessions with clients; the audience typically includes HR Professionals and C-Level Executives
Partner with the People Team and our culture committees to continuously improve our culture
Limeade Institute (30%):
Integrate findings from research and analytics initiatives into internal product plans as well as client and marketing communications
Present research and client results through leadership to create internal and external thought leadership on HR issues in a variety of industries and regions
Support and build domain expertise for our Customer Success, Sales & Marketing teams through coaching and training
Continuous Learning (10%)
The People Scientist is expected to stay current with the latest industry developments. These may be in the fields of people analytics, organizational psychology, behavioral science or digital transformation, and/or the latest innovative customer programs. Continuous Professional Development will include attendance at industry conferences, regular review of journal articles, learning new skills or methodologies.
Requirements:
Ability to demonstrate our values in an on-going and consistent way.
Master's or PhD in Industrial-Organizational Psychology, Organizational Development, or HR/Business Analytics.
3+ years of applied research experience (primary, secondary) and writing reports, publications.
3+ years of applied experience working as an HRBP within an organization or consulting to organizations.
3+ years in data and analysis using large scale data sets; experience with R preferred, experience with SQL, Python, other analytical programming languages a plus.
At least 1 year of applied experience working with surveys throughout the employee lifecycle (candidate, onboarding, engagement, inclusion, exit) and/or 360-type feedback processes.
Experience designing, implementing and analyzing surveys, as well as presenting results to executives and HR leaders.
Performance management system implementation experience not necessary but preferred.
Strong presentation skills especially when explaining data and connecting it to potential actions.
Basic knowledge of statistics and experience using statistical packages such as R or SPSS; moderate knowledge of statistics and basic knowledge of predictive analytics techniques preferred.
A desire to learn and work with new technology.
Limeade provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Limeade will provide reasonable accommodations for qualified individuals with disabilities.
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Data Scientist Ads Sales | Quora |
[As of June 2020, Quora has become a "remote-first" company. This position can be performed remotely from anywhere in the world, regardless of any location that might be specified above.]
About Quora:
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. We want to democratize access to knowledge of all kinds — from politics to painting, cooking to coding, etymology to experiences — so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
About the Team:
Unsurprisingly, then, the Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our rigor-driven experimentation processes to the backgrounds of our leaders (including many Product Managers and the Head of Product being former full-time data scientists). With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and work to advance our culture of rational decision making.
About the Role:
As a data scientist in ads, you'll work closely with sales leadership, product managers, and engineers to devise appropriate measurements and metrics, build visualizations, design randomized controlled experiments, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. In this role, you will deliver data-driven insights to guide our business strategy and extract untapped value in our platform by developing a deep understanding of our advertisers and users. Quora has a wide range of rich data, giving you ample room for exploration and creativity. For more about our work, see Quora's Data blog at https://quoradata.quora.com/.
Responsibilities:
Extract actionable insights from broad, open-ended questions to influence sales and product strategy and drive roadmap decisions
Analyze data to understand the root causes of metric movements and uncover growth opportunities
Design and evaluate A/B tests to make informed recommendations on product changes
Develop metrics and create dashboards to orient the direction of business development and track the success of the business
Communicate insights and recommendations to key partners
Improve the work of other data scientists through mentorship, tool development, and by bringing good industry practices to the team
Minimum Qualifications:
Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time). Learn why here
B.S., M.S., or Ph.D. in a quantitative field
2+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
Proficiency in using SQL and procedural programming languages (e.g. Python, R) to manipulate and analyze data
Familiarity with theoretical foundations of statistical techniques (e.g. hypothesis testing, regression)
Demonstrated ability to exercise judgment and combine quantitative skills with intuition to translate numbers into insights
Demonstrated ability to clearly explain data results to cross-functional teams
Preferred Qualifications:
4+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
Experience evangelizing best practices and process improvements on your team
Experience working with large data sets and distributed computing tools (e.g. Presto, Redshift)
Experience pushing code and navigating a complex codebase
Active Quora user with curiosity about the product
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act (CCPA) disclosure
#LI-RJ1
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Data Scientist | Definitive Logic |
Definitive Logic is seeking an entry level Data Scientist to join our team. This position is contingent upon award.
Responsibilities
Assist with predictive and statistical analyses and modeling.
Assists with development of models, algorithms, and metrics to facilitate interpretation of data.
Required Qualifications
Basic understanding of multiple programming languages and statistical packages such as Python and R
Knowledge of dataset tools such as Hadoop or Mapreduce.
Bachelor’s Degree, preferably in Engineering, Mathematics, or Business
Ability to obtain a government clearance
About Definitive Logic
Definitive Logic (DL) is a management and technology consulting firm known for delivering outcomes and ROI for agencies’ most complex business challenges. DL delivers performance-based and outcome-driven technology consulting solutions that directly support the strategic intent of our Defense, Homeland Security, Emergency Management, Federal Civilian and Commercial clients. We’re the preferred technology integration partner for Federal agencies to apply the best of data science, app dev, DevSecOps, cyber and cloud solutions to improve decision support, empower front-line employees and enhance back-office operations. We serve as trusted advisors providing objective, fact-based, vendor & technology-neutral consulting services.
Definitive Logic is ultimately a team of problem solvers — thought leaders, domain experts, coders, data enthusiasts, and technophiles. Our exciting projects and learning and sharing culture has consistently resulted in validation as a Great Place to Work: 2021 Washington Post Top Work Places (7-time winner) | 2022 Virginia Best Places To Work (8 years running, #1 midsize in 2019).
Definitive Logic is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable, or limited in your ability, to use or access our Careers page: https://www.definitivelogic.com/careers/open-opportunities/ as a result of your disability. You can request a reasonable accommodation by sending an e-mail to [email protected] or via phone: 703-955-4186. In order to quickly respond to your request, please use the words "Accommodation Request" as your e-mail subject line.
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Data Science Lead Us Canada | Cockroach Labs |
Databases are the beating heart of every business in the world
Cockroach Labs is the team behind CockroachDB, an open source, distributed SQL database. In addition to the open source version of the DB we offer CockroachCloud, our self-service, fully managed cloud offering of CockroachDB with Dedicated and Serverless options. We aim to build infrastructure that keeps pace with the world, so developers can focus on what matters most: building the best products. Join us on our mission to Make Data Easy.
About the Role
We are looking for a Data Science Lead/Manager to join the Data & Analytics team at Cockroach Labs. As a member of the data organization, You will work closely with our Product and Engineering teams to uncover insights about how customers use CockroachDB, helping to inform the Product’s decision-making and focus Engineering efforts. You will also work on long-running analytical initiatives marked by greater complexity and less structure that will yield substantial product enhancements. We’re looking for someone who’s comfortable working on interesting growth, engagement, and retention-related problems in the SaaS space using cutting-edge and proven techniques. This is a strategic, high-impact role that will help shape the future of CockroachDB products and services.
You Will
Apply various data science methods to understand the usage patterns of developers and builders who use CockroachDB
Identify, analyze, and interpret trends or patterns in complex data sets to develop a thorough understanding of CockroachDB products, users, and acquisition channels
Run the exploratory analysis to uncover new areas of opportunity, generate hypotheses, and quickly assess the potential upside of a given opportunity
Sleuth through large amounts of data to uncover feature-usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve user experience.
Work closely with marketing, design, product, support, and engineering to anticipate analytics needs and quantify the impact of existing features, future product changes, and marketing campaigns
Monitor, optimize, and report on marketing and growth metrics and split-test results. Make recommendations based on analytics and test findings
Organize disparate facts and analyses into a coherent narrative that evaluates the success of and influences product strategy
Perform evidence-based evaluations of the most important drivers of increased adoption of the CockroachDB capabilities
Prototype foundational data pipelines and partner with the data engineering organization to elevate these into canonical sources of truth for CockroachDB metrics
Identify and clearly communicate potential opportunities to improve the experience of users who want to build apps with CockroachDB
You have a “get things done” mentality, a desire to work in a rapid growth company, and Curiosity - basically the Growth mindset
The Expectations
In your first month, you will go through the Cockroach Labs onboarding process and start to build relationships with stakeholders across the company. You will understand our current data architecture and the internal and external resources we use to maintain it. You will start to prioritize the current backlog of data requests.
After 30 days, you will have a grasp on the major questions the product management team needs to answer, as well as the executive-level questions that require coordination between disparate data sets. You will update the roadmap priority and put in place key processes for building out this function. You will develop a point of view on the direction we need to take our data platform to support our product operations.
After 90 days, you will be fully integrated into the team. You will put in place the major processes for supporting Product and the broader organization, and make incremental improvements to our data platform that demonstrably improve our ability to make decisions. You will socialize a strategy for data in the Product team and how this will support the needs of other departments in the future.
You Have
8+ years of data science, machine learning, and advanced analytics experience in high velocity, high-growth companies
6+ years experience in Marketing and Growth Analytics or a related field in SaaS or consumer companies
Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts and funnel analysis.
Experience collaborating with and understanding the needs of stakeholders from a variety of business functions.
Strong coding skills in general-purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews, and deployment.
Extensive experience in applying Data Science / ML in production to build data-driven products using experimentation, A/B testing, statistical methods such as regression and hypothesis testing, statistical analysis, and quantitative modeling
Proficient in data analysis and visualization using tools like R and Python.
Experience with distributed data processing systems like Spark, and proficiency in SQL.
MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational
The Team
Reporting to Veera Ilamurugu, Head of Data
Veera Ilamurugu heads up the Data Analytics team at Cockroach Labs. He is responsible for our Product data strategy and is passionate about building and scaling businesses with data. Before joining Cockroach Labs, Veera was a Head of Analytics at Stitchfix, Leading an analytics team covering internal company strategy When not at work, he enjoys watching Netflix, trying out new recipes in the kitchen, and listening to music.
Our Benefits
100% health insurance coverage (for you and your dependents!)
Paid parental leave (with baby bucks)
Flex Fridays
Flexible time off & flexible hours
Education reimbursement
Relocation support (or coworking and home office allowances if you’re fully remote)
Cockroach Labs is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If you need additional accommodations to feel comfortable during your interview process, please email us at [email protected].
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Senior Data Scientist | Zwift |
Seniority Level: Mid-Senior
Location: Long Beach, CA. or US Remote (in select states)
Who we’re looking for:
As the Senior Data Scientist you will be a senior member of the Data Science team at Zwift, reporting to the Director, Data Science. You will partner with product, engineering, marketing, and data teams responsible for Zwift’s game client, content programming, companion app, website and marketing channels.
In partnership with the Director, Data Science you will be responsible for developing a deep and rigorous insight-driven organizational understanding of the customer journey through the full spectrum of our product and the supporting ecosystems. The ideal candidate will bring with them knowledge of industry best practices and processes to develop our solutions for predictive analytics, machine learning, statistical inference, testing and experimentation, ML operations and deployment, quantitative R&D, and technical communication.
If this is you, and the thought of working for a company that blends fitness with the fun of video games sounds amazing, then please apply straight away.
What you’ll do:
Identify opportunities and solutions across all dimensions of the business in which data science and advanced analytics can provide meaningful insights, drive operational improvements, and “move the needle” for our key business outcomes
Partner with product, program, marketing, sales, and support teams to understand their strategic objectives and tactics, and to develop roadmaps for data-driven optimization using the principles of machine learning and statistical analysis.
Be one of Zwift’s experts on quantitative analysis and machine learning methodologies, coaching colleagues and stakeholders to improve company-wide understanding of the role and application of predictive analytics, and continually advancing internal modeling, experimentation, and other analytical capabilities
Help drive continuous improvements in our core machine learning, forecasting, data, model deployment and reporting capabilities.
Actively “push the boundary” of our technical capabilities and help drive ideation for our analytics R&D efforts.
Champion the role of data science and be a trusted, objective, and recognized “voice of the data” across the organization
Actively mentor junior colleagues on the Data Science team, providing meaningful development and learning opportunities.
Collaborate with product and engineering teams to ensure that the product roadmap is aligned rigorously supported by data science
Support ad hoc request from the business that require advanced analytical and modeling capabilities
Be a senior representative of the Data Team and proactively communicate key insights and analysis to stakeholders at all levels of the company
What we’re looking for:
5+ years of experience in data science or advanced analytical roles roles for a B2C/B2B technology-product business
Demonstrated track record of excellence in identifying, leading and solving high-impact business problems using data science models and methods
Master's or advanced degree in a quantitative field
Expert level knowledge in machine learning algorithms, applied statistical analysis, predictive model building, testing, and training
Highly proficient in relevant date science tools, libraries, frameworks, and applications, e.g., SQL, Python, R, pytorch, tensorflow, etc
Proficient with tools of formal project management, code repositories, ml ops
Strength in communicating complex concepts and translating them into actionable business recommendations
Ability to network and influence without authority, and to bring together disparate teams to build a center of excellence around experimentation and to drive cultural change around the adoption of best practices
Bonus points:
Passion for cycling, running, triathlons and/or experienced Zwifter
Passion for video games
Experience with subscription/SaaS businesses
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Data Scientist | Zwift |
Seniority Level: Mid-Senior
Location: Long Beach, CA or US remote (in select stages)
About the role and about You:
You will be a key member of the Data Science team at Zwift, reporting to the Director, Data Science. You will partner with product, engineering, marketing, and data teams responsible for Zwift’s game client, content programming, companion app, website and marketing channels.
In partnership with the Director, Data Science you will be responsible for developing a deep and rigorous data-driven organizational understanding of the customer journey through the full spectrum of our product and the supporting ecosystems. The ideal candidate will bring with them knowledge of industry best practices and processes to develop our solutions for predictive analytics, machine learning, statistical inference, testing and experimentation, ML operations and deployment, quantitative R&D, and technical communication.
If this is you, and the thought of working for a company that blends fitness with the fun of video games sounds amazing, then please apply straight away.
What you’ll do:
Find opportunities and solutions across all dimensions of the business in which data science and sophisticated analytics can provide substantial insights, drive operational improvements, and “move the needle” for our key business outcomes
Partner with product, program, marketing, sales, and support teams to understand their strategic objectives and tactics, and to develop roadmaps for data-driven optimization using the principles of machine learning and statistical analysis.
Be one of Zwift’s experts on quantitative analysis and machine learning methodologies, mentoring colleagues and stakeholders to improve company-wide understanding of the role and application of predictive analytics, and continually advancing internal modeling, experimentation, and other analytical capabilities
Help drive continuous improvements in our core machine learning, forecasting, data, model deployment and reporting capabilities.
Actively “push the boundary” of our technical capabilities and help drive ideation for our analytics R&D efforts.
Champion the role of data science and be a trusted, objective, and recognized “voice of the data” across the organization
Collaborate with product and engineering teams to ensure that the product roadmap is aligned rigorously supported by data science
Support ad hoc request from the business that require advanced analytical and modeling capabilities
What we’re looking for:
3+ years of experience in data science or advanced analytical roles for a B2C/B2B technology-product business
Proven track record of excellence in identifying, leading and solving high-impact business problems using data science models and methods
Bachelor's or advanced degree in a quantitative field
Good knowledge in machine learning algorithms, applied statistical analysis, predictive model building, testing, and training
Proficient in relevant date science tools, libraries, frameworks, and applications, e.g., SQL, Python, R, pytorch, tensorflow, etc
Proficient with tools of formal project management, code repositories, ml ops
Strength in communicating complex concepts and translating them into actionable business recommendations
Ability to network and influence without authority, and to bring together disparate teams to build a center of excellence around experimentation and to drive cultural change around the adoption of best practices
Bonus points:
Passion for cycling, running, triathlons and/or experienced Zwifter
Passion for video games
Experience with subscription/SaaS businesses
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Director Data Science | Zwift |
Seniority Level: Director
Location: Long Beach, CA or Remote
About the role and about You:
Zwift is looking for an innovative, experienced and mindful manager to build and lead the data science team. The focus of this role is on proactively seeing opportunities to improve our products, services, marketing and customer experience, partnering with multi-functional teams from across the organization to develop and iterate on innovative solutions and products, and building the capabilities and platform to enable rapid deployment of these new capabilities.
The company is at a pivotal moment in its development with exciting strategic plans, continuing rapid growth and offers the chance for a motivated and forward-thinking leader to have high impact and help shape the future of the business.
The ideal candidate will have a proven track record of applying sophisticated statistical and machine learning techniques to solving exciting business problems across a broad range of business functions. If you are a genius at balancing deep technical wizardry with the ability to deliver practical applications in a fast-paced environment, then this is the role for you.
What you’ll do:
Establish the vision and roadmap for the data science team, prioritize the most impactful analyses, and guide team members in solving ambiguous and complex problems
Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications
Partner closely with Engineering, Product and Marketing leaders to develop innovative analytics solutions and products
Provide thought leadership and hands-on expertise in advanced analytics applications to business problems across the spectrum, including: data mining, forecasting, target setting, retention / churn prediction, LTV, segmentation, experimentation, marketing effectiveness, auto-categorization, personalization and recommendations
Partner with Data Engineering to build a platform for the development, testing, productization, deployment and monitoring of ML models
Hire and develop a growing team of data scientists
What you'll have:
Advanced Degree in Computer Science, Engineering, Econometrics, Math, Statistics, Information Sciences, or other quantitative fields
12+ years of experience in analytics or data science teams, with 5+ years of industry experience building data science driven solutions to solve business problems and managing data science teams
Proven experience with: machine learning, data mining, predictive modeling, statistics, experimental design, attribution, and econometric modeling
Fluent in SQL and Python or R
Expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication
Bonus points:
Experience building and leading Experimentation best practices and capabilities across multiple platforms / products and customer touch points
Passion for cycling, running, triathlons and/or experienced Zwifter
Passion for video games
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Data Scientist | Playstation |
Data Scientist – Global Payments & Fraud Management (GSS) Interested in working on strategic initiatives that allow for creativity and room for growth? Do you have strong passion for using data and cutting-edge technologies to drive the best business decisions? If so, read on…Sony Interactive Entertainment’s (SIE) Global Fraud Management and Global Payment Teams are the guardians of both customer trust and purchase success for PlayStation and the PlayStation® Network (PSN). We provide innovative solutions to support every element of the network, various platform services, customer service teams, a diverse developer community, and more. SIE has just launched a next generation risk platform and machine learning framework that support the global, fast growing PlayStation® Network customer base, world class PlayStation® consoles, hand-held devices, PlayStation® TV, PlayStation® Music, PlayStation® Video and PlayStation® Now. In doing so, the ability to extract information from data and drive action that help achieve business goals is essential. GPFM’s Data Science team is responsible for evaluating online user activity data for potential fraud across this new platform. Our job is to provide quantitative assessments of all customers and identify those individuals who pose the most risk to our businesses. We are currently looking for a high-caliber individual to join our team to demonstrate the benefits of being data driven for the Global Fraud Management, Global Payments and Account Security Teams.Responsibilities: 1. Utilize various approaches to maximize value from predictive analytics solutions. Optimize use of developed Machine-Learning algorithms in conjunction with other aspects of decision logic (rules, other models, etc.) 2. Demonstrate understanding of predictive modeling methodology that detect fraud and other ecommerce risks. Provide feedback to modelers on new features, algos, strategy, and modeling ideas. 3. Conduct robust statistical analysis to big data using hypothesis testing, design of experiment, inferential statistics, and more.4. Improve decision performance by analyzing misclassification cases, hit rates, and customer feedback. Organize, document and simplify rule assessment.5. Develop deep understanding of business challenges and recommend data features and functionality that can contribute to identifying risk and possible fraud. 6. Assist the Software Development and Peer team members in testing and deploying decision changes (rules, models, etc.) on the newly created platformRequirements: 1. Master’s degree in Statistics, Operations Research, Machine Learning or other related fields and a minimum of 5 years’ related work experience.2. 2+ years working with statistical modeling techniques (Regression, CHAID, Neural Networks, Cluster Analysis, RFs, XGBs, etc.). 3. 2+ years’ experience doing hands-on statistical analysis with some understanding of a statistical programming package such as SAS/SPSS/R/Python/Java/other is required.Preferred Skills:1. Proven recent, experience working with optimization, statistical analysis, machine learning or text classification algorithms. 2. Strong understanding of predictive modeling, data manipulation, data value assessment. Creation and understanding of macros for automating above mentioned processes is strongly preferred. 3. The candidate should demonstrate high energy/creativity, a passion for analyzing highly complex data sets, strong communication and project management skills, an entrepreneurial spirit, a relentless customer-focus, a practical understanding of quantitative methods, and superb attention to detail.
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Lead Data Scientist Precision Mental Health | Spring Health |
Our mission: eliminate every barrier to behavioral health.
Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person — whether that’s meditation, coaching, therapy, medication, and beyond.
Today, Spring Health serves more than 200 companies, from start-ups to multinational Fortune 500 corporations, and is a preferred mental health provider to companies like General Mills, Guardian, Bain, and Instacart. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.
We are looking for an entrepreneurial and experienced data science leader to drive the science and algorithms powering Spring Health’s precision mental health engine. This is an exciting opportunity to design and implement innovative data products that will positively impact the lives of our members as well as contribute to and move the science and practice of mental health forward.
What you’ll be doing:
Conceptualize, design and execute an ambitious data science, ML and AI roadmap for our precision mental health initiative in partnership with product, clinical, and engineering leads.
Incubate and experiment proof of concept ML models, scale them to production and continually iterate towards better performance via A/B experiments
Rapidly design, prototype and test ML models in production to deliver best in class mental healthcare services and clinical decision support products.
Build and scale the analytics, algorithms and recommender systems that can identify and target risk stratified member populations and enable the right match for the right patient at the right time.
Rapidly iterate on early stage products where a hybrid skill set of product intuition, user/business empathy and data science expertise is essential
Identify and define new data opportunities and work with other team members to improve how we do data collection, storage, experimentation and analysis.
What we expect from you:
You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
Significant (10+ years) data science experience, ideally including an advanced degree in a data-related or otherwise quantitative field.
You have overseen the development of data products from discovery stage into production.
You have experience in a broad spectrum of data science techniques and are excited to apply them to solve complex clinical or business problems
Significant experience extracting insights from large data sets (structured and unstructured)
Experience using, building and enabling analytics infrastructure (ie data, analytics and ML pipelines)
Proficiency using ML in variety of contexts, particularly supervised/unsupervised learnings, recommendations systems, NLP, information extraction, search and ranking etc
Prior track record of successfully incubating, scaling and deploying (impactful) ML data products in production.
Ability to understand not only how to use an analytical technique but why it is or is not appropriate in a given situation, with available data, and for specific business needs
Strong presentation skills — fluently tell a compelling clinical or business story with data
#LI-BW1
Benefits of working at Spring Health:
Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
Access to Spring Health’s platform which includes (10) free therapy sessions
Unlimited time off in addition to (12) paid holidays
16-18 weeks paid parental leave
$500 per year Wellness Reimbursement
Creating a culture you can thrive in:
Flexible remote and hybrid work style arrangements
Calm Fridays to encourage meeting & distraction free days
Donation matching to support your favorite causes
Dedicated employee resource groups
Supporting you financially through:
Competitive mix of salary and stock options
Employer sponsored 401(k) match
In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously:
Members Come First We are genuine member advocates.
Move Fast to Change Lives We build with urgency and intention.
Take Ownership We extend trust and hold ourselves accountable.
Embrace Diverse Teams & Perspectives We find strength in the diversity of cultural backgrounds, ideas, and experiences.
Science Will Win We will achieve impact by innovation and evidence based frameworks.
Candor with Care We are open, honest and empathetic.
More information on Spring Health and what it is like to work here can be found here!
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
#LI-remote
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Director Data Science | Xero |
Who We Are
Ro is the healthcare technology company building a patient-centric healthcare system. Ro's vertically-integrated primary care platform powers a personalized, end-to-end healthcare experience from diagnosis, to delivery of medication, to ongoing care. With a nationwide provider network, in-home care API, and proprietary pharmacy distribution centers, Ro is the only company to seamlessly connect telehealth and in-home care, diagnostics, and pharmacy services nationwide to provide high-quality, affordable healthcare without the need for insurance. Since 2017, Ro has facilitated more than six million digital healthcare visits in nearly every county in the United States, including 98% of primary care deserts. Ro also provides its patient-centric solutions including Workpath, its in-home care API, and Kit, its at-home diagnostic testing service, to other healthcare companies. Visit Ro.co for more information.
Ro was named #2 in Wellness on Fast Company's 2019 list of the World's Most Innovative Companies, listed by Inc. Magazine as a Best Place to Work in 2020 and 2021, and named one of FORTUNE's 2021 Best Workplaces In Health Care.
We are looking for a dynamic data science leader to advance our machine learning practice. In this player/coach role, you will own the data science roadmap and priorities from end-to-end, playing a hands-on role in everything from model building to ML infrastructure development, while also nurturing and growing a small team of data scientists.
What You'll Do:
Build world-class data products, world-class data science, and machine learning practice
Lead data science and applied machine learning efforts at the company level
Determine how data science and machine learning are best leveraged across the business, partnering with stakeholders in product, engineering, and leadership to build and prioritize a roadmap of initiatives and data products
Play a hands-on role in all facets of model development and deployment
Partner with engineering to define and build best-in-class machine learning tools, workflows, and infrastructure
Manage, mentor, and grow a small team of data scientists
What You'll Bring to the Team:
8+ years of experience in data science, algorithmic engineering or machine learning
3+ years of experience managing a team of data scientists in a rapidly scaling technology company
Deep technical background. MS or PhD in Computer Science, Machine Learning, Statistics, Operations Research or related field; or equivalent experience
The ability to apply your technical know-how in a variety of contexts – hands-on work; coaching and mentoring the team; influencing company strategy and roadmap
Excellent written and verbal communication skills
Adept at bringing structure to initially unstructured domains, and driving clarity and decision velocity on projects with multiple stakeholders
A track record of shipping data products and iterating on them
Bonus Points:
Prior experience building, deploying, and maintaining data products in a healthcare context
We've Got You Covered:
Full medical, dental, and vision insurance + OneMedical membership
Healthcare and Dependent Care FSA
401(k) with company match
Flexible PTO
Wellbeing + Learning & Growth reimbursements
Paid parental leave + Fertility benefits
Pet insurance
Student loan refinancing
Virtual resources for mindfulness, counseling, fitness, and physical therapy
At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we are committed to building an inclusive environment where you can be you.
See our California Privacy Policy here.
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Fraud Analyst Data Scientist | Lendistry |
EXECUTIVE SUMMARY OF RESPONSIBILITIES
The Fraud Analyst/Data Scientist will develop predictive models and use proven statistical methodologies to validate fraud hypothesis. Will translate recommendations into development and implementation of sound mitigation controls involving new strategies and technologies. This role has direct impact on risk mitigation strategy of Lendistry. Success in this role requires quantitative abilities and industry and risk management experience as well as SAS/SQL/Python/R/ and knowledge ML techniques.
ABOUT LENDISTRY
Lendistry is a minority-led and technology-enabled small business and commercial real estate lender that innovates game changing lending practices for historically underserved small businesses. With Community Development Financial Institution (CDFI) and Community Development Entity (CDE) certifications, and offering SBA 7(a) loans through its subsidiary, Lendistry is a responsible partner for small businesses through their growth stages and beyond. We are a national employer whose mission is to provide economic opportunities and progressive growth for small business owners and their underserved communities as a source of financing and financial education.
GENERAL RESPONSIBILITIES
The Fraud Analyst/Data Scientist will support the Fraud department by extracting, compiling, transforming, creating, and analyzing large amounts of data from multiple sources as part of the risk mitigation effort.
As a member of the Fraud team, you will be providing the statistical evidence (and evaluating the conceptual soundness and performance) of new doctrines, strategies, models, technologies, and procedures to improve fraud detection efficacy and efficiency.
Help to validate the proof of concept of top of the industry customer authentication solutions to mitigate risk and to improve customer’s experience.
As a member of the Fraud team, you will help to identify and to evaluate the predictiveness of traditional and non-traditional variables and sources of data in order to incorporate them into existing fraud mitigation policies, procedures, controls at Lendistry.
Actively participate in partner meetings (internal and external) in order to exchange current fraud mitigation recommendations as well as providing and receiving feedback regarding existing controls and technologies.
Design and maintain fraud data repositories and ETL process in order to ensure accuracy and validity of fraud models policies and procedures.
Create fraud dashboards for all fraud types.
PROFICIENCIES
Excellent verbal and written communication skills.
Background in fraud detection / Risk Management and data science
Ideal background in open-source fraud solutions, claims based fraud detection and abnormally detection algorithms.
Familiarity with fraud detection technics (rule-based, statistical/predictive models, AI supervised and unsupervised learning)
Strong business and data analysis skills
Experience with Python, Tensorflow, and H2o packages.
Experience working with large datasets as well as unstructured data.
Basic experience developing automation including web scraping
Strong communication and interpersonal skills
Experience with drafting business requirements or business use cases specifically related to fraud detection services
Experience evaluating our source vendors and developing a proof of concept to illustrate the technical solutions proposed.
Sophisticated word processing and computer database skills, especially in Microsoft Word, PowerPoint, and Excel.
Ability to think creatively and innovatively.
Good interpersonal skills with the ability to work effectively with individuals and groups at all organizational levels, ability to work independently and as part of a team.
Strong analytical ability with active listening skills.
EDUCATION AND EXPERIENCE
Bachelor’s degree in a quantitative field: engineering, math, statistics etc. MS/PHD preferred
3+ years of experience in business analysis, customer segmentation, and/or predictive modeling, preferably in the financial services industry
2+ years in using machine learning packages such as Python, R, SAS
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Sr Data Scientist Data Analytics | Lendistry |
EXECUTIVE SUMMARY OF RESPONSIBILITIES
The Senior Data Scientist will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on the risk, product, and revenue strategy of Lendistry. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: You know how to plow through data with SQL/Python/R/, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics.
ABOUT LENDISTRY
Lendistry is the country’s largest minority-led and technology-enabled small business and commercial real estate lender with Community Development Financial Institution (CDFI) and Community Development Entity (CDE) certification. We are a national employer whose mission is to provide economic opportunities and progressive growth for small business owners and their underserved communities as a source of financing and financial education.
GENERAL RESPONSIBILITIES
Support the Analytics Department by leveraging data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to improve marketing strategy and reduce risk.
As a member of Analytics Team, research and develop new methodologies and techniques to help marketing decision and risk management.
Mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with sales opportunities and credit risks.
Act as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes, or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
PROFICIENCIES
Excellent verbal and written communication skills.
Strong knowledge of 1 or more scripting and programming languages (R, Python, SQL, etc.)
Background in a variety modeling technique: GBM, logistic regression, clustering
Experience of Data ETL process is a plus
Sophisticated word processing and computer database skills, especially in Microsoft Word, PowerPoint and Excel.
Ability to think creatively and innovatively.
Good interpersonal skills with the ability to work effectively with individuals and groups at all organizational levels, ability to work independently and as part of a team.
Complete other related duties as assigned and support the Company’s strategic initiatives.
EDUCATION AND EXPERIENCE
MS/PHD degree in a quantitative field: engineering, math, statistics, finance etc.
3+ years of experience in analytics and predictive modeling, preferably in the financial services industry
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Senior Data Scientist Product | Hinge Health |
Hinge Health is building the world’s most patient-centered Digital Musculoskeletal (MSK) Clinic™. It is now the leading Digital MSK Clinic, used by four in five employers and 90% of health plans with a digital MSK solution. Hinge Health reduces MSK pain, surgeries, and opioid use by pairing advanced wearable sensors and computer vision technology with a comprehensive clinical care team of physical therapists, physicians, and board-certified health coaches.
Hinge Health’s HingeConnect integrates with 750,000+ in-person providers and enables real-time interventions for elective MSK surgeries, driving proven medical claims reduction. Available to millions of members, Hinge Health is widely trusted by leading organizations, including Land O’Lakes, L.L. Bean, Salesforce, Self-Insured Schools of California, Southern Company, State of New Jersey, US Foods, and Verizon.
To Learn more about our company & culture please visit:
http://www.hingehealth.com & https://www.hingehealth.com/diversity-equity-and-inclusion/
You’ll play a key role in analyzing data generated by our users as well as providing insights for a wide variety of internal teams (Product, Growth, Clinical, Commercial, Finance, Research) and large enterprise customers. You will be a highly-visible, trusted partner to many of our most important decision makers. This is a fantastic opportunity to join our fast-growing Data team and shape how Hinge Health puts its data to use.
WHAT YOU'LL ACCOMPLISH
Spearheading analysis and reporting with SQL/Python and interactive dashboards
Working across departments to standardize how our company runs business and product analysis
Building out our data dictionary and setting up aggregated views of our datasets
WHAT WE'RE LOOKING FOR
Experience in analytics with a focus on operational reporting (KPIs) and cross-functional analysis
Can take an analysis from stakeholder request, to an ad hoc query, to a high-caliber dashboard in hours
Adept at working with data engineers to set company-wide standards for our datasets, helping create a single source of truth for all analytics
Strong communication skills and patience when working with multiple stakeholders simultaneously
SQL experience required; Python a nice-to-have
Prior experience with BI/visualization tools (Tableau, Mode Analytics, Looker, etc.) a must
A high attention to detail and the ability to QA data at a glance or in depth
Ability to work autonomously and with minimal guidance
WHAT YOU'LL LOVE ABOUT US
Competitive compensation with meaningful equity
Medical, Dental, Vision, Disability and Life Insurance (We cover 100% of your premium and 75% for your dependents)
Flexible PTO
FSA/HSA accounts
Family & fertility benefit through Maven Clinic
401K match
3 months paid parental leave
Professional Development budget
Quarterly lifestyle benefit to use towards WFH equipment & fitness
Generous mental health stipend
Work from home policy
Opportunity to join a fantastically talented, diverse, and passionate team at a pivotal time in the company’s lifecycle
Pursuant to State Fair Pay Act, below is a summary of compensation elements for this role at the company if based in the following locations:
Colorado & New York State annual salary: $103,656 - $155,484
New York City annual salary: $123,400 - $185,100
________________________
We want to make you aware that there continues to be a significant increase in phishing attempts across all industries where fraudsters are impersonating real HR employees and sending fictitious job offers to applicants in a scheme to obtain sensitive information.
Please note that we will never ask for your financial information at any part of the interview process including the post-offer stage, and will only correspond through @hingehealth.com domain email addresses.
If you encounter any suspicious activity, we recommend you cease all communication with the individual and consider reporting them to the US FBI Internet Crime Complaint Center.
If you would like to verify the legitimacy of an email you received from our recruiting team, please forward it to [email protected].
If you're interested - we'd love to hear from you. No recruiters, please.
Hinge Health is proud to be an Equal Employment Opportunity employer. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Hinge Health is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you feel you need assistance or an accommodation due to a disability, please let us know by reaching out to your Recruiter and we'll work with our accommodations team to evaluate your request.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Staff Data Scientist Product Analytics | Babylist |
Who We Are
Babylist is the leading vertical marketplace and commerce destination for baby, driving purchase decisions for more than 8 million people each year. Utilizing robust proprietary data, patented technology, and unbiased editorial guidance, Babylist recommends expert-tested products to those starting their parenting journey so loved ones can offer their support. Babylist registries connect new parents and their community of family and friends who help plan, prepare, and shop for a child's arrival. Babylist is the generational brand in baby, leading the $67 billion baby products market as the trusted go-to solution for growing families. To learn about Babylist’s registry options, editorial content, and more, visit www.babylist.com.
Our Ways of Working
We’re a remote-first company with team members located across the United States spanning multiple time zones. This means we put in extra effort to make sure we connect and collaborate in ways that make sense for us. We know how valuable the flexibility of remote work is for our employees so people can get the work done in the way that works for them and their teams. After all, many parents call Babylist their professional home, and sometimes, life puts you in a position where you just have to jump off that Zoom meeting to clean up that banana that’s getting stomped on by your 2 year old.
We know that personal connection is the foundation for the great work we do together. In order to quickly build those relationships, we offer the opportunity to meet with coworkers in person two times a year at a full company offsite and a departmental offsite. These are great opportunities to meet the people you work with every day and to do some of the work that is much more difficult to do virtually. Most of our roles are fully remote, but these opportunities to meet in person will involve limited amounts of travel. For some leaders, there might be more opportunities to get together in person that would require about 10% travel to Oakland, CA or elsewhere.
The Data Team
The Data Team at Babylist powers data-driven decision making through all aspects of the company’s business. We are not a service team. We are a product function with a strong focus on 3 core aspects of data -- engineering, analysis and data science. We are looking for a Staff Data Scientist to join our growing team.
The ideal candidate has technical data skills, a deep understanding of product development & analytics, a strategic mindset, and excellent organization and communication skills. We are looking for critical thinkers who ask the right questions and seek answers with data. This key hire will be a thought leader among the company, mentoring others on problem solving and helping uncover new growth opportunities.
The Product Analytics Data Scientist will work directly with the Babylist Product Team to help craft delightful experiences e for both audiences in our userbase: expecting parents and gift givers.. This individual has extensive experience working with Product Managers, conversion funnels, experiment design, and can infer nuanced user behavior from the data. They’ll play a leading role in defining the instrumentation needed to monitor every facet of the Babylist ecosystem and provide measurement of feature performance. We are looking for someone who can spot when a new feature is going to impact ML training data or alter the interpretation of a commonly used KPI. This is an excellent opportunity for someone who wants to have a deep business impact while helping improve others around them.
What You'll Do
Lead data initiatives relating to new product development — scoping data changes for new features, specifying data collection, and monitoring result
Own and be a knowledge expert in our data tools
Work with stakeholders to translate their questions and hypotheses into structured analysis
Work with product managers, department heads/directions, and data engineers to mature the data capabilities of Babylist’s analytics ecosystem
Deliver deep-dive analysis and make recommendations for future initiatives or projects
Own the design and development of core data team products (e.g. data models, reports, analyses)
Effectively present and communicate analytics findings across the company
Who You Are
You have 6+ years delivering results in a Data Analyst, Data Scientist, or similar role at in a Product organization, ideally at an eCommerce company.
You have strong SQL fluency: ability to work with large datasets and advanced queries
You have familiarity with event analytics tools such as Segment and Amplitude, Heap or Indicative
You have experience with visualization tools such as Mode, Tableau or other BI platforms
You have experience with a scripting language like Python
You have experience with git version control
You have experience building descriptive and predictive machine learning models
You hav an understanding of data warehousing and relational data modeling, experience with and/or snowflake preferred
You have statistical methodology: experiment design, multivariate analysis
You have an impact oriented mindset; Demonstrated ability to ask the right questions, prioritize work and manage stakeholder expectations
You have next-level communication skills to understand and discover business pain points and build solutions
You have keen attention to detail and data integrity
You have a bachelors or masters degree with a strong quantitative focus
Your Core Competencies Might Include:
Plans and Aligns
Cultivates Innovation
Collaborates
Manages Complexity
Drives Results
Why You Will Love Working At Babylist
We are a remote first company and we invest in the infrastructure you’ll need to be supported and successful: tools, opportunities to connect with colleagues, and a stipend to help you set up your office
We build products that have a positive impact on millions of people’s lives
We work at a sustainable pace which means work/life balance is a real thing here
We believe technology and data can solve hard problems
We believe in exceptional management
We are an antiracist organization and doing the work to support differences of all kinds
We offer competitive pay and meaningful opportunities for career advancement
We have great benefits like company paid medical, dental, and vision, a generous paid parental leave policy, and 401k with company match
We care about employee wellbeing with perks for physical, mental and emotional health, parenting, childcare, and financial planning
If your experience is close to what we’re looking for, please consider applying. Experience comes in many forms – skills are transferable, and passion goes a long way. We know that diversity makes for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply.
#bi-remote
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Data Scientist Sr People Analytics | Starbucks |
data scientist sr- People Analytics (Remote) (
Job Number:
220047073)
Job Posting
Jun 28, 2022
Job Posting End Date
Ongoing
Location
US-WA-Seattle-Starbucks Support Center
Is this role eligible for remote or hybrid work? Yes-Remote
Starbucks - Data Analytics
Schedule
Full-time
Job Summary and Mission
Now Brewing – Senior Data Scientist, People Analytics #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and its rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Senior data scientist, you will support our people analytics efforts at Starbucks, focused on strengthening the Starbucks partner experience. As a member of our team, you will collaborate cross-functionally with data engineers, data scientists, business experts, and external vendors to help Starbucks make better decisions by using data and analytics skills. In this role, you will lead strategic initiatives aimed at optimizing Starbucks retail store operations using data science and simulation, and building Starbucks' next generation labor model system to forecast the number of store partners required to meet customer demands. In this position, you will investigate business problems related to store operations, build data solutions, uncover insights, and explain them to drive better business decisions. You will be confident in communicating with all levels of business partners.
As a senior data scientist, you will…
Lead the design and development of scalable data science solutions from the start to the finish by utilizing time series modeling, machine learning, and statistical analysis. Build scalable processes for cleaning, aggregating, and loading data.
Understanding business initiatives, challenges, questions, concerns, or ideas, transforming them into successful data science solutions, and monitor data science metrics and KPIs
Mentor data analysts & data scientists on best practices, processes, frameworks, and KPIs
Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.
We’d love to hear from people with:
Education: BS+ with a concentration in a quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline. Masters preferred
Minimum of 5+ years of industry experience in data and analytics work
Strong problem-solving skills with the ability to influence leadership teams at different levels
Significant experience working with predictive and statistical modeling, machine learning, and strong expertise in all phases of the modeling pipeline
Business experience with data visualization tools and storytelling
Experience in experimental design and common statistical analysis techniques
Strong SQL, databases, and ETL / ELT skills required including cleaning and managing data.
Advanced competency and expertise in Python, R, or some combination
Experience with cloud platforms such as Azure, AWS, and GCP
Experience working with distributed data processing frameworks such as Spark and Data bricks, and languages such as Java, PySpark, or Scala
Experience working with Dev Ops and/or ML Ops, preferred.
Retail and eCommerce experience, preferred
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at 206-318-0660 or via email at [email protected]
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Lead Manager Data Science Product | Starbucks |
lead manager data science, Product - Seattle or Remote (
Job Number:
220025480)
Job Posting
May 26, 2022
Job Posting End Date
Aug 25, 2022
Location
US-WA-Seattle-Starbucks Support Center
Is this role eligible for remote or hybrid work? Yes-Remote
Starbucks - Data Analytics
Schedule
Full-time
Now Brewing – Lead Manager Data Science! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Starbucks Lead Data Science Manager, you will lead a team of data & decision scientists to build data products, uncover customer insights, & communicate discoveries that drive towards better decisions across the Product (Beverage, Food & Lobby, R&D), and Finance teams. You will develop a strong partnership with stakeholders to enhance understanding of our customers.
Leveraging your previous experience, we will enable you to:
Evaluate & translate unstructured questions from business teams to data problems, and define roadmap for potential data solutions.
Build relevant analytics solutions including data transformation, algorithm development, & insight generation.
Drive adoption of analytics data products & insights across business teams.
Utilize systems thinking approach to conceive, plan & prioritize building of evergreen data products.
Develop analytic systems & predictive models, experiment with new data science techniques, and visualize data & craft effective communications to share discoveries
Establish key performance indicators for the business team and promote data driven decision making that allows for effective planning in stakeholder teams
Establish yourself & the team as subject matter experts in advanced analytics across departments.
Mentor data & decision scientists in pioneering techniques and business acumen
We’d love to hear from people with:
Demonstrated experience with data munging, analysis, machine learning techniques, visualization & story-telling to executive audiences.
Strong problem solving skills with ability to influence leadership teams at different levels
Expert proficiency in data analysis using SQL
Expert knowledge of statistical analysis & machine learning methods (descriptive statistics, regression, clustering methods, etc.
Business experience with data visualization tools (e.g., Tableau, Power BI), and authoring presentations or papers.
Working knowledge of data systems design & data technologies.
Experience writing & providing feedback on scripts & coding (Python or R, Scala/Java a plus)
Retail, Finance, and/or eCommerce experience preferred
Join us and be part of something bigger. Apply today!
Starbucks and its brands are an equal opportunity employer of all qualified individuals.
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at 206-318-0660 or via email at [email protected]
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Decision Scientist Multiple Openings | Starbucks |
decision scientist (multiple openings) - Remote (
Job Number:
220042760)
Job Posting
Jul 14, 2022
Job Posting End Date
Aug 14, 2022
Location
US-WA-Seattle-Starbucks Support Center
Is this role eligible for remote or hybrid work? Yes-Remote
Starbucks - Data Analytics
Schedule
Full-time
Now Brewing – Decision Scientist! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only
celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Decision Scientist on the Data, Analytics, Insights, and Business Operations team, you will work cross-functionally with data engineers, data scientists, business experts, and external vendors to help Starbucks make decisions better by using data and analytics. You will leverage statistical analysis, data visualization, and storytelling to help us identify opportunities. You will consult with cross-functional business teams, collaborate closely with technology teams, and identify ways to improve existing processes or analytical approaches. You will quickly become an expert in one of our key business and data domains (Supply Chain, People Analytics, Marketing, or Store) and work cross functionally in an analytics center of excellence to improve existing processes or analytical approaches
As a decision scientist, you will…
Extract and transform data from multiple sources in preparation for exploratory data analysis, modeling, and reporting.
Determines analytics approach to solve business problems
Transform model outputs into formats that are digestible to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.
We’d love to hear from people with:
Education: BS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science, or similar discipline
Minimum of 3+ years industry experience in data or decision science
Strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline
Experience building complex data sets from multiple data sources, both internally and externally.
Strong SQL, database and ETL skills required including cleaning and managing data.
Advanced competency and expertise in Python, R or some combination
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
Ability to educate others on statistical / machine learning methods
Self-starter, attention to details and results orientated, able to work under minimal guidance.
Proficient in communicating effectively with both technical and nontechnical stakeholders.
Experience on Cloud platforms such as Azure, AWS, preferred
Join us and be part of something bigger. Apply today!
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Sr Decision Scientist Product Finance | Starbucks |
Sr. Decision Scientist – Product & Finance (Seattle, Phoenix, Chicago, or Remote) (
Job Number:
220035182)
Job Posting
Jun 23, 2022
Job Posting End Date
Ongoing
Location
US-WA-Seattle-Starbucks Support Center
Is this role eligible for remote or hybrid work? Yes-Remote
Starbucks - Business Strategy
Schedule
Full-time
Job Summary and Mission
This job contributes to Starbucks success by guiding business decisions through being able to provide thought leadership & analytics subject matter expertise to relevant business objectives. You will be able to design & recommend appropriate analytics approaches to solve key business problems, which can be developed in a cross-functional manner, and can be consumed by business partners at all levels. There needs to be a focused attention on insights personalization that focuses on turning data into information.
Models and acts in accordance with Starbucks guiding principles.
Summary of Key Responsibilities
Responsibilities and essential job functions include but are not limited to the following:
Analyze business requirements for Core Product & Finance teams, and assess impact of potential analytics solutions or novel research methods & metric definitions to support decisions in these teams
Actively consult with stakeholders to identify pain points in customer journey, ideate where analytics insights or data products may be useful, and co-create high-level solutions with a cross-functional working team.
Structure ambiguous problems collaborating with business SMEs and across the larger Analytics & Insights community to help design pragmatic data products (dashboards, data science models, ad-hoc analyses) that create tangible impact for business teams.
Influence adoption of insights to support data-informed decisions
Communicate technical insights & methodology from analytics & data science projects to business partners at various levels in the organization that enables understanding and drives actionability.
Provide critical thinking and analytics subject matter expertise in stakeholder engagements
Lead discussions with business partners to define business questions and recommend appropriate methods to address business questions; translate unstructured strategic questions into structured analysis plan
Partner with other Data Science, and Technology teams to implement analytic insights and recommendations into business processes (e.g., automation of new KPIs, user acceptance testing for additional data feeds)
Extract data from various databases; perform exploratory data analyses, cleaning & aggregating insights. Employ scaling & automation to data preparation techniques
Introduce incremental improvements to data analysis, visualization, and presentation techniques to communicate discoveries
Research relevant emerging empirical methods and quantitative tools
Possess in-depth business knowledge to initiate and drive discussions with business partners to identify business issues needing analytic solutions
Establish brand and team as subject matter experts in advanced analytics across departments
Mentor junior data scientists in pioneering techniques and business acumen
Summary of Experience
Minimum 3 years experince within data analysis field or discipline
Basic Qualifications
Education: BA/BS w/ concentration in business or quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar; Masters preferred
Required Knowledge, Skills and Abilities
Demonstrated experience with analytical methods, business process analysis & analytics enablement
High proficiency in developing key metrics for driving & maintaining healthy business performance
Strong problem solving skills with ability to influence leadership teams at different levels
Working knowledge of data systems design & data technologies
Some knowledge of statistics & scripting (SQL, Python or R)
Ability to handle, and maintain the confidentiality of, highly sensitive information.
Demonstrated experience with communication tools (PowerPoint, virtual collaboration spaces)
Business experience with several data visualization tools (e.g., Tableau)
Retail, customer loyalty, marketing or eCommerce experience preferred
Starbucks and its brands are an equal opportunity employer of all qualified individuals.
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at 206-318-0660 or via email at [email protected]
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Senior Data Scientist | New Relic |
Your opportunity
Using Data Scientist principles, help build Data Web Applications that power the Growth, GTM, Product, and Sales teams at NewRelic. We seek Data Scientists who are passionate about building web-based data products that will enable the entire company to consume actionable insights.
We are a fast-growing Data Engineering & Technology team building an “internal-facing data product” with a bold, ambitious vision to build the core data foundation needed to run a successful consumption business. We build core data products, promote data-driven culture, democratize insights through self-service, and establish a single source of truth in business and customer metrics.
Opportunity to work from a remote office may be available depending on applicant location.
What you'll do
Mine and analyze data from the EDW (Enterprise Data Warehouse) and other data sources in the organization to build CFS (Central Feature Store) as a foundation to support multiple DS use cases. Work with internal customers and data engineers to build and deploy Data Science models to support business use cases of customer acquisition, cross-sell/upsell, and customer retention. Work with Statistical computer languages Python, SQL, and libraries (NumPy, Pandas) to manipulate data and draw insights from large data sets
This role requires
BS/MS degree in Computer Science or PhD in Statistics, Mathematics, Data ScienceThree plus years of experience as a Data ScientistHands-on working with Python and SQL.Demonstrated ability in using numerical and machine learning libraries (NumPy, Pandas, sci-kit-learn, Tensorflow, etc.)Strong experience with the open-source and AWS Cloud ecosystem (experience with EMR, EKS, Snowflake, S3, SageMaker, and abacus.ai)Learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning, and Reinforcement Learning.
Bonus points if you have
Natural Language Processing/Machine Learning
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Senior Data Scientist | Paramount |
Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.
Overview & Responsibilities
Interest in applying machine learning e.g., supervised methods like logistic regression, SVMs, random forests, deep learning & reinforcement learning, to existing products and services to improve their effectiveness and the overall user experience across our digital properties. Leverage datasets like traffic/video/consumption data from Adobe Analytics clickStream, purchase/subscription data, audience data from syndicated audience measurement services (comScore/ Nielsen), and Ad revenue data from Doubleclick, to model, analyze and predict user behavior. Utilize various statistical measures (mean, median, variance, etc.), distributions (uniform, normal, binomial, Poisson, etc.) and analysis methods (ANOVA, hypothesis testing, etc.) to build and validate models from observed data.
Responsibilities
Build and implement production machine learning systems
Maintain the health of Machine Learning systems (speed, reliability, performance)
Develop internal Machine Learning frameworks and abstractions to facilitate common tasks such as training/testing, feature use/reuse/creation/storage, and deployment. These abstractions are used by both Machine Learning engineers and Data Scientists/BI
Design machine learning systems
Develop Data Science solutions to measure and forecast the impact of content, marketing, and product initiatives in driving subscriber growth
Design Machine Learning systems to scale science solutions across a complex global ecosystem of streaming services and content
Build forecasting and causal models to optimize channel- and title-level media spend
Inform the optimal deployment of Paramount+ capital and resources through data-driven recommendations
Maintain the health of machine learning systems, including speed, model accuracy, reliability, and performance
Document, train, and mentor members of the Data and BI teams on ML concepts and principles, and how they can be applied to solve day-to-day business needs
Work on models such as Media Mix Models, LTV Forecasting, Subscriber Propensity Models, Content Valuation & Forecasting, and “Green Light” Models.
Build a user-level data management platform that serves as the central data hub allowing Machine Learning software components to “plug in” and segment users, predict future purchase behavior, identify users at risk of churning, and personalize their online experiences
Use look-alike modeling derived from Adobe Analytics clickStream-sourced behavioral data to build more significant audience segments from smaller segments to create targeted “reach” for advertisers.
Contribute to device/user graph/CDP that accounts for multi-platform access and pan-visit user behavior.
Incorporate “anomaly detection” across KPIs, metrics, and datasets to proactively find data issues, data load problems, and failures with minimal human supervision
Basic Qualifications:
4+ years of experience in Data Science and ML Engineering
BS, MS or Ph.D in Statistics/Data Science/Computer Science or related disciplines with specialization in data mining or machine learning techniques
Knowledge of both supervised and unsupervised machine learning techniques
Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products
The ability to write robust code in Python and leverage associated machine learning packages
Experience using Jupyter Notebooks
Familiarity with a breadth of statistical models and methods (i.e., causal methods, tree-based algorithms, time series analysis, regression analysis, experimental design, hypothesis testing)
Communicate concisely and persuasively with engineers and product managers
Strong detail orientation with a penchant for data accuracy and good grammar
Familiar with version control systems (Git, BitBucket)
Additional Qualifications
Familiarity with Hadoop pipelines using Spark, Kafka.
Familiarity with Graph Databases (Neo4J)
Proficiency in big data modeling work in warehouse solutions such as BigQuery
Experience using Atlassian project management tools (JIRA, Confluence)
Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs)
Ability to wrangle data using SQL, Pandas, MongoDB
Background in NLP or text mining techniques
Background in deep learning and Tensorflow
#LI-FV 32607
#LI-REMOTE
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [email protected]. Only messages left for this purpose will be returned.
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Senior Data Scientist Ads Analytics | Reddit |
We are looking for a Data Scientist to work with our Ads Formats product team. You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product decision and strategy. In addition to strong analytical skills, you will have an interest in data quality and collaborating with engineers to ensure we have the data we need to assess product performance.
How You’ll Have Impact:
Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.
We have spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets.
As a data scientist on the ads data team you’ll be a key player in ensuring we make the right product decisions based on data insights, play with the large data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and thousands of advertisers.
What You’ll Learn:
You will partner closely with our Ads Product and Engineering team, which is the core driver of revenue for the company. You’ll play a key role in developing Ads product strategy and experiments. You’ll play with petabytes of data full of user and advertiser interactions to develop a deeper understanding of Reddit’s ads ecosystem.
In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.
What You’ll Do:
Analyze conversations and behaviors across Reddit's 10,000 interest-based communities, and convert them into insights and product recommendations.
Understand Reddit advertising and help the company improve Ads Revenue while simultaneously improving ROAS (Return on Ads Spend) for advertisers.
Conduct product/feature analyses, opportunity sizing, experimentation (A/B testing) and build dashboards/visualizations to assess product health.
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the Ads Organization.
Collaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, Data Engineers and Data Warehouse Engineers to lead projects related to organizing and analyzing data.
Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.
Who You Might Be:
2+ years of experience in data analytics or related quantitative role
Demonstrated ability to influence and guide product strategy with data
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Experience in online advertising
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Senior Data Scientist | Disney |
Job Summary:
The Team:
Disney Media and Entertainment Distribution’s mission (DMED) is to delight consumers around the world with the entertainment and sports content they want most, with more choice, personalization, and convenience than ever before.Comprised of Disney’s International media businesses and the Company’s streaming and linear services, the DMED Engineering segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world.DMED is responsible for The Walt Disney Company’s direct-to-consumer businesses globally, including the ESPN+ sports streaming service, programmed in conjunction with ESPN; Disney+, the Disney-branded direct-to-consumer streaming service; global advertising sales and ad technology for all of Disney’s media properties, including ABC, ESPN, Freeform, FX Networks, National Geographic and the Disney Channels; HotStar, the leading over-the-top streaming service in India; and the Company’s majority ownership stake in Hulu.
Job Overview :
We are looking for a Senior Data Scientist to join our newly created Data & Intelligence team in the DMED Technology’s Content Platforms group.The data scientist will join a team of engineers and product managers to deliver the world’s most innovative, automated, and technologically advanced content platform through the integration of predictive models and analytical insight.The core contributions of the Senior Data Scientist will consist of technically define problems gathered from stakeholders, define experimentation setups, research data driven solutions to the problems identified, provide technical mentorship to other data scientists and communicate results to stakeholders.
Responsibilities :
Serve as a technical and leadership mentor to the team. Encourage and set the example for collaboration across functions. Forge solid relationships with peers in other disciplines.Design and implement models and methodologies on variety of datasets to achieve operational excellence and personalization efforts for our digital product lineupMake strategic recommendations on data collection, integration and retention incorporating business requirements and knowledge of best practices.Become and stay an expert in current and emerging technologies and tools.
Basic Qualifications :
Proven excellence in leading and contributing to Data Science projects in a commercial settingProven track (patents, publications) of pushing state of the art in the data science / machine learning space.Strong communication, interpersonal skills and fortitude to get stuff doneExperience in leading discovery processes with stakeholders to identify the business requirements and the expected outcomeCapability to educate the organization both from technical and the business perspectives on new approaches, such as testing hypotheses and statistical validation of resultsProven experience providing technical mentorship to junior team membersDemonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research Comfortable working in a team environment using Agile methodologiesExpert level in machine learning architecture and model development, ideally contributing to one of the main machine learning frameworks.Up to date knowledge on PyTorch and packages in its ecosystem (3+ years)Strong working knowledge of statistical frameworks (Pandas, NumPy/SciPy, scikit-learn) (5+ years)Strong working knowledge of machine learning frameworks (PyTorch, TensorFlow) (5+ years)Mastery in at least one high-level programming language such as Python or Scala (7+ years)Expert level in advanced analytic and statistical modelingExperience monitoring the full life cycle of modelsMastery in SQL and experience with NoSQL databasesExperience with human-in-the-loop machine learning solutionsExperience with cloud platforms such as AWS, Google Cloud, AzureExperience with DockerExperience with ETL pipelines
Preferred Qualifications :
Experience with distributed processing relevant technologies like Kafka and HadoopExperience crafting visualization toolsMedia Industry experience
Required Education :
M.S. degree in the fields of Economics, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields
Preferred Education :
Ph.D. in the fields of Economics, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields
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Data Scientist Machine Learning | Credit Sesame |
Credit Sesame is the only platform that helps consumers achieve financial wellness by allowing them to manage and grow their credit and cash in one place, for free. We have created a whole new market category in financial services that sits at the intersection of a credit market place and credit builder digital banking services. Our purpose is clear, to make financial inclusion and wellness a reality for everyone.
We’re seeking a highly motivated Data Scientist to join our team and build predictive models that impact credit-related decisions made by millions of members. This person will be responsible for developing, productionizing, maintaining, and monitoring ML models affecting all components of our business.
You'll...
Join a centralized Data Science team that is part of our larger Engineering org;
Use Python and SQL to develop machine learning models whose predictions drive many key aspects of our business, ranging from deciding which email to send to which user on each day, to product recommendations at scale on our web and app platforms, to forecasting and anomaly detection systems;
Work closely with our Data Engineering and MLOps teams to deploy these models across our Mobile App, Desktop, and Mobile Web platforms;
Collaborate with the Analytics team to design and analyze experiments which test the performance of our models;
Build parameterized dashboards (in Looker) to monitor both machine learning performance metrics and funnel metrics important to the business;
Initiate and lead new modeling projects as well as support initiatives spearheaded by the Product team;
Design and implement efficient pipelines both for model maintenance and for model deployment;
Pitch your ideas and present your results to stakeholders including our CRM (customer relationship management), Product, and Marketing teams.
You're a great fit for our team because...
You are strongly self-motivated, have a mindset of getting things done, are willing to pick up new skills as needed, and iterate quickly as appropriate;
You can communicate clearly and confidently to technical as well as non-technical audiences;
You have knowledge of machine learning packages (scikit-learn, XGBoost, etc.) and algorithms (logistic regression, random forest classifier, gradient boosting regressor, etc.);
You have knowledge of Python visualization libraries such as Matplotlib and Seaborn; knowledge of Plotly, Altair, and others is a plus;
You have experience translating machine learning predictions into actionable recommendations for solving practical business problems;
You have strong proficiency in writing correct and efficient SQL queries;
You are proficient at programming in Python, and at using Git (any other programming skills are a plus!);
You have 2+ years of relevant experience, or a similar mix of experience and education in a quantitative field;
You have knowledge of statistics and experiment design;
You are comfortable with being process-driven like an engineer, and purpose-driven like a business manager;
You can juggle multiple tasks in a fast-paced environment;
You can work in a cross-functional team and manage multiple stakeholders;
You can balance short-, medium-, and long-term objectives and successfully deliver on all fronts;
You want to work, excel, and grow in a diverse, challenging, and highly collaborative environment.
(Pluses) You have experience:
Building machine learning models that were deployed as a service, with predictions being made in real time;
Solving constrained optimization problems by leveraging business rules alongside machine learning models;
Optimizing multi-step conversion funnels, spanning from impressions to clicks and ultimately to conversions;
Building production-grade models for ranking content displayed to users;
Developing models that optimize for business outcomes (e.g., revenue) without resorting to localized, greedy optimization (e.g., maximize short term revenue without regard for long term effects);
Formulating and building models to predict customers’ Lifetime Value (LTV);
Predicting customer churn and/or retention.
You'll love it here because...
you‘ll have huge potential to grow with a company that’s a category leader;
you’ll have equity in a pre-IPO company backed by top VCs;
we offer comprehensive medical, dental, and vision insurance;
we offer monthly phone and internet reimbursement;
we prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony.
We're open to hiring remotely in both the US and Canada for this role. We also have offices located in Mountain View, San Francisco, and Toronto.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
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Data Scientist | Liberty Mutual |
Advance your Data Science career at Liberty Mutual Insurance- A Fortune 100 Company!
Our Product Design and Modeling team is growing and is searching for passionate Data Scientists at multiple levels to join our team. These are incredible opportunities to leverage and hone your data science skills and to help build models, design new products and drive pricing sophistication. You will use machine learning, predictive analytic techniques, and languages/software such as SAS and Python. These roles work collaboratively across Product Design and Modeling on a Global scale.
Responsibilities:
Develop expertise in products requiring price segmentation and in available analytic data.
Support the evaluation of profitability, growth, and product design
Where appropriate, build loss cost, loss ratio, and/or non-pricing models of moderate complexity across lines of business, and more complex models under general direction
Explore and utilize advanced modeling techniques (e.g., machine learning techniques such as Elastic Nets)
Recommend and execute proposals for meaningful improvement
Evaluate and recommend pricing on optional coverages
Collaborate with Delivery and Economics teams to help implement revised pricing
Potential for up to 10% travel
Remote work available
Job Specifications:
Reference: 2022-48901
Category: Data Science
Primary Location: Remote
Additional Locations:
Schedule: Full-Time
Salary: USD-$87,900.00-–-$161,600.00-/-Year
Education Level:
Travel: As Needed
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Senior Data Science Manager | Dropbox |
Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.
The Data Science team is a central function that seeks to leverage data to help make better business decisions. This team leverages various data sources and quantitative techniques to synthesize narratives around how our customers use our products and develop critical insights and actionable recommendations for our business.
We are looking for a talented senior manager to lead a team of data scientists to answer critical questions about growing our revenue, transforming our business, and understanding the impact of our initiatives. In addition, you will collaborate with cross-functional leaders to develop a deeper understanding of our users to build the right product to meet their needs and achieve business objectives.
You will prioritize and align key analytics projects for your team and communicate quantitative insights and narratives broadly across all levels of the organization. You will also have the unique opportunity to define what data science means at Dropbox, influencing teams across the company to understand better how they can leverage information and insights to achieve their ambitious goals. Moreover, you will get the opportunity to lead a fantastic team of talented, curious, passionate data scientists to shape the future of our business.
Responsibilities
Build and manage a high performing team of data scientistsCoach and mentor data scientists of varying experiences to ensure their continued growth Plan, execute, and complete mission-critical data science projects and provide technical leadership in a fast-paced environmentProvide quantitative insights and perform analytical deep-dives to proactively identify growth opportunities and inform future learning, product experimentations, and product roadmaps Steer the team in creating ML models to enhance our product experience, including a personalized onboarding experienceIdentify key metrics and create automated dashboards to monitor and report on the health of the businessSimplify complex concepts to a broad audience, leaning on excellent communication skills, both verbal and writtenCollaborate with cross-functional teams, including Product, Engineering, Design, Marketing, and Research, to execute against our roadmap quickly and iterativelyUnderstand what matters most and prioritize ruthlessly
Requirements
Bachelor’s degree in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field5+ years of industry experience as a data scientist3+ years of experience directly managing data scientists, quantitative researchers, or product analystsAbility to lead a high-performing team and inspire others Ability to influence prioritization and execution of high visibility projects that affect customer experience as well as monetizationExperience analyzing large datasets and using data to inform product and business decisions that led to measurable outcomesExceptional verbal and written communication skillsComfortable with SQL and large datasets, strong understanding of statistics, experimentation, and modeling
Total Rewards
For candidates hired in Colorado, the expected salary/On-Target Earnings (OTE) range for the role is $165,100 - $194,200 - $223,300.
This salary/OTE range represents the low, middle, and high end of the salary or OTE (Sales roles) range for this position, and is subject to change. To determine a Dropboxer’s starting pay we carefully consider a variety of factors, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal parity. This position may be considered a promotional opportunity.
Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to:
Competitive medical, dental and vision coverage(US Only) Competitive 401(k) Plan with a generous company match and immediate vestingFlexible Time Off/Paid Time Off, paid holidays, 11 Company-wide PTO days, Volunteer time off and moreProtection Plans including; Life Insurance, Disability Insurance and Travel benefit plansPerks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food & groceries, and much moreParental benefits including; Parental Leave, Child and Adult Care, Day Care FSA (US Only), Fertility Benefits (US Only), Adoption and Surrogacy support and Lactation Support Mental Health and Wellness benefits Free Dropbox space for your friends and family
Additional benefits details are available upon request.
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
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Data Scientist | Taskrabbit |
TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.
TaskRabbit is a remote-first company with employees distributed across the USA!
Builtin's "Best Places To Work", 5 lists including: Austin Best Midsize Companies to Work For & SF Best Places to Work!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020
About the Job
Data and analytics are the lifeblood of TaskRabbit and we are building a data science team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning and Data Engineering. We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a data scientist focusing on growth, you will work closely with a cross functional team of product managers, marketing managers, designers, and engineers. You will apply various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties. You will assist defining metrics and KPIs, design experiments to validate hypotheses and translate data into insights that would improve product, marketing and operational metrics.
As part of the Data Group, you will collaborate with other Data Scientists, drawing on their technical skills and expertise. Also, you will work with Data Engineers to ensure that the data platform and infrastructure provides you with the data and tools you need to do your job.
Join us in creating a better everyday life for everyday people.
Responsibilities:
Understand the business goals, ask right questions, define metrics, analyze patterns and trends, extract key findings, evaluate feasibility with available data, develop solutions, and communicate the results back to business
Identify growth opportunities based on data and provide well organized analysis for open ended questions
Evaluate the impact of new features, conduct controlled experiments and provide advanced data analysis using statistical modeling techniques such as regression, classification, time series modeling, causal inference and clustering.
Help stakeholders make better business decisions with insights and actionable recommendations
Become a subject-matter expert on marketplace and supply/demand dynamics
Qualifications:
We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.
BS or above in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field
3+ years experience in a data science role or equivalent
Strong experience with SQL
Knowledgeable in Python programming
Experience in solving business real world business problems with predictive and statistical learning methods
Excellent statistical intuition and knowledge of various approaches such as causal inference, hypothesis testing, sampling
Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences
Experience with CDP, DBT, Looker, Tableau, or similar tool is a plus
Bonus Points
Agile. Intelligent. Creative. Problem-solver. Startup lover. You like making things happen.
We're looking for people that have a passion for data, technology and problem solving
You're familiar with our product and have some ideas on things you'd want to add or change!
About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.
You’ll love working here because:
TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 50% women
Director Level 86% Diverse
The Values.
Care Deeply. We take time to be present and partner with our team and communities.
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.
Lead The Future Together. We value entrepreneurship and are inspire by action.
The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.
The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching, generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office.
Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
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Data Scientist Machine Learning | Credit Sesame |
Credit Sesame is the only platform that helps consumers achieve financial wellness by allowing them to manage and grow their credit and cash in one place, for free. We have created a whole new market category in financial services that sits at the intersection of a credit market place and credit builder digital banking services. Our purpose is clear, to make financial inclusion and wellness a reality for everyone.
We’re seeking a highly motivated Data Scientist to join our team and build predictive models that impact credit-related decisions made by millions of members. This person will be responsible for developing, productionizing, maintaining, and monitoring ML models affecting all components of our business.
You'll...
Join a centralized Data Science team that is part of our larger Engineering org;
Use Python and SQL to develop machine learning models whose predictions drive many key aspects of our business, ranging from deciding which email to send to which user on each day, to product recommendations at scale on our web and app platforms, to forecasting and anomaly detection systems;
Work closely with our Data Engineering and MLOps teams to deploy these models across our Mobile App, Desktop, and Mobile Web platforms;
Collaborate with the Analytics team to design and analyze experiments which test the performance of our models;
Build parameterized dashboards (in Looker) to monitor both machine learning performance metrics and funnel metrics important to the business;
Initiate and lead new modeling projects as well as support initiatives spearheaded by the Product team;
Design and implement efficient pipelines both for model maintenance and for model deployment;
Pitch your ideas and present your results to stakeholders including our CRM (customer relationship management), Product, and Marketing teams.
You're a great fit for our team because...
You are strongly self-motivated, have a mindset of getting things done, are willing to pick up new skills as needed, and iterate quickly as appropriate;
You can communicate clearly and confidently to technical as well as non-technical audiences;
You have knowledge of machine learning packages (scikit-learn, XGBoost, etc.) and algorithms (logistic regression, random forest classifier, gradient boosting regressor, etc.);
You have knowledge of Python visualization libraries such as Matplotlib and Seaborn; knowledge of Plotly, Altair, and others is a plus;
You have experience translating machine learning predictions into actionable recommendations for solving practical business problems;
You have strong proficiency in writing correct and efficient SQL queries;
You are proficient at programming in Python, and at using Git (any other programming skills are a plus!);
You have 2+ years of relevant experience, or a similar mix of experience and education in a quantitative field;
You have knowledge of statistics and experiment design;
You are comfortable with being process-driven like an engineer, and purpose-driven like a business manager;
You can juggle multiple tasks in a fast-paced environment;
You can work in a cross-functional team and manage multiple stakeholders;
You can balance short-, medium-, and long-term objectives and successfully deliver on all fronts;
You want to work, excel, and grow in a diverse, challenging, and highly collaborative environment.
(Pluses) You have experience:
Building machine learning models that were deployed as a service, with predictions being made in real time;
Solving constrained optimization problems by leveraging business rules alongside machine learning models;
Optimizing multi-step conversion funnels, spanning from impressions to clicks and ultimately to conversions;
Building production-grade models for ranking content displayed to users;
Developing models that optimize for business outcomes (e.g., revenue) without resorting to localized, greedy optimization (e.g., maximize short term revenue without regard for long term effects);
Formulating and building models to predict customers’ Lifetime Value (LTV);
Predicting customer churn and/or retention.
You'll love it here because...
you‘ll have huge potential to grow with a company that’s a category leader;
you’ll have equity in a pre-IPO company backed by top VCs;
we offer comprehensive medical, dental, and vision insurance;
we offer monthly phone and internet reimbursement;
we prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony.
We're open to hiring remotely in both the US and Canada for this role. We also have offices located in Mountain View, San Francisco, and Toronto.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
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Associate Director Analytics Data Science | Assembly |
We are an assembly of data, talent and technology.
Media Assembly and ForwardPMX have joined forces to form the new Assembly, a global marketing services company designed with the modern mixture of omnichannel media expertise, powered by data, technology and business consulting solutions that help the best brands on the planet find the change that fuels growth.
We’re not built like anyone or anything else. We’ve assembled a market-leading collection of data, talent and technology to deliver something that’s truly distinct and capable of driving transformation, change and growth to marketing leaders worldwide.
When you become part of Assembly, you become part of a global community of digitally-led experts – with 1,500 people in over 20 countries and 30 office locations around the world. We pride ourselves in our global thinking, matched by a specialized local approach that enables brands to understand, engage and move consumers anywhere they are.
We believe in a world where Purpose is on par with Profit, and as a modern business in a dynamic and influential space, we have a responsibility to use our position to impact meaningful change. It keeps us connected to each other and to the world around us, and we are here to make our mark.
Assembly is looking for an Associate Director, Analytics & Data Science.
Data drives strategy. Assembly’s Data Science & Analytics practice helps internal and client stakeholders take a scientific approach towards optimizing critical business and marketing decisions. Our forward thinking in Data Science & Analytics is a key differentiator that has contributed to Assembly’s recognition as Ad Age’s 2018 Media Agency of the Year. This position will work directly with a Fortune 50 leader in the healthcare space, with an innovative approach to omni channel media, measurement and analytics.
This role requires both strategic and tactical skill sets with an eye for numbers, intellectual curiosity, and high proficiency at problem solving with expertise in offline & online media. The candidate must have a proven track record in data-rich analyses and be a team player. A “roll up the sleeves” approach is mandatory and a “get it done” attitude is a must. Specific responsibilities include coordination between the strategy, planning, research, analytics & media teams ensuring high quality analytical projects are effectively delivered.
Successful candidates will be multidimensional strategic thinkers who can contextualize data effectively and turn numbers into actionable insights and are able to communicate these succinctly to a broad client and media stakeholder audience.
Requirements:
Minimum 5 years of experience in leading/performing analytics in marketing sciences capacity at a market research, consulting, media or retail firms
Minimum 1 year of management experience
Experience working with complex large-scale clients
Recommend appropriate analytic methodologies and be a subject-matter expert for advanced analytics techniques
Partner with internal channel & planning teams to own weekly, monthly and quarterly reports, trends, insights and recommendations
Conceptualize & refine analytics dashboards to improve the effectiveness of digital online and offline marketing programs
Design and enhance media planning optimization reports across all channels such as Search, Programmatic, Social, TV, and Digital Video platforms
Supervise and mentor members of the analytics team
Excellent communications skills
Strong presentation skills
Proven ability to develop a point of view, lead, and communicate complex, technical concepts to a broad audience
Define and execute new process improvement opportunities across automation, data collection, forecasting, and building dashboards
Experience in a cross-functional team environment
Media agency experience a big plus
Technical Skills:
Knowledge of media measurement
Ad serving platforms (e.g. DCM) and digital marketing metrics
Website analytics software (e.g. Adobe Analytics, Google Analytics)
Proficiency with visualization software (e.g. Tableau) and querying languages like SQL
Proficiency with statistical programming languages like R or Python
Familiarity with modeling techniques like logistic regression, random forests, etc. to be able to translate data science findings in a client-facing environment
Expertise in the digital marketing ecosystem
Strong analytical skills with solid foundation in statistical techniques
Ability to look at the bigger picture and translate data into strategy
At Assembly, we believe every career is as unique as the individual and empower employees to reach their full potential in a winning culture motivated by a powerful purpose.
Assembly is an advocate for equal opportunity in the workplace. We are committed to ensuring equal opportunities regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, gender identity, status as a protected veteran, among other things, or status as a qualified individual with disability. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. EEO Employer M/F/Vet/Disabled.
#LI-Remote
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Senior Data Scientist | Wish |
Company Description
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.
We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.
Job Description
At Wish, our Data Science & Engineering team is composed of Data Scientists, Data Analysts & Data Engineers who focus on centralizing corporate data in order to gain insights, knowledge and scalability, that empower a proactive and rigorous analysis of key business indicators. Our mission is to derive wisdom from data via the application of Data Science.
Wish has exciting opportunities for talented Data Scientists on our Buyer Side (Product) data science team. This is a unique opportunity to experiment with a 500 million strong consumer base that draws 100+ million MAU. Successful candidates will have extensive backgrounds in quantitative fields and significant experience with experiment design and execution at scale.
What you'll be doing:
Proactively develop insights and ML models to help us drive marketplace supply quality, diversity and merchant services.Improve our Wish Standards algorithm design to drive better merchant quality.Build the listing quality models to determine the content (title, description, image, video) policy and improve buyer experience.Lead the design, analysis, and interpretation of experiments that shape decision-making across the company.Translate the business problems as DS/ML problems and apply those in a large scale production environment.Become the supply data science tech lead to generate knowledge sharing, trainings and consultations for stakeholders, and model documentation.Mentor junior data scientists on how to use more advanced methods and solve business problems.
Qualifications
Ph.D./M.S. in a quantitative discipline (Computer Science, Statistics, Operations Research, Mathematics, etc.) with 3+ years of relevant work experience.Working knowledge in one or more areas among: Machine Learning – Classical methods / Deep Learning / Reinforcement Learning, Causal Inference, Statistics, Optimization, Scraping at scale.Expertise in Python, SQL, Airflow, Tableau, and strong coding experience and knowledge to make algorithms scale.Experience with leading data science projects from conception to production.Strong business acumen and able to communicate analysis with clarity and precision.Experience in driving marketplace supply insights and growth a plus.
Here at Wish, you are joining a team and company at a time of growth and transformation. You will love being surrounded by people who are as passionate as you are about e-commerce, technology, and a data-driven culture. Even if you don't meet 100% of the above, we encourage you to still apply!
Additional Information
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.
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Data Scientist Trust Safety | Wish |
Company Description
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.
We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.
Job Description
Wish has exciting opportunities for talented Data Scientists on our Trust & Safety Data Science team. This is a unique opportunity to conduct research, as well as develop and deploy Machine Learning models to address complex business questions such as fraud detection and anomaly detection at large scale.
Successful candidates will have extensive backgrounds in quantitative fields and significant experience with Machine Learning model development and deployment, as well as making impact with the end to end closed loop of data -> insights -> actions -> feedback.
In short, we are looking for people strong in: Machine learning theory and practice, data analytics and business acumen.
What you'll be doing:
Working closely with the Chief Compliance Officer to write anti-money laundering rules to safeguard our business against expensive regulatory escalations.Maintain and approve machine learning models in one or both of these areas: machine learning models to detect misleading / ambiguous product listings on Wish and/or models to detect malicious product editing on WishWorking closely with a third party vendor and/or in-house anomaly detection tools to find fraud attacks on a large scale to defend our platform against large losses of money and user trustYou will perform all aspects of data science in risk: data analytics, research, model development, deployment and monitoring - owning projects end to end, with concretely calculable impact. You identify the insights and data needed, and set priorities by the final impact. You understand the dual goals of the risk domain: fighting fraud and growing the business. You can clarify strategic and tactical objectives and prioritize tasks for yourself and the team. You proactively watch for signs of trouble, articulate with data, and craft hotfixes or long term solutions, depending on the situation and your judgement.You own foundational work that enables your direct colleagues as well as other teams. You enjoy managing stakeholders, multi-team projects, taking end-to-end responsibility and ownership over a project.
Qualifications
Energetic and flexible. We own the actions. We own the impact. We iterate fast because fraudsters do. You are a team role model for technical excellence and communication style. You will provide input to technical decisions and uplevel the team’s ML capabilities in one or more major areas (e.g. misleading content models or malicious product edit models).Theory and practice of Machine Learning. 1+ years of hands-on industrial experience on most ML/DL algorithms and big data technologies. System design and programming. 1+ years of hands-on industrial experience with ML system design and implementation. We productionize code ourselves, and we love it to be clean.
Preferred Qualifications:
Background in Payments, Risk or E-commerce strongly preferredProduct sense. You always start from business problems, not technical details. Communication. You enjoy managing stakeholders, complex multi-team projects management, taking end-to-end responsibility and ownership over a project. Education. Masters in computer science, data science, or a related quantitative field.Domain expertise. Previous experience in fraud detection and the unique challenges applying ML in this area.
Here at Wish, you are joining a team and company at a time of growth and transformation. You will love being surrounded by people who are as passionate as you are about e-commerce, technology, and a data-driven culture. Even if you don't meet 100% of the above, we encourage you to still apply!
Additional Information
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.
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Data Scientist | Best Egg |
Best Egg is a consumer financial technology platform that aims to help people feel more confident about their everyday finances through a suite of products and resources. Our digital financial platform offers simple, accessible, and personalized financial solutions including personal loans, credit cards, and a financial health resource center.
Our culture and values are one of the core reasons why our customers keep returning to Best Egg. We are committed to championing a culture of inclusiveness and diversity of thought, and we focus on providing a safe, flexible, and collaborative work environment. Our associates are encouraged to engage in creative problem solving, and we promote opportunities for growth and enrichment across the organization.
If you are inspired by inspiring others, Best Egg is the place for you.
Best Egg celebrates diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we will grow.
At Marlette we believe everybody should have the opportunity to enjoy life. As a fast growing fintech, we are on a mission to help our customers gain easy access to funds and reach their financial goals. Our Best Egg personal loan product has an impeccable record and stands out in the industry with its strong value proposition and overwhelmingly positive customer reviews.
Data is at the heart of everything we do. Join a Data Science team working at the cutting edge within our industry and constantly advancing our ML practice. Our Data Science team is dedicated to creating machine-learning models that power innovation and creative insights that pioneer new products and help our business reach the next level. We work on diverse projects across all business units within the company and have a direct engagement model between data scientists and business stakeholders.
Join a collaborative group of Data Scientists skilled in predictive analytics and help them to deploy and monitor real-time production-grade models in projects spanning the business from credit risk, direct marketing targeting, fraud operations, and many more! Enjoy the stability of a profitable, award winning fintech and challenge yourself with plenty of growth and upward mobility within a data rich environment. Be a part of a growing team using the latest tools and technologies to disrupt the industry and empower our customers to reach their financial goals.
Duties & Responsibilities
Partner with various business units to develop machine-learning models to optimize targeting / underwriting / pricing / customer services / fraud and verification strategies.
Collaborate with business stakeholders to identify risks and opportunities using data and machine-learning models.
Take ownership of a rich library of machine learning tools and enjoy authority to continue to research efficient and effective strategies.
Access a deep set of application, bureau, web, and alternative data to gain insights and convert these insights into actionable strategies and models.
Play with end-to-end machine learning pipelines including data extraction, feature engineering, model building, performance evaluation and implementation.
From time to time, be involved in search of relevant big data and in assessing 3rd party vendor’s capabilities.
Enjoy a culture rich in learning and frequent small wins, our Data Science team is small and contributes insights to decisions made across the entire business.
Requirements
You should have a Master or PhD in quantitative fields, preferably Math, Physics, Engineering, Computer Science or Data Science.
3-5 years (or more) experience.
You should have a solid foundational understanding and experience of the technical aspects of Data Science – statistics, machine-learning techniques and big data query/manipulation (structured and un-structured), be familiar with at least one of the machine learning languages. Knowledge in Amazon Sagemaker is a plus
Experience in at least one of the following is required: supervised machine learning, adaptive models, web scraping, deep learning, chatbot, NLP, recommender system, network graph, credit risk, marketing mix/attribution, time series modeling or image processing.
Able to communicate with business partners for modeling needs, sample design and planning.
Self-motivated and high creativity in problem solving; ability to present models to business stakeholders in an easy-to-understand format.
Freestyle thinker; Ability to work in a fast-paced and fast-changing environment.
Enjoy a culture rich in direct communication, no politics, continual learning where we celebrate success and have fun too.
Our Brand:
At Best Egg, we believe money should be accessible so people can reach their goals, live a fuller life, and feel pride in knowing they have taken control of their finances. For those who need extra money to achieve the progress they seek in life, Best Egg is the modern solution-minded finance provider that mixes decades of banking experience with smart technology and deep customer insight to create products designed for today’s borrower, so that people can establish a smoother financial path. The egg symbolizes protection and a fresh start.
Employee Benefits
Best Egg offers many additional benefits for our employees, including (but not limited to):
· Pre-tax and post-tax retirement savings plans with a competitive company matching
program
· Generous paid time-off plans including vacation, personal/sick time, paid short--
term and long-term disability leaves, paid parental leave, and paid company
holidays
· Multiple health care plans to choose from, including dental and vision options
· Flexible Spending Plans for Health Care, Dependent Care, and Health
Reimbursement Accounts
· Company-paid benefits such as life insurance, wellness platforms, employee
assistance programs, and Health Advocate programs
· Other great discounted benefits include identity theft protection, pet insurance,
fitness center reimbursements, and many more!
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Data Science Manager Consumer Products | Udemy |
While the ideal location is San Francisco, we are also able to hire remotely.
Udemy is looking for a Data Science Manager for our growing Consumer Product Decision Science team. This team is a critical partner to the company’s product teams working on optimizing consumer engagement to grow the business by delivering the right value to its customers.
Our Consumer Product Decision Science team relies on quantitative methods and business intuition, and utilize a combination of modeling, experimentation, and causal inference methods to drive the product development process at Udemy.
Here Are Some Questions You Could Be Working On:
How do we incentivize instructors to produce new content types and learning experiences for our subscription product?
What user attributes and behaviors drive trial activation and renewals?
How do we assess the impact of the native mobile experience on learner engagement and retention?
How do we measure the overall health of the mobile experience for learners and instructors?
Here Is What You Will Be Doing:
Be a subject matter expert and thought leader in the domain
Partner with cross-functional leaders to shape the team’s roadmap and drive execution
Manage the day-to-day operations of the Consumer Product Decision Science team
Provide both technical and strategic guidance to team members
Design and analyze randomized controlled experiments and conduct ad hoc analyses
Define metrics and build dashboards to track the health of the product.
Proactively influence prioritization through data-driven insights
Effectively communicate and present to both technical and non-technical audiences.
Build Udemy’s technical brand through talks, blog posts, and publications
We Are Excited About You Because You Have:
6+ years of relevant experience (or 4+ years with post-graduate education such as MS or PhD.) and a background in statistical/ML modeling, optimization, causal inference/econometrics, and experimental design.
Ability to communicate effectively with non-technical stakeholders.
Strong business and product intuition as well as judgment.
Strong data storytelling and data visualization ability.
Strong SQL ability and proficiency with 1+ programming languages (Python strongly preferred).
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously and has a strong interest to take ownership and lead while effectively partnering with stakeholders.
Nice To Haves:
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
People leadership experience
Minimum Salary Expectations: $192,000
About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors. Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential. For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world. UB has more than 10,000 customers and serves the majority of the Fortune 100.
We are proud to be recognized for our world class employee experience:
Udemy Adds More than $1 Billion To Its Valuation in New Funding Round
Udemy’s Workplace Learning Tool Just Surpassed $100M in ARR
Paid Paternity Leave Should be the Norm in the U.S.
Breakdown of Most In-Demand Skills for 2020—Finance, Marketing, Sales and Engineering
How Investing in Yourself Today Will Set You Up for Career Success Tomorrow
Feedback Isn’t the Problem, but the Way That We Deliver It Is Broken
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
Udemy Benefits:
Eligibility: Regular, full-time employees are eligible for Udemy’s benefit programs.
Health Plans: Medical, dental, and vision coverage (100% coverage for employee-only).
HSA/FSA/Commuter: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.
Life/Disability: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.
Retirement: Access to 401(k) with annual employer contribution.
Wellbeing: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.
Education: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.
Charitable Matching Program: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.
Vacation: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.
Parental Leave: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.
Holidays: 10 paid holidays throughout the year
#LI-HC1
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Senior Data Scientist Insights Udemy Business | Udemy |
About UdemyUdemy is the world’s largest education platform with more than 30 million monthly visitors. Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential. For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world. UB has more than 10,000 customers and serves the majority of the Fortune 100.
In the Data organization at Udemy, we’re passionate about transforming the future of education using data! We’re looking for fun, collaborative, self-motivated data scientists with an insatiable sense of curiosity and a knack for asking the right questions. The ideal candidate is an analytically creative thinker who is unafraid of ambiguity, has a track record of tackling difficult technical challenges, and has a pragmatic and relentless focus on driving meaningful business impact. We believe in building diverse teams, collaborative teams in which each person brings unique skills, knowledge, and experience to the table. If this opportunity sounds exciting to you, then read on!
At Udemy, data scientists generally belong to one of three career tracks:
Insights: Focused on analytics, data visualization, A/B testing, and stakeholder partnership.
Inference: Focused on causal or statistical inference for interpretation of data.
Algorithms: Focused on machine learning and building production data products.
Specifically, Udemy Business is a SaaS offering that provides employees of companies with access to a specially curated collection of business-relevant and technical courses delivered through the Udemy platform. In this role, you will collaborate with product managers, marketers, designers, and engineers to guide product decision-making through a combination of metrics and reporting, data analysis, data visualization, and experimentation design. You will serve as a subject matter expert, especially while working with other data scientists and act as a data evangelist to create a data-driven culture across the company. Success in this role requires a combination of business intuition, practical data analysis experience, experimentation acumen, and strong communication and collaboration skills.
Relevant questions
What are the right metrics for measuring the employee learning experience for Udemy’s enterprise product?
What dashboards and tools can Udemy build to provide actionable insights for enterprise clients?
How should we measure the impact of new feature launches for the enterprise product?
How can the Udemy Business product drive outcomes for business clients?
Responsibilities
Influence prioritization and key business decisions through data-driven insights
Serve as a subject matter expert and help drive the data science roadmap in your business or product domain
Define metrics and build operational dashboards to track business and product health
Design and analyze randomized controlled experiments
Develop robust data pipelines and continuously improve the quality and accessibility of data
Build Udemy’s technical brand through talks, blog posts, and publications
Provide mentorship for junior team members
Take responsibility for leading major team initiatives
Qualifications
7+ years of relevant hands-on experience in product or business analytics roles
Demonstrated track record leading major team projects in prior roles
Ability to communicate effectively with both technical and non-technical stakeholders
Strong business intuition and judgment
Exceptional data storytelling and data visualization ability
Broad knowledge of applied statistics and experimental design
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Experience building automated big data pipelines using tools like Spark, Airflow, and dbt.
Ability and willingness to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
Locations
Boston, MA (preferred)
Remote (East Coast), US
Dublin, Ireland
We are proud to be recognized for our world class employee experience:Business Insider SF: Best Places to Work Bay AreaBuilt In Colorado: Best Places to WorkBest Workplaces (Great Place to Work List): #1 in Turkey #5 IrelandCertified Best Place to Work: Dublin for WomenFortune: Change the World Company
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
Information regarding data privacy is available within theUdemy Careers Privacy Notice.
#LI-ST1
#LI-hybrid
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Senior Data Scientist Insights Consumer Products | Udemy |
While the ideal location is San Francisco, we are also able to hire remotely.
About the Role
As a leading destination for learning and teaching online, Udemy strives to create new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. Udemy is looking for data scientists with a combination of quantitative skills- and business intuition to find actionable insights that drive key business decisions.
As a Data Scientist at Udemy, you will be partnering with business leaders, product managers, marketers, designers, and engineers to identify, scope, and execute data-driven analyses to drive business impact. You will serve as a subject matter expert, especially while working with other data scientists and act as a data evangelist to create a data-driven culture across the company. Success in this role requires a combination of business intuition, practical data analysis experience, experimentation acumen, and strong communication and collaboration skills.
Here Are Some Questions You Could Be Working On:
How do we incentivize instructors to produce new content types and learning experiences for our subscription product?
What user attributes and behaviors drive trial activation and renewals?
Here Is What You Will Be Doing:
Collaborate with stakeholders to inform business decisions
Serve as a subject matter expert and thought leader in your domain and help drive the data science roadmap
Effectively communicate and present to both technical and non-technical audiences
Design and analyze randomized controlled experiments and conduct ad hoc analyses
Define metrics and build dashboards to track health of your specific domain.
Develop robust data pipelines and continuously improve the quality and accessibility of data
Proactively influence prioritization through data-driven insights
Develop end-to-end modeling solutions
Build Udemy’s technical brand through talks, blog posts, and publications
We Are Excited About You Because You Have:
At least 2 years of industry experience
Ability to communicate effectively with non-technical stakeholders
Strong business intu
ition and judgment
Exceptional data storytelling and data visualization ability
Broad knowledge of applied statistics, experimental design, and causal inference
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
We Are More Excited About You Because You Have:
5+ years of relevant industry experience
Experience with machine learning and causal inference
Familiarity with standard software engineering practices (e.g., Scrum)
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
Minimum Salary: $115,000
About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors. Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential. For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world. UB has more than 10,000 customers and serves the majority of the Fortune 100.
We are proud to be recognized for our world class employee experience:
Udemy Adds More than $1 Billion To Its Valuation in New Funding Round
Udemy’s Workplace Learning Tool Just Surpassed $100M in ARR
Paid Paternity Leave Should be the Norm in the U.S.
Breakdown of Most In-Demand Skills for 2020—Finance, Marketing, Sales and Engineering
How Investing in Yourself Today Will Set You Up for Career Success Tomorrow
Feedback Isn’t the Problem, but the Way That We Deliver It Is Broken
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
Udemy Benefits:
Eligibility: Regular, full-time employees are eligible for Udemy’s benefit programs.
Health Plans: Medical, dental, and vision coverage (100% coverage for employee-only).
HSA/FSA/Commuter: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.
Life/Disability: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.
Retirement: Access to 401(k) with annual employer contribution.
Wellbeing: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.
Education: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.
Charitable Matching Program: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.
Vacation: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.
Parental Leave: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.
Holidays: 10 paid holidays throughout the year
#LI-SR1
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Staff Research Scientist | Upstart |
The Team
Upstart’s Machine Learning team has a direct impact on our company's success. The team consists of Research Scientists, Data Scientists, ML Engineers and other highly specialized roles. As a whole, the Machine Learning team builds, enables and evaluates our core production models.
Because our challenges are so new, members of our Machine Learning team need strong creative problem-solving skills and the technical background to implement solutions. Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems. Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big ideas to move our business forward.
The Role
As a Staff Research Scientist with Upstart, you'll enjoy a fast-paced environment with a focus on productionalizing, deploying and training machine learning models. You’ll also have an opportunity to work alongside a talented team that values curiosity, humility, drive and teamwork.
Position Location - This role is available in the following locations: Columbus, Austin or Remote (#LI-REMOTE)
Time Zone Requirements - This team operates on either the East or West Coast time zones.
Travel Requirements - This team has regular on-site collaboration sessions six times annually split between our San Mateo or Columbus office locations. If you need to travel to make these meetups, Upstart will cover all travel related expenses.
What we’re looking for:
Strong academic credentials with a master's degree in computer science, statistics, mathematics, or other quantitative areas of study; Ph.D. preferred
Generally 4-5+ years experience in autonomous research and development of high impact production models in the real world
Full-stack expertise with all steps of the modeling process from ideation to productionalizing code; OR deep expertise in either statistical modeling or machine learning
Ability to discover and deliver significant improvements to Upstart's core business while setting the standard for quality and velocity
Programming expertise with Python with proficiency in writing clear, bug-free and well-documented code that runs well and is easily understood
Proficiency in many, with deep expertise in some- mathematical, statistical learning and machine learning concepts
Knowledge of machine learning, pipelines and engineering architecture with detailed understanding of building good technical solutions; ability to convert ideas into testable hypotheses and/or next steps
Ability to lead several projects that may involve multiple team members
Adeptness in dealing with technical challenges and trade-offs; ability to make reasonable decisions under uncertainty; and to prioritize effectively
Capable of leading team members on technical best practices, providing constructive feedback and mentoring to junior team members; ability to provide comprehensive and useful design and methodology reviews for ML projects.
Ability to navigate and work well with cross-functional stakeholders on projects with an understanding of how to deliver appropriate amount of technical communication communication to stakeholders to serve team or business needs
Ability to communicate technical concepts to a non-technical audience
Strong sense of intellectual curiosity balanced with humility, drive and teamwork
Numerically-savvy and smart with ability to operate at a speedy pace
Enthusiasm for and alignment with Upstart’s mission and values
What you’ll love:
Competitive Compensation (base + bonus & equity)
Comprehensive medical, dental, and vision coverage
Personal Development and Technology & Ergonomic Budgets
Life insurance and disability benefits
Clubs and Activities (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams)
Generous vacation policy
401(k) and Employee Stock Purchase Plan (ESPP)
Catered lunches + snacks & drinks
The minimum base pay for this position in Colorado is $155,000 + bonus + equity + benefits. Base pay may vary depending on job-related knowledge, skills, and experience. This information is provided in accordance with the Colorado Equal Pay Act. It is specific to Colorado and may not be applicable to other locations.
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Senior Data Scientist Analytics Market Optimization | Openx |
Who we are: OpenX is a top player in the AdTech industry in the World specializing in programmatic advertising, powering monetization and advertising revenue for publishers (i.e. websites, mobile apps, CTV and OTT apps, etc.), and providing highly targeted audiences for advertisers, brands, and agencies. We have seven offices located around the globe (in the US, the UK, Poland, and Japan). Our Ad Exchange platform handles billions of ad requests daily connecting thousands of publishers with demand partners. It’s fully containerized running in the cloud in multiple regions across the world. That’s the place where each millisecond matters.
We are operating at a scale:
100% Cloud-based (GCP) platform
Over 250 billion Ad requests every day
Over 120 000 CPU daily
Over 140 TB RAM daily
Over 50 PB of data per week
Over 1200 production deployments a month
Who we are looking for
OpenX Technologies, Inc. is looking for Analysts to join our Market Optimization team in the Data Science Org. Our exchange processes hundreds of billions of ad requests daily, resulting in petabytes of new data daily. We're looking for Analysts who will use analytics and A/B testing to dig through the noise to identify and implement optimizations that increase yield for our publishers and efficiency for our buyers.
The ideal candidate has a passion for telling stories with data, an ability to explain complex ideas to a broad audience, and a keen eye for levers that drive business value.
If you’re:
Open-minded - happy to give & receive feedback, not afraid to fail, and move on
Proactive - always want to find a satisfying solution
Self-organized and self-motivated
We want to talk to you.
What we offer
Working with the newest technologies such as Cloud Computing (GCP)
Experienced Team (50% of the company are senior developers!)
Challenges at work that are difficult to find anywhere else!
Solving important problems in a scale
Joining a company that is growing and scaling
Flexible working hours & remote work option
Key Responsibilities
You'll be responsible for identifying and prioritizing the biggest opportunities for optimization across the exchange
You will leverage sound analytics, A/B testing, and industry knowledge to help tech/product make sound decision making
On an ongoing basis, you will be monitoring, optimizing, and troubleshooting OpenX's programmatic marketplace with an eye towards automation
Required Qualifications
5+ years of experience in an analytics role
Proficiency in SQL and programming experience in Python
Experience designing and executing A/B tests
Solid grasp of probability and statistics, especially techniques that scale to massive datasets
Communicative Polish and English languages
Strong communication and presentation skills
BA/BS in a quantitative field such as Computer Science, Statistics, Physics, Mathematics or related. Advanced degree (MS+) preferred.
Our benefits
Annual performance bonus
Tax-deductible system due to copyright protection
Private health care for you and your family (covered by OpenX)
Private life and travel insurance (Covid insurance included)
MultiKafeteria program
Training: access to the LinkedIn Learning platform, Tech workshops, English lessons
Holiday Allowance
Pension scheme (PPK from PZU)
Additional paid day off
Free parking lot
Sports activities: online yoga/stretching classes :)
Access to peer to peer recognition platform
Possible trips to California once in a while
Company events (online during the pandemic time)
Monthly work from home allowance and one-time payment when you join us to help you set up your home office
We celebrate team members' important personal milestones (vouchers, gifts)
Company at a Glance
OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.
At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.
OpenX Values
Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.
We are one
One team. No exceptions. We are a group of strong and diverse individuals unified by a clear common purpose.
Our customers define us
We know our business flourishes or dies because of our customers.
OpenX is mine
We are all owners of OpenX. We stake our personal and professional reputations on the excellence of our work.
We are an open book
We are eager to teach and share what we know with others.
We evolve fast
We take risks and confront failure openly. We recognize and repeat success aggressively. We actively seek out and provide constructive criticism.
OpenX is committed to equal employment opportunities. It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.
Data wejścia w życie: 1 marca 2022
Polityka prywatności kandydatów do pracy OpenX
Niniejsza polityka prywatności określa sposób, w jaki OpenX (łącznie "OpenX" lub "my") wykorzystuje i chroni Twoje dane osobowe w celu oceny Twojej kandydatury na stanowisko w OpenX.
Twoje dane osobowe są przekazywane do naszego dostawcy oprogramowania do zarządzania rekrutacjami kandydatów, w celu prowadzenia rejestrów i śledzenia Twojego statusu rekrutacji i informacji o Tobie.
Zachęcamy do zapoznania się z całą polityką, ponieważ zawiera ona ważne informacje na temat Twoich praw i naszych obowiązków w odniesieniu do Twoich danych.
Dane, które gromadzimy
Jeśli ubiegasz się o pracę w naszej firmie, będziemy gromadzić, wykorzystywać i przechowywać Twoje dane osobowe. W zakresie dozwolonym przez prawo, może to obejmować:
Dane przekazywane nam bezpośrednio przez Ciebie:
Przetwarzamy dane osobowe zawarte w przesłanej przez Ciebie aplikacji o pracę oraz informacje, które podajesz w trakcie procesu rekrutacji (w szczególności dane zawarte w Twoim CV oraz dodatkowe dane przekazane w trakcie rekrutacji). Mogą one obejmować:
· dane kontaktowe (imię i nazwisko, adres, numery telefonów, e-mail, itp.);
· szczegóły dotyczące kwalifikacji (takie jak informacje o poprzednim doświadczeniu zawodowym lub wykształceniu);
· informacje zawarte w aplikacji (takie jak oczekiwany dochód, rodzaj poszukiwanej pracy lub Twoja dyspozycyjność);
· dane identyfikacyjne (takie jak data urodzenia, numer paszportu, narodowość i miejsce zamieszkania, PESEL, status imigracyjny);
· wszelkie inne dane przekazane nam przez Ciebie, w tym korespondencję pomiędzy Tobą a OpenX prowadzoną w trakcie procesu rekrutacji;
· jeśli wyraziłeś na to wyraźną, dobrowolną zgodę - dane demograficzne (np. informacje o pochodzeniu rasowym lub etnicznym).
Dane z innych źródeł: Zasadniczo, zbieramy dane bezpośrednio od Ciebie, gdy odpowiadasz na nasze ogłoszenie o pracę. Czasami uzyskujemy dane o Tobie z innych źródeł, takich jak Twoi poprzedni pracodawcy (jeśli wyrazisz zgodę na zbieranie przez nas referencji), rekruterzy, firmy zajmujące się badaniem rynku, dostawcy usług weryfikacji tożsamości oraz informacje dostępne w Internecie i na stronach internetowych stron trzecich, w tym na LinkedIn. W przypadku wyrażenia przez Ciebie zgody na weryfikację informacji o Tobie (background check) i/lub gdy jest to dozwolone przez prawo, możemy również gromadzić szczegóły dotyczące wpisów do rejestrów prowadzonych przez organizacje zawodowe, sankcji nałożonych przez organizacje zawodowe, kontroli finansowych lub wyroków skazujących.
Informacje zbierane automatycznie: Podczas składania aplikacji za pośrednictwem strony kariery w naszej witrynie internetowej, możemy automatycznie zbierać pewne informacje z Twojego komputera, telefonu komórkowego lub innego urządzenia. Mogą to być między innymi takie informacje jak adres IP komputera, standardowe dane dziennika sieciowego lub typ przeglądarki.
Dlaczego przetwarzamy Twoje dane osobowe i na jakiej podstawie?
OpenX może uzyskiwać dostęp do Twoich danych osobowych, wykorzystywać je i przechowywać z powodów określonych poniżej.
· Jeżeli jest to niezbędne do dokonania przez OpenX oceny Twojej aplikacji o pracę. Może to obejmować:
· ocenę Twoich umiejętności i zainteresowania możliwościami kariery w OpenX;
· rozpatrzenie aplikacji;
· analizę i weryfikację Twoich kwalifikacji;
· weryfikację Twojej tożsamości i Twoich kwalifikacji do zatrudnienia; oraz
· komunikowanie się z Tobą w sprawie Twojej aplikacji, odpowiadanie na Twoje zapytania i planowanie rozmów kwalifikacyjnych.
· Jeżeli jest to niezbędne do realizacji prawnie uzasadnionych interesów OpenX wymienionych poniżej i jeżeli Twoje prawa w zakresie ochrony danych nie są nadrzędne nad naszymi interesami. Może to obejmować:
· Przeprowadzanie procedury weryfikacji informacji dotyczących kandydata (background check), a w szczególności gromadzenie szczegółów dotyczących wpisów do rejestrów prowadzonych przez organizacje zawodowe.
· Ochrona naszych uzasadnionych interesów biznesowych i praw. Obejmuje to wykorzystanie w związku z roszczeniami prawnymi, zgodnością z przepisami, regulacjami, audytami, celami dochodzeniowymi i dyscyplinarnymi (w tym ujawnienie takich informacji w związku z lub postępowaniem sądowym) oraz innymi wymogami dotyczącymi etyki i raportowania zgodności.
· Utrzymanie bezpieczeństwa i integralności naszych obiektów, sprzętu i platform elektronicznych. Obejmuje to administrowanie prawami dostępu, monitorowanie zgodności z protokołami firmowymi, a tam, gdzie jest to dozwolone przez lokalne prawo i zgodne z odpowiednimi politykami, prowadzenie dochodzeń i działań dyscyplinarnych.
· Gdy jest to niezbędne do spełnienia obowiązku prawnego. Może to obejmować ujawnienie informacji organom ścigania lub w związku z roszczeniami prawnymi, lub celami regulacyjnymi (w tym ujawnienie takich informacji w związku z procesem prawnym lub postępowaniem sądowym).
· W przypadku, gdy wyraziłaś/wyraziłeś na to zgodę. Pamiętaj, proszę, że nie masz obowiązku wyrażenia zgody wtedy, gdy o nią prosimy. Jest ona zawsze udzielana dobrowolnie. Na przykład, poprosimy Cię o zgodę na wzięcie udziału w przyszłych procesach rekrutacyjnych prowadzonych przez OpenX. Możemy również poprosić Cię o zgodę na sprawdzenie przeszłości kryminalnej lub zadać Ci pytania związane z informacjami demograficznymi, które pomogą nam wspierać programy różnorodności i inkluzji.
Możemy również przetwarzać Twoje dane osobowe na podstawie zgody, co jest wymagane w niektórych jurysdykcjach. Na przykład, jeśli aplikujesz na stanowisko w Polsce, możemy poprosić Cię o zgodę na sprawdzenie referencji od poprzednich pracodawców. Ponadto, przekazując nam pewne dane, których nie wymagamy od Ciebie (np. Twoje zdjęcie), wyrażasz zgodę na ich przetwarzanie.
Ujawnianie informacji stronom trzecim
Jeżeli jest to konieczne dla celów biznesowych, możemy udostępniać Twoje dane osobowe następującym spółkom powiązanym OpenX, wymienionym tutaj.
Dane osobowe mogą być udostępniane organom administracji państwowej i/lub przedstawicielom organów ścigania, jeżeli jest to wymagane do realizacji powyższych celów, jeżeli jest to nakazane przepisami prawa lub jeżeli jest to wymagane w celu ochrony uzasadnionych interesów OpenX (np. w celu dochodzenia roszczeń i obrony przed roszczeniami) zgodnie z obowiązującymi przepisami prawa.
Dane osobowe mogą być również udostępniane zewnętrznym dostawcom usług, którzy będą je przetwarzać w imieniu OpenX w celach opisanych powyżej. Dotyczy to w szczególności naszego dostawcy, który dostarcza oprogramowanie pomagające nam w zarządzaniu aplikacjami.
Dodatkowo, możemy otrzymywać dane osobowe od agencji rekrutacyjnych. Możemy również udostępniać takim podmiotom bardzo ograniczone informacje o Tobie (np. Twój publiczny profil w mediach społecznościowych na LinkedIn). Agencje, które udostępniają nam dane, będą działać jako odrębni administratorzy danych i mogą posiadać własne polityki, które regulują sposób gromadzenia i wykorzystywania Twoich danych. Aby w pełni zrozumieć, w jaki sposób Twoje dane są przetwarzane, należy zawsze dokładnie zapoznać się z polityką prywatności agencji rekrutacyjnej, z którą się związałaś/związałeś.
W przypadku sprzedaży lub integracji OpenX lub któregokolwiek z jej podmiotów powiązanych z inną firmą, Twoje dane osobowe mogą zostać ujawnione doradcom OpenX oraz doradcom potencjalnego nabywcy, a następnie przekazane nowym właścicielom firmy.
Przechowywanie Twoich danych
Będziemy przechowywać Twoje dane osobowe w formie, która Cię identyfikuje, przez okres nie dłuższy niż jest to konieczne do celów niezbędnych do celów rekrutacji.
Jeśli Twoje zgłoszenie zostanie rozpatrzone pozytywnie, podane informacje mogą zostać zachowane do celów związanych z Twoim zatrudnieniem.
Jeśli zgłoszenie nie zakończy się sukcesem, a wyraziłeś zgodę na przechowywanie Twoich danych dla celów przyszłych rekrutacji, zachowamy Twoje dane przez okres 2 lat od zakończenia procesu rekrutacji na stanowisko, na które ostatnio aplikowałeś. Bez Twojej zgody na przyszłe rekrutacje, będziemy przechowywać Twoje dane osobowe przez rozsądny czas (nie dłużej niż 1 rok) po zakończeniu procesu rekrutacji na stanowisko, na które ostatnio aplikowałeś, abyśmy mogli powtórzyć proces rekrutacji, jeśli zajdzie taka potrzeba lub aby wyjaśnić wszelkie nieporozumienia między nami a Tobą.
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Twoje prawa
Dla kandydatów do pracy z Unii Europejskiej
Masz prawo zażądać od OpenX sprostowania, zablokowania lub ograniczenia dostępu do swoich danych osobowych, uzupełnienia ich i usunięcia. Możesz również "przenieść" swoje dane osobowe (tzn. poprosić nas o dostarczenie Ci ich w ustrukturyzowanym, powszechnie używanym i nadającym się do odczytu maszynowego formacie oraz o przekazanie ich bezpośrednio do innej organizacji). Masz prawo zażądać dostępu do swoich danych osobowych oraz dalszych informacji na temat przetwarzania Twoich danych osobowych.
W pewnych okolicznościach możesz również sprzeciwić się przetwarzaniu przez nas Twoich danych, a w przypadku, gdy poprosiliśmy o zgodę na przetwarzanie Twoich danych, w każdej chwili możesz wycofać tę zgodę. Należy pamiętać, że wycofanie zgody nie będzie miało wpływu na zgodność z prawem przetwarzania danych przed wycofaniem zgody.
Wszystkie wnioski będą rozpatrywane przy najbliższej okazji, a wszelkie opóźnienia będą ograniczone do minimum. W żadnym wypadku nie będziemy przekraczać ustawowego terminu.
Istnieją jednak wyjątki od tych praw. Na przykład, w pewnych okolicznościach można odmówić dostępu do danych osobowych, jeżeli udostępnienie tych informacji ujawniłoby dane osobowe innej osoby lub jeżeli OpenX nie może zgodnie z prawem ujawnić takich informacji. Ponadto, OpenX może zachować dane, nawet jeśli wycofasz swoją zgodę, jeśli OpenX będzie w stanie wykazać, że posiada alternatywną podstawę prawną do przetwarzania Twoich danych. Poinformujemy Cię o odpowiednich wyłączeniach, na które się powołujemy, odpowiadając na każde Twoje żądanie.
Jeśli masz nierozwiązane wątpliwości, masz prawo złożyć skargę do organu ochrony danych w kraju, w którym mieszkasz, pracujesz lub w którym uważasz, że doszło do naruszenia ochrony danych. Dane kontaktowe urzędu ochrony danych można znaleźć tutaj, jeśli jesteś osobą pochodzącą z EOG lub tutaj, jeśli jesteś osobą pochodzącą z Wielkiej Brytanii.
Przeprowadziliśmy testy równowagi interesów dla wszystkich procesów przetwarzania danych, które prowadzimy w oparciu o nasze uzasadnione interesy. Informacje na temat każdego z naszych testów równowagi interesów można uzyskać, kontaktując się z nami za pomocą danych kontaktowych podanych poniżej.
Jeśli chcesz skorzystać z któregokolwiek z praw wymienionych powyżej, prosimy o kontakt z nami tutaj.
Transfer poza EOG
Działamy globalnie i w wielu przypadkach musimy przekazywać Twoje dane osobowe na skalę międzynarodową, w tym do Stanów Zjednoczonych i Wielkiej Brytanii w celach opisanych powyżej. Twoje dane osobowe będą przekazywane i przetwarzane przez podmiot OpenX, z którym zawarłaś/zawarłeś umowę.
Przekazując dane osobowe do krajów spoza EOG, działamy zgodnie z prawem Unii Europejskiej, stosując Standardowe Klauzule Umowne zatwierdzone przez Komisję Europejską lub przyjmując inne adekwatne środki zabezpieczające. Kopię odpowiedniego mechanizmu można otrzymać do wglądu na żądanie, korzystając z poniższych danych kontaktowych.
Dla kandydatów do pracy w Stanach Zjednoczonych
W zależności od obszaru jurysdykcji, w której mieszkasz, możesz mieć prawo do żądania od OpenX usunięcia niektórych swoich danych osobowych, skorygowania nieprawidłowych danych osobowych oraz zapewnienia Ci dostępu do swoich danych osobowych.
OpenX nie udostępnia ani nie sprzedaje odpłatnie danych osobowych zebranych od kandydatów.
Wszystkie wnioski będą rozpatrywane przy najbliższej okazji, a wszelkie opóźnienia będą ograniczone do minimum. W żadnym wypadku nie będziemy przekraczać ustawowego terminu. OpenX nigdy nie będzie Cię dyskryminować w związku z korzystaniem przez Ciebie z przysługujących Ci praw w zakresie danych osobowych.
Istnieją jednak wyjątki od tych praw. Na przykład, w pewnych okolicznościach możemy odmówić dostępu do Twoich danych osobowych, jeżeli OpenX nie ma prawnej możliwości ujawnienia takich informacji. Ponadto, OpenX może zachować Twoje dane osobowe nawet jeśli zażądasz ich usunięcia, jeśli OpenX wykaże, że ma prawny obowiązek ich zachowania lub jest do tego uprawniony z innych względów. Poinformujemy Cię o odpowiednich wyłączeniach, na które się powołujemy, odpowiadając na każde Twoje żądanie.
Jeśli chcesz skorzystać z któregokolwiek z wyżej wymienionych praw, prosimy o kontakt tutaj lub pod numerem telefonu (855) 231-3834.
Aktualizacje niniejszej Informacji o ochronie prywatności
Niniejsza Polityka prywatności może być okresowo aktualizowana w celu odzwierciedlenia zmian w naszych praktykach dotyczących danych osobowych. Na naszych odpowiednich stronach internetowych, w aplikacjach lub materiałach zamieścimy informację o wszelkich istotnych zmianach w Polityce prywatności i wskażemy, kiedy Polityka prywatności została ostatnio zaktualizowana.
Skontaktuj się z nami
Administratorem danych, podmiotem gospodarczym lub równoważnym podmiotem kontrolującym sposób przetwarzania Twoich danych jest podmiot OpenX, do którego aplikujesz. Lista wszystkich podmiotów powiązanych z OpenX jest dostępna tutaj.
Jeśli masz pytania dotyczące prywatności, wątpliwości lub prośby, prosimy o kontakt z naszym Inspektorem Ochrony Danych pod adresem [email protected] lub tutaj.
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Regular Data Scientist Analytics Market Optimization | Openx |
Who we are: OpenX is a top player in the AdTech industry in the World specializing in programmatic advertising, powering monetization and advertising revenue for publishers (i.e. websites, mobile apps, CTV and OTT apps, etc.), and providing highly targeted audiences for advertisers, brands, and agencies. We have seven offices located around the globe (in the US, the UK, Poland, and Japan). Our Ad Exchange platform handles billions of ad requests daily connecting thousands of publishers with demand partners. It’s fully containerized running in the cloud in multiple regions across the world. That’s the place where each millisecond matters.
We are operating at a scale:
100% Cloud-based (GCP) platform
Over 250 billion Ad requests every day
Over 120 000 CPU daily
Over 140 TB RAM daily
Over 50 PB of data per week
Over 1200 production deployments a month
Who we are looking for
OpenX Technologies, Inc. is looking for Analysts to join our Market Optimization team in the Data Science Org. Our exchange processes hundreds of billions of ad requests daily, resulting in petabytes of new data daily. We're looking for Analysts who will use analytics and A/B testing to dig through the noise to identify and implement optimizations that increase yield for our publishers and efficiency for our buyers.
The ideal candidate has a passion for telling stories with data, an ability to explain complex ideas to a broad audience, and a keen eye for levers that drive business value.
If you’re:
Open-minded - happy to give & receive feedback, not afraid to fail, and move on
Proactive - always want to find a satisfying solution
Self-organized and self-motivated
We want to talk to you.
What we offer
Working with the newest technologies such as Cloud Computing (GCP)
Experienced Team (50% of the company are senior developers!)
Challenges at work that are difficult to find anywhere else!
Solving important problems in a scale
Joining a company that is growing and scaling
Flexible working hours & remote work option
Key Responsibilities
You'll be responsible for identifying and prioritizing the biggest opportunities for optimization across the exchange
You will leverage sound analytics, A/B testing, and industry knowledge to help tech/product make sound decision making
On an ongoing basis, you will be monitoring, optimizing, and troubleshooting OpenX's programmatic marketplace with an eye towards automation
Required Qualifications
2-3 years of experience in an analytics role
Proficiency in SQL and programming experience in Python
Experience designing and executing A/B tests
Solid grasp of probability and statistics, especially techniques that scale to massive datasets
Communicative Polish and English languages
Strong communication and presentation skills
BA/BS in a quantitative field such as Computer Science, Statistics, Physics, Mathematics or related. Advanced degree (MS+) preferred.
Our benefits
Annual performance bonus
Tax-deductible system due to copyright protection
Private health care for you and your family (covered by OpenX)
Private life and travel insurance (Covid insurance included)
MultiKafeteria program
Training: access to the LinkedIn Learning platform, Tech workshops, English lessons
Holiday Allowance
Pension scheme (PPK from PZU)
Additional paid day off
Free parking lot
Sports activities: online yoga/stretching classes :)
Access to peer to peer recognition platform
Possible trips to California once in a while
Company events (online during the pandemic time)
Monthly work from home allowance and one-time payment when you join us to help you set up your home office
We celebrate team members' important personal milestones (vouchers, gifts)
Company at a Glance
OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.
At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.
OpenX Values
Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.
We are one
One team. No exceptions. We are a group of strong and diverse individuals unified by a clear common purpose.
Our customers define us
We know our business flourishes or dies because of our customers.
OpenX is mine
We are all owners of OpenX. We stake our personal and professional reputations on the excellence of our work.
We are an open book
We are eager to teach and share what we know with others.
We evolve fast
We take risks and confront failure openly. We recognize and repeat success aggressively. We actively seek out and provide constructive criticism.
OpenX is committed to equal employment opportunities. It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.
Data wejścia w życie: 1 marca 2022
Polityka prywatności kandydatów do pracy OpenX
Niniejsza polityka prywatności określa sposób, w jaki OpenX (łącznie "OpenX" lub "my") wykorzystuje i chroni Twoje dane osobowe w celu oceny Twojej kandydatury na stanowisko w OpenX.
Twoje dane osobowe są przekazywane do naszego dostawcy oprogramowania do zarządzania rekrutacjami kandydatów, w celu prowadzenia rejestrów i śledzenia Twojego statusu rekrutacji i informacji o Tobie.
Zachęcamy do zapoznania się z całą polityką, ponieważ zawiera ona ważne informacje na temat Twoich praw i naszych obowiązków w odniesieniu do Twoich danych.
Dane, które gromadzimy
Jeśli ubiegasz się o pracę w naszej firmie, będziemy gromadzić, wykorzystywać i przechowywać Twoje dane osobowe. W zakresie dozwolonym przez prawo, może to obejmować:
Dane przekazywane nam bezpośrednio przez Ciebie:
Przetwarzamy dane osobowe zawarte w przesłanej przez Ciebie aplikacji o pracę oraz informacje, które podajesz w trakcie procesu rekrutacji (w szczególności dane zawarte w Twoim CV oraz dodatkowe dane przekazane w trakcie rekrutacji). Mogą one obejmować:
· dane kontaktowe (imię i nazwisko, adres, numery telefonów, e-mail, itp.);
· szczegóły dotyczące kwalifikacji (takie jak informacje o poprzednim doświadczeniu zawodowym lub wykształceniu);
· informacje zawarte w aplikacji (takie jak oczekiwany dochód, rodzaj poszukiwanej pracy lub Twoja dyspozycyjność);
· dane identyfikacyjne (takie jak data urodzenia, numer paszportu, narodowość i miejsce zamieszkania, PESEL, status imigracyjny);
· wszelkie inne dane przekazane nam przez Ciebie, w tym korespondencję pomiędzy Tobą a OpenX prowadzoną w trakcie procesu rekrutacji;
· jeśli wyraziłeś na to wyraźną, dobrowolną zgodę - dane demograficzne (np. informacje o pochodzeniu rasowym lub etnicznym).
Dane z innych źródeł: Zasadniczo, zbieramy dane bezpośrednio od Ciebie, gdy odpowiadasz na nasze ogłoszenie o pracę. Czasami uzyskujemy dane o Tobie z innych źródeł, takich jak Twoi poprzedni pracodawcy (jeśli wyrazisz zgodę na zbieranie przez nas referencji), rekruterzy, firmy zajmujące się badaniem rynku, dostawcy usług weryfikacji tożsamości oraz informacje dostępne w Internecie i na stronach internetowych stron trzecich, w tym na LinkedIn. W przypadku wyrażenia przez Ciebie zgody na weryfikację informacji o Tobie (background check) i/lub gdy jest to dozwolone przez prawo, możemy również gromadzić szczegóły dotyczące wpisów do rejestrów prowadzonych przez organizacje zawodowe, sankcji nałożonych przez organizacje zawodowe, kontroli finansowych lub wyroków skazujących.
Informacje zbierane automatycznie: Podczas składania aplikacji za pośrednictwem strony kariery w naszej witrynie internetowej, możemy automatycznie zbierać pewne informacje z Twojego komputera, telefonu komórkowego lub innego urządzenia. Mogą to być między innymi takie informacje jak adres IP komputera, standardowe dane dziennika sieciowego lub typ przeglądarki.
Dlaczego przetwarzamy Twoje dane osobowe i na jakiej podstawie?
OpenX może uzyskiwać dostęp do Twoich danych osobowych, wykorzystywać je i przechowywać z powodów określonych poniżej.
· Jeżeli jest to niezbędne do dokonania przez OpenX oceny Twojej aplikacji o pracę. Może to obejmować:
· ocenę Twoich umiejętności i zainteresowania możliwościami kariery w OpenX;
· rozpatrzenie aplikacji;
· analizę i weryfikację Twoich kwalifikacji;
· weryfikację Twojej tożsamości i Twoich kwalifikacji do zatrudnienia; oraz
· komunikowanie się z Tobą w sprawie Twojej aplikacji, odpowiadanie na Twoje zapytania i planowanie rozmów kwalifikacyjnych.
· Jeżeli jest to niezbędne do realizacji prawnie uzasadnionych interesów OpenX wymienionych poniżej i jeżeli Twoje prawa w zakresie ochrony danych nie są nadrzędne nad naszymi interesami. Może to obejmować:
· Przeprowadzanie procedury weryfikacji informacji dotyczących kandydata (background check), a w szczególności gromadzenie szczegółów dotyczących wpisów do rejestrów prowadzonych przez organizacje zawodowe.
· Ochrona naszych uzasadnionych interesów biznesowych i praw. Obejmuje to wykorzystanie w związku z roszczeniami prawnymi, zgodnością z przepisami, regulacjami, audytami, celami dochodzeniowymi i dyscyplinarnymi (w tym ujawnienie takich informacji w związku z lub postępowaniem sądowym) oraz innymi wymogami dotyczącymi etyki i raportowania zgodności.
· Utrzymanie bezpieczeństwa i integralności naszych obiektów, sprzętu i platform elektronicznych. Obejmuje to administrowanie prawami dostępu, monitorowanie zgodności z protokołami firmowymi, a tam, gdzie jest to dozwolone przez lokalne prawo i zgodne z odpowiednimi politykami, prowadzenie dochodzeń i działań dyscyplinarnych.
· Gdy jest to niezbędne do spełnienia obowiązku prawnego. Może to obejmować ujawnienie informacji organom ścigania lub w związku z roszczeniami prawnymi, lub celami regulacyjnymi (w tym ujawnienie takich informacji w związku z procesem prawnym lub postępowaniem sądowym).
· W przypadku, gdy wyraziłaś/wyraziłeś na to zgodę. Pamiętaj, proszę, że nie masz obowiązku wyrażenia zgody wtedy, gdy o nią prosimy. Jest ona zawsze udzielana dobrowolnie. Na przykład, poprosimy Cię o zgodę na wzięcie udziału w przyszłych procesach rekrutacyjnych prowadzonych przez OpenX. Możemy również poprosić Cię o zgodę na sprawdzenie przeszłości kryminalnej lub zadać Ci pytania związane z informacjami demograficznymi, które pomogą nam wspierać programy różnorodności i inkluzji.
Możemy również przetwarzać Twoje dane osobowe na podstawie zgody, co jest wymagane w niektórych jurysdykcjach. Na przykład, jeśli aplikujesz na stanowisko w Polsce, możemy poprosić Cię o zgodę na sprawdzenie referencji od poprzednich pracodawców. Ponadto, przekazując nam pewne dane, których nie wymagamy od Ciebie (np. Twoje zdjęcie), wyrażasz zgodę na ich przetwarzanie.
Ujawnianie informacji stronom trzecim
Jeżeli jest to konieczne dla celów biznesowych, możemy udostępniać Twoje dane osobowe następującym spółkom powiązanym OpenX, wymienionym tutaj.
Dane osobowe mogą być udostępniane organom administracji państwowej i/lub przedstawicielom organów ścigania, jeżeli jest to wymagane do realizacji powyższych celów, jeżeli jest to nakazane przepisami prawa lub jeżeli jest to wymagane w celu ochrony uzasadnionych interesów OpenX (np. w celu dochodzenia roszczeń i obrony przed roszczeniami) zgodnie z obowiązującymi przepisami prawa.
Dane osobowe mogą być również udostępniane zewnętrznym dostawcom usług, którzy będą je przetwarzać w imieniu OpenX w celach opisanych powyżej. Dotyczy to w szczególności naszego dostawcy, który dostarcza oprogramowanie pomagające nam w zarządzaniu aplikacjami.
Dodatkowo, możemy otrzymywać dane osobowe od agencji rekrutacyjnych. Możemy również udostępniać takim podmiotom bardzo ograniczone informacje o Tobie (np. Twój publiczny profil w mediach społecznościowych na LinkedIn). Agencje, które udostępniają nam dane, będą działać jako odrębni administratorzy danych i mogą posiadać własne polityki, które regulują sposób gromadzenia i wykorzystywania Twoich danych. Aby w pełni zrozumieć, w jaki sposób Twoje dane są przetwarzane, należy zawsze dokładnie zapoznać się z polityką prywatności agencji rekrutacyjnej, z którą się związałaś/związałeś.
W przypadku sprzedaży lub integracji OpenX lub któregokolwiek z jej podmiotów powiązanych z inną firmą, Twoje dane osobowe mogą zostać ujawnione doradcom OpenX oraz doradcom potencjalnego nabywcy, a następnie przekazane nowym właścicielom firmy.
Przechowywanie Twoich danych
Będziemy przechowywać Twoje dane osobowe w formie, która Cię identyfikuje, przez okres nie dłuższy niż jest to konieczne do celów niezbędnych do celów rekrutacji.
Jeśli Twoje zgłoszenie zostanie rozpatrzone pozytywnie, podane informacje mogą zostać zachowane do celów związanych z Twoim zatrudnieniem.
Jeśli zgłoszenie nie zakończy się sukcesem, a wyraziłeś zgodę na przechowywanie Twoich danych dla celów przyszłych rekrutacji, zachowamy Twoje dane przez okres 2 lat od zakończenia procesu rekrutacji na stanowisko, na które ostatnio aplikowałeś. Bez Twojej zgody na przyszłe rekrutacje, będziemy przechowywać Twoje dane osobowe przez rozsądny czas (nie dłużej niż 1 rok) po zakończeniu procesu rekrutacji na stanowisko, na które ostatnio aplikowałeś, abyśmy mogli powtórzyć proces rekrutacji, jeśli zajdzie taka potrzeba lub aby wyjaśnić wszelkie nieporozumienia między nami a Tobą.
Stosowanie plików cookie
Najprawdopodobniej odwiedziłaś/odwiedziłeś naszą stronę w celu złożenia aplikacji na stanowisko pracy. Na naszej stronie internetowej używamy plików cookie do zbierania informacji o Twojej aktywności online. Pliki cookie to małe fragmenty informacji wysyłane przez serwer WWW do przeglądarki internetowej, które pozwalają serwerowi na unikalną identyfikację Twojej przeglądarki na każdej stronie. Aby dowiedzieć się więcej na temat kategorii plików cookie, których używamy na naszej stronie internetowej, prosimy o zapoznanie się z naszą Polityką dotyczącą plików cookie.
Twoje prawa
Dla kandydatów do pracy z Unii Europejskiej
Masz prawo zażądać od OpenX sprostowania, zablokowania lub ograniczenia dostępu do swoich danych osobowych, uzupełnienia ich i usunięcia. Możesz również "przenieść" swoje dane osobowe (tzn. poprosić nas o dostarczenie Ci ich w ustrukturyzowanym, powszechnie używanym i nadającym się do odczytu maszynowego formacie oraz o przekazanie ich bezpośrednio do innej organizacji). Masz prawo zażądać dostępu do swoich danych osobowych oraz dalszych informacji na temat przetwarzania Twoich danych osobowych.
W pewnych okolicznościach możesz również sprzeciwić się przetwarzaniu przez nas Twoich danych, a w przypadku, gdy poprosiliśmy o zgodę na przetwarzanie Twoich danych, w każdej chwili możesz wycofać tę zgodę. Należy pamiętać, że wycofanie zgody nie będzie miało wpływu na zgodność z prawem przetwarzania danych przed wycofaniem zgody.
Wszystkie wnioski będą rozpatrywane przy najbliższej okazji, a wszelkie opóźnienia będą ograniczone do minimum. W żadnym wypadku nie będziemy przekraczać ustawowego terminu.
Istnieją jednak wyjątki od tych praw. Na przykład, w pewnych okolicznościach można odmówić dostępu do danych osobowych, jeżeli udostępnienie tych informacji ujawniłoby dane osobowe innej osoby lub jeżeli OpenX nie może zgodnie z prawem ujawnić takich informacji. Ponadto, OpenX może zachować dane, nawet jeśli wycofasz swoją zgodę, jeśli OpenX będzie w stanie wykazać, że posiada alternatywną podstawę prawną do przetwarzania Twoich danych. Poinformujemy Cię o odpowiednich wyłączeniach, na które się powołujemy, odpowiadając na każde Twoje żądanie.
Jeśli masz nierozwiązane wątpliwości, masz prawo złożyć skargę do organu ochrony danych w kraju, w którym mieszkasz, pracujesz lub w którym uważasz, że doszło do naruszenia ochrony danych. Dane kontaktowe urzędu ochrony danych można znaleźć tutaj, jeśli jesteś osobą pochodzącą z EOG lub tutaj, jeśli jesteś osobą pochodzącą z Wielkiej Brytanii.
Przeprowadziliśmy testy równowagi interesów dla wszystkich procesów przetwarzania danych, które prowadzimy w oparciu o nasze uzasadnione interesy. Informacje na temat każdego z naszych testów równowagi interesów można uzyskać, kontaktując się z nami za pomocą danych kontaktowych podanych poniżej.
Jeśli chcesz skorzystać z któregokolwiek z praw wymienionych powyżej, prosimy o kontakt z nami tutaj.
Transfer poza EOG
Działamy globalnie i w wielu przypadkach musimy przekazywać Twoje dane osobowe na skalę międzynarodową, w tym do Stanów Zjednoczonych i Wielkiej Brytanii w celach opisanych powyżej. Twoje dane osobowe będą przekazywane i przetwarzane przez podmiot OpenX, z którym zawarłaś/zawarłeś umowę.
Przekazując dane osobowe do krajów spoza EOG, działamy zgodnie z prawem Unii Europejskiej, stosując Standardowe Klauzule Umowne zatwierdzone przez Komisję Europejską lub przyjmując inne adekwatne środki zabezpieczające. Kopię odpowiedniego mechanizmu można otrzymać do wglądu na żądanie, korzystając z poniższych danych kontaktowych.
Dla kandydatów do pracy w Stanach Zjednoczonych
W zależności od obszaru jurysdykcji, w której mieszkasz, możesz mieć prawo do żądania od OpenX usunięcia niektórych swoich danych osobowych, skorygowania nieprawidłowych danych osobowych oraz zapewnienia Ci dostępu do swoich danych osobowych.
OpenX nie udostępnia ani nie sprzedaje odpłatnie danych osobowych zebranych od kandydatów.
Wszystkie wnioski będą rozpatrywane przy najbliższej okazji, a wszelkie opóźnienia będą ograniczone do minimum. W żadnym wypadku nie będziemy przekraczać ustawowego terminu. OpenX nigdy nie będzie Cię dyskryminować w związku z korzystaniem przez Ciebie z przysługujących Ci praw w zakresie danych osobowych.
Istnieją jednak wyjątki od tych praw. Na przykład, w pewnych okolicznościach możemy odmówić dostępu do Twoich danych osobowych, jeżeli OpenX nie ma prawnej możliwości ujawnienia takich informacji. Ponadto, OpenX może zachować Twoje dane osobowe nawet jeśli zażądasz ich usunięcia, jeśli OpenX wykaże, że ma prawny obowiązek ich zachowania lub jest do tego uprawniony z innych względów. Poinformujemy Cię o odpowiednich wyłączeniach, na które się powołujemy, odpowiadając na każde Twoje żądanie.
Jeśli chcesz skorzystać z któregokolwiek z wyżej wymienionych praw, prosimy o kontakt tutaj lub pod numerem telefonu (855) 231-3834.
Aktualizacje niniejszej Informacji o ochronie prywatności
Niniejsza Polityka prywatności może być okresowo aktualizowana w celu odzwierciedlenia zmian w naszych praktykach dotyczących danych osobowych. Na naszych odpowiednich stronach internetowych, w aplikacjach lub materiałach zamieścimy informację o wszelkich istotnych zmianach w Polityce prywatności i wskażemy, kiedy Polityka prywatności została ostatnio zaktualizowana.
Skontaktuj się z nami
Administratorem danych, podmiotem gospodarczym lub równoważnym podmiotem kontrolującym sposób przetwarzania Twoich danych jest podmiot OpenX, do którego aplikujesz. Lista wszystkich podmiotów powiązanych z OpenX jest dostępna tutaj.
Jeśli masz pytania dotyczące prywatności, wątpliwości lub prośby, prosimy o kontakt z naszym Inspektorem Ochrony Danych pod adresem [email protected] lub tutaj.
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Data Scientist Ii | Openx |
Who we are looking for
OpenX Technologies, Inc. is looking for Analysts to join our Market Optimization team in the Data Science Org. Our exchange processes hundreds of billions of ad requests daily, resulting in petabytes of new data daily. We're looking for Analysts who will use analytics and A/B testing to dig through the noise to identify and implement optimizations that increase yield for our publishers and efficiency for our buyers.
The ideal candidate has a passion for telling stories with data, an ability to explain complex ideas to a broad audience, and a keen eye for levers that drive business value.
If you’re:
Open-minded - happy to give & receive feedback, not afraid to fail, and move on
Proactive - always want to find a satisfying solution
Self-organized and self-motivated
We want to talk to you.
Key Responsibilities
Extract data from TB-scale datasets and transform it into compact representations which are amenable to use by a wide variety of models
Developing and managing ML pipelines to predict and model key components and phenomena in our ad exchange, leveraging these to answer questions and improve performance
Succinctly and concisely convey reporting, including results of A/B tests, key metric determination and evolution, and model impact
Coordinate with other members of the team to deploy, manage, and synchronize the function of all ML models in production and development
Requirements and Skills
1-2 years of experience in a data science or machine learning engineer role
Proficiency in SQL and programming experience in Python
Experience with deep learning or Gaussian process-based models
Solid grasp of probability and statistics, especially techniques that scale to massive datasets
Strong communication and presentation skills: Proficient in analysis and summarization of the key points of a data set or experiment result
BA/BS in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or related
Experience working with a cloud platform like GCP / AWS / Azure a plus
Experience with the Tensorflow / TFX platforms a plus
Advanced degree (MS+) in one of the aforementioned fields a plus
Effective Date: March 1, 2022
OpenX Applicant Privacy Policy
This privacy policy sets out how OpenX (collectively, "OpenX" or "we") uses and protects your personal data in order to evaluate your candidacy for a position with OpenX.
Your personal data is provided to our applicant tracking vendor in order to maintain records and keep track of your recruiting status and information.
We encourage you to read the whole policy because it provides important information on your rights, and our obligations, with respect to your data.
Data we collect
If you apply for a job with us, we will collect, use, and store personal data about you. To the extent permitted by law, this may include:
Data you provide to us directly:
We process personal data contained in the job application that you send to us and information that you provide during the recruitment process (specifically data contained in your CV and additional data provided during recruitment). Those may include:
‚󏬆¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† contact details (name, address, phone numbers, email, etc.);
‚󏬆¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† qualification details (such as information on your previous work experience or education);
‚󏬆¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† application information (such as expected income, type of job wanted or your availability);
‚󏬆¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† identification details (such as date of birth, passport number, nationality and residence, government ID numbers (e.g. Social Security Number), immigration status);
‚󏬆¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† any other data you submit to us, including any correspondence between you and OpenX exchanged during the application process;
‚󏬆¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† if you granted us your explicit, voluntary consent - demographic data (e.g. information about your race or ethnicity).
Data from other sources: Generally, we collect data directly from you when you respond to our job application. Sometimes, we obtain data about you from other sources, such as your previous employers (if you consent to us collecting references), recruiters, market research companies, identity verification providers, and information accessible on the Internet and third-party websites, including LinkedIn. If you have consented to background checks and/or where permitted by law, we may also collect details of professional registrations, sanctions with professional bodies, financial checks, or criminal convictions.
Automatically collected information: When you submit an application through the careers page on our website, we may automatically gather some information from your computer, mobile phone, or other device. This may include, but is not limited to, information such as your computer IP address, standard web log data, or browser type.
Why do we process your personal data and on what basis?
OpenX may access, use and store your personal data for the reasons set out below.
‚󏬆¬†¬†¬†¬†¬†¬† Where this is necessary for OpenX to review and assess your application for employment.¬† This may include:
o   assessing your skills and interest in career opportunities at OpenX;
o   processing your application;
o   analyzing and verifying your qualifications;
o   verifying your identity and your eligibility for employment; and
o   communicating with you about your application, to respond to your inquiries and schedule interviews.
‚󏬆¬†¬†¬†¬†¬†¬† Where necessary for OpenX's legitimate interests, as listed below, and where our interests are not overridden by your data protection rights.¬† This may include:
o   Conducting background checks, and in particular collecting details of professional registrations.
 
o   Protecting our legitimate business interests and legal rights.  This includes use in connection with legal claims, compliance, regulatory, auditing, investigative and disciplinary purposes (including disclosure of such information in connection with legal process or litigation) and other ethics and compliance reporting requirements. 
o   Maintaining the security and integrity of our facilities, equipment and electronic platforms.  This includes administering access rights, monitoring compliance with company protocols, and where permitted by local law and in accordance with relevant policies, for investigations and disciplinary actions.
‚󏬆¬†¬†¬†¬†¬†¬† Where necessary to comply with a legal obligation.¬† This may include disclosures to law enforcement agencies or in connection with legal claims, or regulatory purposes (including disclosure of such information in connection with legal process or litigation).
‚󏬆¬†¬†¬†¬†¬†¬† Where you have given consent. Please remember that you are never required to give consent whenever we ask for it. It‚Äôs always given on a voluntary basis. For example, we will ask for your consent to take part in future recruitment processes conducted by OpenX.We may also ask for your permission to conduct a criminal background check or ask you questions related to demographic information which help us support diversity and inclusion programs.
We may also process your personal data on the basis of consent as required in certain jurisdictions. For example, if you apply to a position in Poland, we may ask for your permission to check references from previous employers. Also, by providing us with certain data that we do not request from you (e.g., your photo), you give us your consent for their processing.
Disclosure to third parties
Where necessary for business purposes, we may share your personal information with the following OpenX affiliated companies listed here.
Personal information may be shared with government authorities and/or law enforcement officials if required for the purposes above, if mandated by law, or if required for the protection of OpenX's legitimate interests (such as for the purpose of pursuing claims and defence against claims) in compliance with applicable laws.
Personal data may also be shared with third party service providers who will process it on behalf of OpenX for the purposes described above. This will include, specifically, our applicant tracking vendor who provides software that helps us manage the applications.
Additionally, we may receive personal data about you from recruitment agencies. We may also share very limited information about you with such entities (e.g. your public social media profile on LinkedIn). Agencies that share data with us will act as separate data controllers and may have their own policies that govern how they collect and use your data. To fully understand how your data is being processed, you should always carefully read the privacy policy of a recruitment agency you engaged with.
If OpenX or any of its affiliated entities is sold or integrated with another business, your details may be disclosed to OpenX advisers and any prospective purchaser's adviser and will be passed to the new owners of the business.
Retention of your data
We will retain your personal data in a form that identifies you for no longer than is necessary for the purposes needed for the application.
If your application is successful, the information provided may be retained for purposes of your employment.
If it is not successful and you have provided us with consent to retain your data for future recruitment purposes, we retain your data for the period of 2 years after the end of the recruitment process for the position you last applied for.Without your consent for future recruitments, we will retain your personal information for a reasonable time (no longer than 1 year) after the end of the recruitment process for the position you last applied for, so that we can repeat the recruitment process if needed orto address any misunderstandings between us and you.
Use of Cookies
You most likely visited our website in order to apply for a job opening. On our website, we use cookies to collect information about your online activity. Cookies are small pieces of information sent by a web server to a web browser which allows the server to uniquely identify your browser on each page. To learn more about the categories of cookies that we use on our website please review our Cookie Policy.
Your Rights
For Applicants within the European Union
You have the right to ask OpenX to rectify, block or restrict access to, complete, and delete your personal data. You can also ‚Äėport‚Äô your personal data (that is, to ask us to provide it to you in a structured, commonly used and machine readable format and to transmit it directly to another organisation). You have the right to request access to your personal data and further information about the handling of your personal data.
In some circumstances you can also object to our processing of your data and, where we have asked for consent to process your data, at any time you may be able to withdraw that consent.  Please note that withdrawing your consent will not impact the lawfulness of the processing before you withdrew the consent.
All requests will be dealt with at the earliest opportunity and any delay will be kept to a minimum. In any event, we will not exceed the statutory time limit.
However, there are exceptions to these rights. For example, access to personal data may be denied in some circumstances if making the information available would reveal personal information about another person or if OpenX is legally prevented from disclosing such information. In addition, OpenX may be able to retain data, even if you withdraw your consent, where OpenX can demonstrate that it has an alternative legal basis to process your data. We will inform you of relevant exemptions we rely upon when responding to any request you make.
If you have unresolved concerns, you have the right to complain to a data protection authority in the country where you live, where you work or where you consider that a breach of data protection has occurred. You’ll find contact details for your data protection authority here if you are an EEA based individual or here if you are a UK based individual.
We have carried out balancing tests for all the data processing we carry out on the basis of our legitimate interests. You can obtain information on any of our balancing tests by contacting us using the contact details set out below.
If you would like to exercise any of the rights listed above, please reach us here.
Transfer outside EEA
We operate globally, and in many cases need to transfer your personal data internationally, including to the United States and United Kingdom for the purposes outlined above. Your personal data will be transferred to and processed by your OpenX contracting entity.
When transferring personal data to countries outside the EEA, we comply with European Union law by using Standard Contractual Clauses approved by the European Commission or by adopting other adequate safeguards. A copy of the relevant mechanism can be obtained for your review on request by using the contact details below.
For Applicants within the United States
Depending on the jurisdiction in which you live, you may have the right to ask OpenX to delete certain of your personal data, correct inaccurate personal data, and provide you with access to your personal data.
OpenX does not share or sell personal data collected from applicants for valuable consideration.
All requests will be dealt with at the earliest opportunity and any delay will be kept to a minimum. In any event, we will not exceed the statutory time limit. OpenX will never discriminate against you for exercising your data subject rights.
However, there are exceptions to these rights. For example, access to your personal data may be denied in some circumstances if OpenX is legally prevented from disclosing such information. In addition, OpenX may be able to retain your personal data, even if you request that it delete such data, where OpenX can demonstrate that it has a legal obligation to retain it or is otherwise entitled to do so. We will inform you of relevant exemptions we rely upon when responding to any request you make.
If you would like to exercise any of the rights listed above, please reach us here or at (855) 231-3834.
Updates to this Privacy Notice
This privacy notice may be updated periodically to reflect changes in our data practices. We will post a notice on our applicable websites, applications or materials to advise of any significant changes to our Privacy Notice and indicate in the notice when it was most recently updated.
Contact Us
The data controller, business, or equivalent entity that controls how your data will be processed is the OpenX entity to which you apply. A list of all OpenX affiliated entities is available here.
If you have a privacy question, concern or request, please contact our Data Protection Officer at [email protected] or reach us here.
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Senior Data Scientist Product | Clio |
Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.
More than 150,000 legal professionals use Clio to run their legal practices. They come in all sizes, specializing in every field of law, and each one has unique needs. Clio solves many of their biggest problems out of the box, but every legal practice is different.
We are currently looking for a new Senior Data Scientist, Product, to join our Data Insights team and be embedded into one or more Product teams.
You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders to designers and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and feature roll-out—helping to clarify what value our users want and need to thrive, and how well what we build meets those user needs.
The team:
Our Product Growth team is a cross-functional team dedicated to optimizing key product funnel metrics such as acquisition, activation, monetization, and virality. You will be working as an embedded data scientist on the Product Growth team, collaborating to guide rapid iterations of hypothesis, prioritization, experimentation, analysis and roll-out (supported by our Director of Data Insights and team of data scientists).
You may also support other Product teams, and will help build a scientific culture in our Product teams, help our business grow, and help our customers succeed.
Who you are:
We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:
Passionate about driving growth empirically;
Always looking to innovate with data and explore open-ended questions;
Strategically minded and never shies away from a challenge;
Self-motivated and able to work autonomously and collaboratively;
Agile and responsive, and comfortable with constant change.
You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data Insights team for learning, career development, and company-wide data initiatives.
Here’s what you’ll need to do:
Collaborate with the Growth and Insights teams along with other Product teams to identify opportunities, develop hypotheses, and run experiments that drive growth.
Identify new questions about our business, product, and customers that lead to impactful insights.
Build predictive models to forecast the impact of specific growth and retention initiatives.
Establish requirements and best practices for event tracking, testing frameworks, and other data collection to enable new product insights in a scalable and predictable way.
Innovate new applications of statistical analysis, machine learning, and data mining to unlock opportunities in our products.
Build a scientific culture in the Product team by enabling discussions with data, disseminating best practices, and leading by example.
You should have:
4+ years applied experience in data science.
Have experience designing and iterating on experiments such as A/B tests.
Experience in product analytics working with product and user behavior data, including retention or churn analysis.
Proficiency in database modeling, SQL, and data warehousing principles.
Proficiency in developing analysis in Python (and optionally R).
Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
Excellent written and verbal communication skills.
Serious bonus points if you have:
A deep understanding of SaaS business metrics and growth drivers.
Experience with large data sets and / or user interaction data.
Experience with SaaS companies and product growth teams.
An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.)
Where your team works:
Clio is “distributed by design”. This means that Clio offers employees more choice: the opportunity to work from one of our hub offices across Canada, remotely, or a combination of both. We have invested in best-in-class tools, technology, and culture to ensure our team members are able to do their best work whether they prefer to work from an office or remotely.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.
Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers.
About Clio
At Clio, we are on a mission to transform the legal experience for all. As the world's leading provider of cloud-based legal software, we provide lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. Through the cloud, we believe that we can help create a more inclusive legal community and a more equitable legal system. We are an award-winning team that has been recognized as one of Canada’s Best Managed Companies, Canada’s Most Admired Cultures and has topped Fast Company’s list of Most Innovative Companies. In line with our mission, we’ve been up to some big things, including becoming a multi-product company, launching a $1 million COVID-19 Legal Relief Initiative, and most recently, securing a US$110M Series E funding round and a USD $1.6B valuation.This is a historic moment in the growth of legal technology! As the first legal practice management unicorn globally, and one of only a handful of Canadian unicorns, this is only the beginning. If you’ve ever wanted to do the best work of your career, while having a meaningful impact in the lives of others, then Clio is the place for you.
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Senior Data Scientist Modeling | Netflix |
At Netflix, our mission is to entertain the world. With 200+ million paid members in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages, Netflix is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at massive scale over the internet, and continuously improving and personalizing how content is presented around the globe.
We are looking for an outstanding data scientist for Member Product Data Science and Engineering. As part of our team, you will build scientific foundations for understanding the member experience, such as engagement and retention forecasts, valuation models, and customer segmentations. This is a rare opportunity to change how Netflix understands its 200+ million members. You will partner with stunning scientists, product managers, and engineers to bring these models to life. This is a high-impact role in which you will have direct influence on how product and strategic decisions are made. You will play a key role in spurring product innovations to drive engagement and retention at a critical moment in Netflix’s history.
In this role, you will:
Build models to describe the customer experience, including engagement and retention forecasts and valuation modelsApply modeling and machine learning techniques to business problems at the intersection of product and data scienceAutonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocationProactively perform data exploration on engagement behaviors to discover future opportunitiesCollaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scaleDeliver well-documented datasets, tools, and reports to key technical and business partnersPresent your research and insights to all levels of the company
We are looking for:
Experience in building real-world machine learning models with demonstrated business impactStrong statistical and modeling knowledge – ideally utilized in predictive and forecasting applications5+ years of relevant experience in statistical modeling and analysis with web-scale dataDemonstrated ability to communicate and drive product change across a variety of stakeholders Strong Quantitative Programming skills in Python or RStrong SQL skillsAbility to work independently and drive your own projectsAbility to communicate technical and statistical concepts clearly and concisely among audiences at many different levels. Embodies the Netflix values while bringing a new perspective to continue improving our culturePlus: Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative fieldPlus: Expert-level facility with forecasting techniques (e.g., ARIMA) and packages (e.g., Prophet) applied at scalePlus: Experience creating data products and dashboards such as TableauPlus: Familiarity with software engineering practice and working with APIs
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Data Scientist Employee Relations | Amazon |
DESCRIPTION
Job summaryAmazon’s Employee Relations (ER) team is looking for a Data Scientist (DS) with a demonstrated passion for building innovative new analytics, models, tools and processes for our Employees and Leaders. Are you looking for an opportunity to build in a completely new space that will stretch you and force you to demonstrate your mastery of data science, data analytics, problem solving and enterprise wide deployments? This DS will lead new pioneering ideas from concept to reality and in this role—new bold ideas are always welcome. This DS will obsess over the Amazon employee experience and the employee voice across the organization. This DS will directly apply their knowledge to dig deep and help Amazon leaders gain actionable insights. Finding, prioritizing and resolving employee experience defects will be the mission every day. Thus, the challenge of this role is that it is never complete; we will always strive to push Amazon to be the Earth’s best employer. The Data Scientist will play a critical role in advancing our mission. You will join a tight-knit team of ER professionals, including HR, operational, program, product, tech and legal leaders. You will be supporting Amazon's World Wide Corporate, Consumer and Operations (WWCC & Ops) portfolio, and have direct impact on the daily work of over 1.3M+ Amazonians. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, dashboarding and predictive machine learning tools. We’re looking for an enthusiastic technical expert and storyteller to explore the world of Amazon data to generate insights—connecting employee experiences to decision makers in a compelling way backed by data. Your focus will cover all aspects of how we learn more about our employees, uncover problems that need to be solved, and validate the impact of our solutions. You will work with other thinkers, creators, and communicators to build the skills of the entire team to create a research-driven organization. You will invent, refine solutions from start to finish—data sets, queries, models, reports, dashboards, analyses—to answer business questions while ensuring we are meeting the needs of the business and team goals. You will draw on your knowledge of data science best practices, big data management fundamentals, and analysis principles to build solutions that enable effective, data-driven business decisions. You will learn the business context and technologies behind your team’s data infrastructure and work with customers (e.g., researchers, economists, data engineers, business intelligence engineers, product managers) and other internal partners to ensure deliverables are aligned with expectations.If you love getting to the “a-ha” moment, when the solution to a customer or employee problem reveals itself in the data— let’s talk!Key job responsibilities• Own the design, development, and maintenance of scalable solutions for analyses and models.• Create innovative, sophisticated analytic models to address critical issues but also meet key business criteria (cost/risk/business impact) and key technical criteria (reliability/validity/predictability)• Lead technical aspects of experiment design in collaboration with the greater ER team.• Find and create ways to measure the workforce experience at multiple levels in the organization.• Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches• Document feasibility requirements, code comments and other technical documentation required to transfer knowledge to other technical staff and management• Write queries and have in-depth knowledge of the data available in area of responsibility. • Troubleshoot operational data-quality issues and review/audit existing ETL jobs and queries.• Collaborate on developing effective Dashboards to surface insights to senior leadership• Communicate pros and cons of analytic frameworks to the development team• Uncover drivers, impacts, and key influences on productivity and innovation outcomes• Develop predictive and optimization models for key applications• Navigate a variety of data sources, such as open text comments, survey results and free text fields inputs• Ability to work in a highly collaborative environment with peers that have a range of technical aptitudes• Maintain an understanding of the latest trends in data science and machine learning• Recommend improvements to back-end data sources for increased accuracy and simplicity.About the teamThe Employee Relations team is responsible for the identification of defects in our employee experience across all roles in the WWC & Ops organization and beyond. Finding these defects is not enough though; we are tasked with building and deploying products, tools and solutions to remove these defects. Our products and programs are always changing and we continually innovate to transform and improve the employee experience.
BASIC QUALIFICATIONS
• 3+ years of industry experience in role(s) like: Data/Business Analyst, Data Engineer, Business Intelligence, Data Scientist, or equivalent.• 3+ years of data modeling, ETL management, and data warehousing experience.• Demonstrated proficiency with data querying with SQL • Demonstrated proficiency with data modeling techniques in R or Python• Knowledge and direct experience using and deploying business intelligence reporting tools. (Quicksights, Tableau, Microstrategy, Excel etc.)
PREFERRED QUALIFICATIONS
• Masters in computer science, mathematics, statistics, economics, or other quantitative fields.• Experience working with AWS big data technologies (Redshift, S3, EMR).• Experience with Stata, SAS, or Python.• Experience in data modeling, ETL development, and data warehousing.• Familiarity with statistical models and data mining algorithms.• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operationsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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Sr Data Scientist | Amazon |
DESCRIPTION
Job summary Amazon is solving some of the world's toughest problems, and we are customer (and candidate obsessed) when it comes to scaling the hiring process for one of the planet’s largest workforces. We are asking questions like: How do we hire the right number of associates at the right time? How do we handle hundreds of thousands, or even millions of applications, while ensuring the job search process is friction-free for applicants? How do we match the right job to right associate while providing flexibility to work across different job types and time of the day? In response to those questions, our team of tenured Amazonians and industry talent is using native AWS technologies to build a new, mobile-first hiring solution from scratch. Applicants will use this system to begin their journey with Amazon from initial job search, through the interview process, to Day 1 onboarding in our fulfillment centers and beyond. Along the way, we are experimenting with the latest technologies and ML to make the hiring process better for hundreds of thousands of future Amazonians. Our hourly workforce is Amazon’s foundation – we cannot deliver for our customers without them. Join and help us build the workforce of the future. We are looking for an experienced and motivated Data Scientist (DS) with outstanding leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. The candidate will be an expert in the areas of data science, machine learning and statistics, and is comfortable facilitating ideation and working from concept through to execution. Develop and produce balanced technical and business insights that allows our product organization to understand candidate behavior and labor markets, to make product decisions that increase the efficiency of our hiring pipeline and improve candidate experience. The successful Data Scientist will have extreme bias for action needed in a startup environment. Work across multiple hiring programs and initiatives to un-earth opportunities, design and perform statistical experiments and build analytical systems/tools while striving for simplicity, and demonstrating creativity and judgment backed by statistical proof. Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology that powers Amazon high volume hiring. We seek someone who can also demonstrate a high degree of ownership, insist on the highest standards and consistently deliver superior quality results on-time. Additional Responsibilities include:
Design and run experiments, research new algorithms, and find new ways to improve hiring analytics to optimize the candidate and associate experienceResearch machine learning algorithms and implement by tailoring to business needs and test on large datasets.Partner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers.Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data qualityFoster culture of continuous engineering improvement through mentoring, feedback, and metricsManipulating/mining data from databases (Redshift, SQL Server, Oracle DW, and Salesforce),Providing analytical network support to improve quality and standard work results
BASIC QUALIFICATIONS
Masters with 5 years of relevant experience or a Bachelor’s degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, Engineering or a related quantitative field with 9 years of working experience as a Data ScientistExperience with statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, and demand modelingExcellent written and verbal communication skills. Strong ability to interact, communicate, present, and influence within multiple levels of the organization.Experience in Statistical Software such as R, Weka, SAS, SPSSExperience using one or more Python, R, Java, C++ VBA, MATLAB, programming languagesAdvanced knowledge of SQL and ETL jobs and optimize complex queriesProficiency with BI technologies and TABLEAU/R Shiny/Dash or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc.
PREFERRED QUALIFICATIONS
PhD in Artificial Intelligence, Computer Science, Statistics, Applied Math or a related fieldPrevious experience in a ML or data scientist role with a large technology companyExperience in an operational environment developing, fast-prototyping, piloting and launching analytic productsExperience in writing academic-styled papers for presenting both the methodologies used and results for data science projects.Experience with AWS services (Redshift, S3, EC2, Lambda, SNS/SQS, RDS, Aurora) preferred.Ability to distill informal customer requirements into problem definitions, quantify improvement in customer experience or value for the business resulting from research outcomes, dealing with ambiguity and competing objectives.Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.Familiarity with recruitment, hiring and operations processes used in Amazon fulfillment network.
The base pay range for this position in Colorado is $120,900 - $160,000 a year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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Data Scientist | Amazon |
DESCRIPTION
Job summaryExcited to work at cutting edge of Machine Learning (ML) and Internet of Things (IoT)? How does prospect of using massive amounts of data to develop Machine Learning and Deep Learning (DL) models sound? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? The problems we solve are real, with tangible customer impact. The work involves working with some of largest global enterprises and help them solve previously unsolved problems with Machine Learning and Artificial Intelligence. We are looking for a passionate and talented Data Scientist who will collaborate with other scientists and engineers to develop computer vision and machine learning methods and algorithms to address real-world customer use-cases. You'll design and run experiments, research new algorithms, and work closely with talented engineers to put your algorithms and models into practice to help solve our customers' most challenging problems. AWS Professional Services is a unique team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. We obsess over finding effective and scalable ways to solve customers demanding problems. If you thrive in a fast-paced environment, you’ll meet your match with us, as you will be part of a vibe of constant improvement. We don’t like to sit still, which is why we always treat every day like the first day. A day to make more good things happen for our customers. That's the kind of spirit that drives our success and you could be part of it. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Responsibilities: · Understand the customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . · Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. · Use Deep Learning frameworks like MXNet, PyTorch, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models. · Work with data architects and engineers to analyze, extract, normalize, and label relevant data. · Work with our DevOps engineers to help our customers operationalize models after they are built. · Assist customers with identifying model drift and retraining models. · Research and implement novel ML and DL approaches, including using FPGA. This position can have periods of up to 10% travel.This position requires that the candidate selected be a US Citizen.
BASIC QUALIFICATIONS
Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experienceExperience with ML fields, e.g., natural language processing, computer vision, statistical learning theory5+ years of industry experience in predictive modeling, data science, and analysisExperience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning modelsExperience writing code in Python, R, Scala, Java, C++ with documentation for reproducibilityExperience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop modelsExperience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
PREFERRED QUALIFICATIONS
Master’s degree of PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.Publications or presentations in recognized ML journals or conferencesDeep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organizationDemonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
The pay range for this position in Colorado is $130,000-178,000(hr./yr.); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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Senior Data Scientist Aws Support Capacity Planning | Amazon |
View transcript
DESCRIPTION
Job summary Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization? At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management. AWS Support Engineering Capacity Planning team is looking for a strong, talented Data Scientist to model contact and volume forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and optimize cost. In this role, you will partner with data engineering, tooling team, operations, training, workforce management and finance teams, driving optimization and prediction solutions across the network influencing the long-term strategy of the business. We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects, forecasting solutions, identify data requirements, build methodology and tools that are statistically grounded.You are an expert in the areas of data science, forecasting, optimization, machine learning and statistics, and is comfortable facilitating ideation and working from concept through execution. You are customer obsessed, innovative, independent, results-oriented and enjoys working in a fast-paced growing organization. An interest in operations, process improvement is helpful. The ability to embrace this ambiguity and work with a highly distributed team of experts is critical. While this is a small team, there is opportunity to own globally impactful work and grow your career in technical, programmatic or people leadership. You will likely to work in Python or R, building forecasting, predictive and optimization models. Your problem solving ability, knowledge of data models and ability to drive results through ambiguity are more important to us. About the teamAbout UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
BASIC QUALIFICATIONS
· A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.) or equivalent experience · 6+ years of industry experience in predictive modeling, forecasting, data science and data analysis · Demonstrated experience using one or more data science programming language (Python, R, etc).
PREFERRED QUALIFICATIONS
· Experience processing, filtering, and presenting large quantities (Millions of rows) of data · Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling · Experience applying various machine learning techniques, and understanding the key parameters that affect their performance · Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning) · Experience in Data Analysis programming such as R, Python, Scala, Spark, etc. · Experience in cloud deployment tools such as AWS S3, EC2, Docker, Kubernetes etc. · Experience in Linux/Unix shell scripting. · Proficiency with TABLEAU or other web based interfaces to create graphic-rich customizable plots, charts data maps etc. · Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL) · PhD in Artificial Intelligence, Computer Science, Statistics, Applied Math or a related field · Previous experience in ML, data scientist or optimization engineer role with a large technology company · Familiarity with the processes used in Amazon fulfillment network · Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products · Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects. · Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations · Experience in creating data driven visualizations to describe an end-to-end system · Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The base pay range for this position in Colorado is $120,900-160,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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Senior Data Scientist Ai Data Team | Amazon |
View transcript
DESCRIPTION
Job summaryThe AI Data Team in Amazon Web Services (AWS) is looking for a Senior Data Scientist with a passion for developing innovative methods to maximize the power of natural language data. This position is an opportunity to apply your expertise in a challenging but supportive environment. The position may be remote, with a preference for Santa Clara, Seattle, or New York City. We work in distributed teams, and strengthen our connections by traveling a total of about one week per quarter for in person meetings.The mission of the AI Data Team is to engineer the datasets critical to the success of AWS’s machine learning services. From chatbots to subtitles to search results and beyond, these products support dozens of languages and impact millions of people every day. We are a group of language engineers, linguists, data scientists, data engineers, and program managers, and we partner closely with the science, engineering, and product teams. We are customer obsessed and committed to delivering results with the highest quality and integrity.As a Senior Data Scientist, you will start by diving deep into a high profile project to launch a new product offering. You will consult with stakeholders in science, engineering, and product teams to understand machine learning model development plans, and collaborate with language engineers to strategize on data collection. You will determine the appropriate metrics for data analysis and quality checks on data annotations, considering domain gaps, data bias, and data noise in your analysis. You will document and present results to the project team using effective data visualization.You will then broaden your expertise to understand the AI Data Team’s range of methods and general challenges for producing or acquiring data, and for generating high quality labels. You will identify opportunities to advance the team’s capabilities, staying up to date on developments in the field of data-centric AI, and experimenting with new techniques for data cleaning, labeling, and augmentation. You will share your results in written documents and presentations to the data team and stakeholders. This expertise will enable you to organize and lead large data team initiatives to scale these methods for ongoing data collection and annotation. You will collaborate with data engineers and language engineers to design and build technical assets such as data warehousing and analytics tooling, and write Python packages to provide metrics and insights across datasets that ensures the data is discoverable and reusable.Key job responsibilities* Lead the development of metrics and analytics for natural language data collection, to ensure quality and effectiveness of data and annotations for training, testing, and benchmarking machine learning models.* Design and write Python packages for analyzing natural language datasets, including domain gaps, data bias, and data noise* Lead large initiatives to develop and scale innovative techniques for data cleaning, labeling, and augmentation* Contribute to data warehousing and analytics tooling, writing code to provide metrics and insights across datasets that ensures the data is discoverable and reusable
BASIC QUALIFICATIONS
* MS or PhD in a quantitative field such as computer science, mathematics, or computational linguistics* 5+ years hands on experience as a data scientist in an industry setting, including statistical modeling and data visualization* Proficiency in Python* Experience with natural language data and NLP techniques* Experience working with stakeholders such as product and engineering teams* Experience driving complex initiatives
PREFERRED QUALIFICATIONS
* Experience in developing and evaluating data annotation and data quality metrics* Experience using AWS tools and services* Strong written and verbal communication skills, with an ability to present complex technical information in a clear and concise manner to a variety of audience*The pay range for this position in Colorado is $128,400 - $149,800 yr.; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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Data Scientist Aws Support Capacity Planning | Amazon |
View transcript
DESCRIPTION
Job summary Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization? At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management. AWS Support Engineering Capacity Planning team is looking for a strong, talented Data Scientist to model contact and volume forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and optimize cost. In this role, you will partner with data engineering, tooling team, operations, training, workforce management and finance teams, driving optimization and prediction solutions across the network influencing the long-term strategy of the business. We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects, forecasting solutions, identify data requirements, build methodology and tools that are statistically grounded.You are an expert in the areas of data science, forecasting, optimization, machine learning and statistics, and is comfortable facilitating ideation and working from concept through execution. You are customer obsessed, innovative, independent, results-oriented and enjoys working in a fast-paced growing organization. An interest in operations, process improvement is helpful. The ability to embrace this ambiguity and work with a highly distributed team of experts is critical. While this is a small team, there is opportunity to own globally impactful work and grow your career in technical, programmatic or people leadership. You will likely to work in Python or R, building forecasting, predictive and optimization models. Your problem solving ability, knowledge of data models and ability to drive results through ambiguity are more important to us. About the teamAbout UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
BASIC QUALIFICATIONS
· A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.) or equivalent experience · 3+ years of industry experience in predictive modeling, forecasting, data science and data analysis · Demonstrated experience using one or more data science programming language (Python, R, etc).
PREFERRED QUALIFICATIONS
· Experience processing, filtering, and presenting large quantities (Millions of rows) of data · Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling · Experience applying various machine learning techniques, and understanding the key parameters that affect their performance · Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning) · Experience in Data Analysis programming such as R, Python, Scala, Spark, etc. · Experience in cloud deployment tools such as AWS S3, EC2, Docker, Kubernetes etc. · Experience in Linux/Unix shell scripting. · Proficiency with TABLEAU or other web based interfaces to create graphic-rich customizable plots, charts data maps etc. · Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL) · PhD in Artificial Intelligence, Computer Science, Statistics, Applied Math or a related field · Previous experience in ML, data scientist or optimization engineer role with a large technology company · Familiarity with the processes used in Amazon fulfillment network · Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products · Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects. · Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations · Experience in creating data driven visualizations to describe an end-to-end system · Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds.The base pay range for this position in Colorado is $119,300-160,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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Senior Data Scientist | Disney |
Job Summary:
We are looking for a Senior Data Scientist to join our newly created Data & Intelligence team in the DMED Technology’s Content Platforms group.
The data scientist will join a team of engineers and product managers to deliver the world’s most innovative, automated, and technologically advanced content platform through the integration of predictive models and analytical insight.
The core contributions of the Senior Data Scientist will consist of technically define problems gathered from stakeholders, define experimentation setups, research data driven solutions to the problems identified, provide technical mentorship to other data scientists and communicate results to stakeholders.
Responsibilities:
Serve as a technical and leadership mentor to the team. Encourage and set the example for collaboration across functions. Forge solid relationships with peers in other disciplines.Design and implement models and methodologies on variety of datasets to achieve operational excellence and personalization efforts for our digital product lineup Make strategic recommendations on data collection, integration and retention incorporating business requirements and knowledge of best practices. Become and stay an expert in current and emerging technologies and tools.
Basic Qualifications:
Proven excellence in leading and contributing to Data Science projects in a commercial settingProven track (patents, publications) of pushing state of the art in the data science / machine learning space.Strong communication, interpersonal skills and fortitude to get stuff doneExperience in leading discovery processes with stakeholders to identify the business requirements and the expected outcomeCapability to educate the organization both from technical and the business perspectives on new approaches, such as testing hypotheses and statistical validation of resultsProven experience providing technical mentorship to junior team membersDemonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research Comfortable working in a team environment using Agile methodologiesExpert level in machine learning architecture and model development, ideally contributing to one of the main machine learning frameworks.Up to date knowledge on PyTorch and packages in its ecosystem (3+ years)Strong working knowledge of statistical frameworks (Pandas, NumPy/SciPy, scikit-learn) (5+ years)Strong working knowledge of machine learning frameworks (PyTorch, TensorFlow) (5+ years)Mastery in at least one high-level programming language such as Python or Scala (7+ years)Expert level in advanced analytic and statistical modelingExperience monitoring the full life cycle of modelsMastery in SQL and experience with NoSQL databasesExperience with human-in-the-loop machine learning solutionsExperience with cloud platforms such as AWS, Google Cloud, AzureExperience with DockerExperience with ETL pipelines
Preferred Qualifications:
Experience with distributed processing relevant technologies like Kafka and HadoopExperience crafting visualization toolsMedia Industry experience
Required Education
M.S. degree in the fields of Economics, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields
Preferred Education
Ph.D. in the fields of Economics, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields
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Data Scientist | Disney |
Do you love the art of using data to solve complex business problems? We do too – and would be excited to have you join our team at Walt Disney World!
Our mission as part of the Commercial Strategy organization is to put our data to work and apply quantitative techniques to discover previously unknown insights about our Guests and business.
We get to work directly with the major decision-makers at Disney who shape the Walt Disney World experience. Through our insights, we help form and improve Disney products and offerings.
The Data Scientist reports to the Lead Data Science and is an individual contributor role.
Responsibilities/You Will
Pursue innovation: Research current data engineering, analytical solutions, capabilities, and technologies and translate that research into usable and sustainable solutions for usersPut your skills to the test: Perform data collection, data mining, build data science frameworks and toolsDevelopment best practices: Apply software engineering best practices to analytics code (ex: version control, testing, documentation, continuous integration, and continuous deployment)Collaborate with product and business stakeholders: Partner with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture.
Basic Qualifications/You Will Have
3+ years of experience with a programming language for data science like Python, Java, etc.Experience with SQL and using databasesExperience developing practical machine learning solutionsDesire to collaborate with other data scientists, data engineers, analysts, and business partnersExperience explaining how models are used and algorithms behave to both technical and non-technical audiencesExperience gauging the complexity of machine learning problems and a willingness to implement simple approaches for quick, effective solutions
Preferred Qualifications
Master's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)Strong expertise with Python and libraries such as scikit-learn and SciPyExperience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, regression testing, testing, and deploymentFamiliarity with automated deployment, AWS infrastructure, Docker, or similar containers
Required Education
Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)
This role is considered hybrid, which means you will work a portion of their time on-site from a Company designated location and the remainder of their time remotely.
Benefits: Medical/dental/vision insurance, 401(k) employer match, and educational reimbursement.
Walt Disney Parks and Resorts U.S., Inc. is an equal opportunity employer. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changi
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Data Scientist Entry Level | Revenue Analytics |
Are you curious about applying analytics to business problems and interested in a career in data science? In this role you’ll contribute right away by digging into data to understand patterns in our customer’s business, set up reporting on key success metrics, and uncover opportunities for improving our core algorithms. Plus, over time we’ll train you on our advanced analytics and machine learning models so you can grow into a full data science role.
Day in the Life
Perform rigorous data validation and conduct deep dive analysis to understand each customer’s unique business needs to drive product configuration decisions (using SQL or Python). Examples include:
o Analysis to understand seasonal patterns in a customer’s demand
o Analysis to understand a customer’s current pricing volatility
o Analysis to identify markets or segments with largest opportunities for revenue growth
Net out analysis results in business, non-technical terms, providing details into key assumptions, business impact, and recommendations for next steps
Validate outputs of optimization and machine learning models to ensure that they meet accuracy and business reasonability expectations, updating configurations as needed based on findings
Influence product development roadmap by evaluating the impact of potential new analytical features on product performance
Collaborate with cross‐functional peers to implement transformational products for customers
Who You Are
Bachelor’s degree with strong academic credentials required, Master’s optional (Engineering, Economics, or Mathematics preferred)
Creative analytical capabilities and problem-solving skills, leveraging data analysis tools (proficiency in SQL or Python required)
Intellectual curiosity and eagerness to apply rigorous analytics to business problems
Demonstrates commitment to personal growth, achieving personal goals, and growing knowledge in the areas of advanced analytics and Machine Learning
Set a high standard for your work and hold yourself accountable for achieving those standards
Ability to proactively manage multiple commitments and tasks across multiple customers
Excels in a highly collaborative team environment with a diverse set of teams and perspectives
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with Hospitality, Media, Transportation, and Manufacturing and Distribution companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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Data Scientist | Actblue |
WHO WE ARE:
ActBlue is a nonprofit that builds tech and infrastructure for Democratic campaigns, progressive-aligned causes, and people trying to make an impact in order to fuel long-term, people-powered change. If you’ve ever given online to a Democrat or progressive organization, chances are you’ve used our powerful online fundraising platform.
We put power in the hands of small-dollar donors and help thousands of groups — from presidential candidates to environmental organizations — build grassroots movements. We envision a democracy where everyone looking to make progressive people-powered change can easily and effectively deploy their resources, energy, and creativity to shape our country and futures. Each and every one of us, from the political activists to the tech innovators to the customer service pros, is fully committed to our mission.
THE OPPORTUNITY:
Members of the Data Science Team at ActBlue act as subject matter experts on all things small-dollar donor, from conversion rates on our contribution forms to trends in campaign finance data. We empower teams across the organization to magnify the impact and improve the experience of small-dollar donors, create data products for the campaigns and organizations using our tools, and serve as advocates for the small-dollar donor movement.
Data Science is part of a larger data team alongside the Data Platform and Data Engineering Teams. Together we provide data services and products to ActBlue and its users using SQL (PostgreSQL, Redshift, MySQL), R, Python, dbt, and Looker.
We’re hiring for multiple openings and are open to all levels of experience!
WHAT YOU WILL DO:
Be of service - work with colleagues and external partners to answer questions about ActBlue’s tools and the impact of small-dollar donors, surfacing trends and insights from domain-specific data (i.e. feature analytics for product teams, financial and operational analytics, and campaign finance data).
Build shared power - strengthen analytical capacity across the organization, including improving reporting workflows, assessing and collecting requirements for new analytics products, and training end users on using internal data products.
Practice curiosity - be proactive in identifying insights that have the potential for positive impact, and communicating those insights to teammates.
Nurture trust - effectively and empathetically communicate the knowns and unknowns of our analyses and data products to teammates across the organization.
Adapt with intention - manage and prioritize multiple requests and projects, some with tight deadlines and some with loosely defined instructions and desired outcomes.
Foster belonging - commit to being a member of a diverse and inclusive team, provide mentorship, offer respectful feedback, and celebrate team wins.
Take care - serve as a conscientious steward of our data, being as thoughtful with donor and user data as you would hope someone would be with your own.
WHAT YOU BRING:
Dedication to our mission of empowering small-dollar donors and helping nonprofits, progressive organizations, and Democratic campaigns build better fundraising programs.
Intermediate+ proficiency with SQL: SQL tuning for query performance, assisting in designing ETL/ELT pipelines.
Beginner+ proficiency with R (tidyverse, ggplot2) or Python (pandas, matplotlib).
Ability to use a combination of exploratory analysis, A/B testing, and multivariate and time series analysis to discern patterns from outliers.
Experience with business intelligence tools: from building out data models to training end users.
Excellent communication skills and ability to confidently share insights with various audiences.
Follow us on Twitter @ActBlue and our blog
LOCATION AND COMPENSATION:
This posting is for a full-time, remote, salaried position. ActBlue is currently authorized to support remote work employees in California, Colorado, Florida, Georgia, Hawaii, Illinois, Maryland, Massachusetts, Michigan, Minnesota, New Hampshire, New York, North Carolina, North Dakota, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington D.C., and Wisconsin.
We offer a competitive salary and a generous compensation package, which includes the benefits listed below.
BENEFITS:
Flexible work schedules and an unlimited time-off policy
Fully paid and trans-inclusive health, dental, and vision insurance for employees and their families
Automatic 2% 401K contribution, plus up to 6% match
Three months paid parental leave for all new parents, adoptions included; 4 weeks of a fully paid flexible work schedule; plus an additional one week of paid leave and an additional one week of flexible work schedule for every full year the employee has worked for ActBlue
Commuter or home-office benefits, including a $1,000 home-office setup allowance for all new full-time remote employees
Additional perks including quarterly snack deliveries and digital subscriptions to the Boston Globe & New York Times
ActBlue is unable to sponsor work visas at this time.
INCLUSION STATEMENT:
Women, people of color, LGBTQIA2S+ individuals, and members of other minority or marginalized groups are strongly encouraged to apply. ActBlue is an equal opportunity employer and does not discriminate against candidates on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, or veteran status.
ActBlue is also committed to providing reasonable accommodations to individuals with disabilities throughout the interview and employment process, including using our online system to apply for a position.
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Data Analytics Data Science Lead | Purpose |
Job Description
ABOUT PURPOSE
Purpose builds and supports movements to advance the fight for an open, just, and habitable world. We use public mobilization and storytelling to help leading organizations, activists, businesses, and philanthropies engaged in this fight, and we create campaigning labs and new initiatives that can shift policies and change public narratives when it matters most.
To do this, Purpose brings together world-class talent from the world of creatives, content development, storytelling, campaigning, grassroots organizing, and political strategy to build new creative campaigning models.
Guided by smart strategy and powered by participation, our work reframes issues, engages new audiences, shifts public discourse, and ultimately drives targeted action and creates lasting impact. Join the team that made all this work!
ABOUT THE ROLE
Purpose is seeking an experienced Data Analytics / Data Science Lead who can design and execute data analysis and reporting approaches to support social impact campaigns across multiple complex issues areas. The Data Analytics / Data Science lead will be responsible for technical design and development of data products and reports, generating and communicating evidence-based insights to drive project success. This person will collaborate closely with our strategy and campaigns teams, collaborate with external partners, and contribute to business development as part of the Impact Measurement & Learning team.
The ideal candidate for the Data Analytics / Data Science Lead role is an agile, meticulous problem solver who understands how to design solutions that are grounded in rigorous technical and analytic methodologies. Your work demonstrates a strong grasp of data and data systems, analytic skills and methods, and attention to detail.
If these are the things that get you up in the morning, we want to hear from you! Please submit your resume and a cover letter that gives us insight into your passion and qualifications for the role.
This full time staff position and reports to the Global Heads of Impact Measurement and Learning. This role has an option to be fully remote, or to work out of any Purpose office.
This full-time exempt staff position is offered at the Manager, Associate Director. or Director tier, depending on experience. Salary range is $80,000 - $130,000 per year plus benefits, commensurate with experience.
Applications close May 30, 2022
RESPONSIBILITIES
Design and execute high-value data analytics and data science activities in a fast paced environment, utilizing rigorous research and data collection methods to demonstrate project success and broader impact through clear and concise analysis and reporting. Must be creative and flexible in designing and deploying novel approaches to meet project and client needs.
Assess the effectiveness of data sources and data-gathering techniques, and implement policies that improve user experience and increase efficiency of data operations across Purpose. Build tools and processes to collect, manage, interrogate and extract data to supply tailored reports to colleagues, customers or Purpose staff.
Provides systemized, consistent quality control of campaign data and other data sources to ensure successful implementation of data protocols. Designs analytic approaches, workflows and reports to support project data analysis and reporting needs; maintains systems and protocols to maintain best practices.
Collaborate with and guide project teams to pursue the best path towards data analysis goals and objectives. Builds relationships and facilitates collaboration with multiple internal and external stakeholders; maintains positive relationships even under difficult circumstances; sensitive to the impact of decisions on clients, partners, and team.
Collaborate with Global Heads of Function and other IML team members to build out data analysis / data science best practices, tools and infrastructure across Purpose.
Confidently presents and facilitates discussion of data analysis results and data products to clients, partners, and other non-technical audiences in a clear and well-structured manner; and able to engage in related and broader project context discussion and questions.
Proactively supports business development opportunities, including developing an approach to a client prospect's challenge, and participating in BD meetings or proposal development.
Embodies Purpose internal values on a day-to-day basis, demonstrates professionalism in all facets of work, promotes teamwork by maintaining positive & respectful relationships while contributing to team progress.
Ensure that our approaches to research, data analysis, and measurement & evaluation center diversity, equity, and inclusion while also meeting project needs, and furthers our commitment to social impact for good.
ABOUT YOU - You would be a great fit for this role if you have:
~5 years of relevant work experience in data analytics or data science especially related to social impact, advocacy, or progressive causes.
A passion for issue-based or political activism and a belief in Purpose’s work combining storytelling, evidence, and innovation to inspire people to remake the world.
A proven ability to guide and design research on projects to help achieve strategic goals, and a strong understanding of how to incorporate measurement & evaluation throughout all aspects of a campaign
Programming skills in Python, R, SQL, STATA, or other statistical tools are required. Data engineering or primary research design experience is a plus.
Fluency with digital tools, platforms and tactics including social media data collection, analytics and reporting a strong plus.
Flexible and creative in implementing and overseeing research or testing, including conducting research analysis and synthesizing insights that inform project planning and program design.
The ability to work well under pressure, maintaining quality and attention to detail under real-world deadlines, in a fast-paced agency or start-up setting. High bar for quality, rigor and integrity.
Demonstrated track record and/or interest in social sector/social impact organizing and advocacy.
Bilingual fluency in a foreign language is a plus.
Purpose takes on some of the biggest challenges in the world, which affect people of different identities and backgrounds in different ways. We are stronger and most effective with a diverse team leading the charge and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. As an equal opportunity employer, we welcome the unique contributions that individuals bring in terms of their education, opinions, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, color, religion, disability, sexual orientation and beliefs.
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Data Scientist | Beyond |
Here at Beyond, we are passionate about helping short-term rental property managers and hosts grow their businesses. Backed by the world-class Bessemer Venture Partners, we have grown from a bootstrapped company of a few to the market leader in our category. We attribute our success to our belief that the people are the most important part of a business and our commitment to being a fantastic place to work.
It's with that in mind that Beyond is looking to add a Data Scientist to our growing team. Reporting to Engineering Manager - Data/Algo, you will have the opportunity to leverage statistical and machine learning techniques to innovate on the core product at Beyond - our dynamic pricing algorithm for short term rentals. You’ll work closely with experts from Revenue Management as well as data engineers to identify, design, test and implement improvements using a modern data processing workflow and tools.
Before reading further...
Beyond is passionate about diversity and cultivating our team’s potential. If you’re hungry for a good opportunity, but don't meet every point in this job description, please apply anyway!
As our Data Scientist, you'll be responsible for:
Working with Revenue Management to identify and explore opportunities to improve our pricing algorithm in ways that target key, meaningful metrics.
Using SQL and other tools to collect and analyze data using large scale (TB) datasets
Leverage statistical methods (such as time series decomposition, abnormal detection, loess regression for non-linear smooth curve, etc.) and machine learning and AI techniques (such as random forest model, gradient descent optimization, k-means unsupervised classification, etc.)
Implement Jupyter notebooks with Viola to implement and validate solutions including visualizations
Work with data engineers to handle data processing needs and shepherd algorithm changes into the production environment
So what kind of person are we looking for in this role? The person who will be successful in this role will be:
Passionate - you care about data science and an understanding of the practical application of data science to delivering value
Curious - you have a nose for understanding the business problems and potential underlying considered changes to our pricing algorithm
Communicative - you can communicate clearly and honestly with stakeholders on the revenue management side as well as the data engineering side.
Enthusiastic - you enjoy working in a fast-paced, highly effective startup environment, where work is focused on delivering value for customers
Now that we’ve told you what the job looks like, here are the qualifications we're looking for in a candidate:
BS/BA in computer science, mathematics or other relevant field. Advanced degree in a quantitative field strongly preferred.
3 years experience in a data science role
Expert in SQL
Proficient in Python, or proficient in at least one other popular DS programming language (i.e. R) and a willingness and ability to quickly ramp with Python
Demonstrated ability to produce models using statistical methods and machine learning to deliver DS solutions to business problems
Ability to understand and execute on business objectives and problems that underlie data science initiatives
Excellent communication and collaboration skills - you must be able to connect business/revenue management with data engineering to deliver new work into production
Experience with revenue management is a huge plus!
Company Values:
We are serious about our core values - We Care, We Are On the Same Team, We Inspire Trust, We Go Beyond, We Ship It - if those resonate with you, and you're ready to work with a team that lives and breathes those values, we want to hear from you.
Benefits:
Beyond offers a wide variety of benefits like: stock options, unlimited PTO, work from home office stipend, private health insurance, parental leave, wellness programs, a learning and development stipend and more! You can learn more about our benefits by visiting our careers site!
We Care about Diversity, Equity and Inclusion:
Beyond is committed to building a workplace that attracts humans of all genders, ethnicities, backgrounds, statuses and lifestyles. At our core, we care about our people and encourage every employee, partner and applicant to share their whole self with us. We are respectful of and empathetic towards different viewpoints, and believe that our ability to help short term rental managers succeed relies on us building a dynamic and diverse team. Whoever you are, you can Belong @ Beyond.
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Sr Data Scientist Product Analytics | Spring Health |
Our mission: eliminate every barrier to behavioral health.
Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person — whether that’s meditation, coaching, therapy, medication, and beyond.
Today, Spring Health serves more than 200 companies, from start-ups to multinational Fortune 500 corporations, and is a preferred mental health provider to companies like General Mills, Guardian, Bain, and Instacart. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.
We are looking for a Senior Data Scientist to drive analytics efforts targeted at enhancing end user experience within Spring Health’s software applications. You will be embedded in a product development team focusing on end user (Spring Health members’ or caregivers’) experiences and cover the entire feature launch cycle - from uncovering experience improvement opportunities to synthesizing actionable learnings and possible next steps post-launch. This role is highly collaborative: you will work closely with your product management, design, engineering, and user research counterparts and help the team connect the dots between product initiatives and business outcomes.
What you’ll be doing
You will collaborate with product development leads on defining key indicators of the quality of our member and caregiver experience and uncovering opportunities to improve these metrics
You will ideate and design A/B tests to evaluate new product features
You will define product telemetry that enables seamless reporting and analysis
You will build necessary data models and insightful, automated dashboards necessary to track key product metrics
You will actively participate in prioritization and roadmapping discussions
You will lean into appropriate advanced methods, from advanced experimentation techniques to causal inference and statistical modeling, for deep-dive analyses around user interaction patterns
You will participate in the development of data-centric product features
What we expect from you
Passion for changing the face of mental health care and excitement about Spring Health’s mission to remove all barriers to mental health
5 years of professional experience in a data role (data analyst, product analyst, data scientist, or similar), and at least 2 years of experience working with and defining product or growth metrics
Previous exposure to experimentation or hypothesis testing
Previous exposure to product development/design or a strong desire to learn all about it
Proficiency with SQL and a statistical analysis language (R/Python)
Experience working with BI tools (e.g. Looker, Tableau, Metabase) and product analytics SaaS tools (e.g. Mixpanel, Amplitude, Heap, etc.)
Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business users
Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
Passion for successfully navigating ambiguous problem areas and learning new approaches
Proximity to NYC or willingness to travel once a quarter to NYC
What we'd love to see (Bonus):
Experience in defining product logging/telemetry and collaborating with engineering team on refining requirements and QA
Experience with data modeling for reporting and analysis using tools such as dbt or similar
Experience collaborating with user research teams
Previous experience working in a fast-paced environment
#LI-BW1
Benefits of working at Spring Health:
Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
Access to Spring Health’s platform which includes (10) free therapy sessions
Unlimited time off in addition to (12) paid holidays
16-18 weeks paid parental leave
$500 per year Wellness Reimbursement
Creating a culture you can thrive in:
Flexible remote and hybrid work style arrangements
Calm Fridays to encourage meeting & distraction free days
Donation matching to support your favorite causes
Employee resource groups
Supporting you financially through:
Competitive mix of salary and stock options
Employer sponsored 401(k) match
In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously:
Members Come First: We are genuine member advocates.
Move Fast to Change Lives: We build with urgency and intention.
Take Ownership: We extend trust and hold ourselves accountable.
Embrace Diverse Teams & Perspectives: We find strength in the diversity of cultural backgrounds, ideas, and experiences.
Science Will Win: We will achieve impact by innovation and evidence based frameworks.
Candor with Care: We are open, honest and empathetic.
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
#LI-remote
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Data Scientist Customer Success | Clio |
Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.
We are currently seeking a Data Scientist, Customer Success to join our Business Operations department in Burnaby, Calgary, or Toronto. This role is also available to remote candidates across Canada, excluding Quebec.
More than 150,000 legal professionals use Clio to run their legal practices. They come in all sizes, specializing in every field of law, and each one has unique needs. Clio solves many of their biggest problems out of the box, but every legal practice is different.
Our Customer Success team is critical to addressing our customers' unique needs. The team helps customers to onboard, use Clio effectively, and get questions answered. There are a variety of interesting data-related challenges that the team faces, including understanding patterns in customer support issues, how to provision the team to support customers effectively, what we can do to retain customers and help them thrive (which differs by type and size of customer), and how we can better understand “the voice of the customer” and embed it in our company’s efforts.
We are seeking a Data Scientist to be embedded into our Customer Success team—someone who thrives on both analytical challenges and working closely with customer-facing professionals. You will collaborate with everyone from business leaders to customer onboarding and support professionals to guide rapid iterations of hypothesis, prioritization, experimentation / analysis and roll-out. You will help build a scientific culture in our Customer Success team, help our business grow, and help our customers succeed. You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data Insights team for learning, career development, and company-wide data initiatives.
The Customer Success team is a cross-functional team with a strong focus on understanding customers, their goals, and their pain points, and helping them to do well. We thrive on helping our customers expand and grow their practices, and find added value in the variety of tools, products, and features we offer. We are so excited to welcome a data scientist to our group!
Who you are:
We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who thrives in a rapid-growth, high-velocity environment and likes collaborating with people just as much as working with code and data. We’re looking for an innovator and a thought leader who lives and breathes our values. We’re looking for someone who is:
Passionate about driving customer and business success empirically.
Strategically minded and business savvy.
Always looking to innovate with data and explore open-ended questions.
Self-motivated and able to work autonomously and collaboratively.
Agile and responsive, and comfortable with constant change.
Here’s what you’ll need to do:
Collaborate with the Customer Success team to identify opportunities, develop hypotheses, and run experiments that drive customer success and growth.
Ensure that the data needed for our hypotheses and experiments is available and usable (event tracking, data modeling).
Identify new questions about our business, product, and customers that lead to impactful insights.
Build predictive, churn, and other models.
Establish requirements and best practices for event tracking, testing frameworks, and other data collection to enable new insights in a scalable and predictable way.
Adapt techniques in visualization, statistical analysis, machine learning, and data mining.
Build a scientific culture in the Customer Success team by enabling discussions with data, disseminating best practices, and leading by example.
You may be a fit for this role if you have:
3+ years applied experience in data science.
Experience working with business problems and business analytics. We are looking for someone who understands and is interested in how a business operates.
Experience in product analytics working with product and user behavior data, including retention / churn analysis.
Proficiency in database modeling, SQL, and data warehousing principles.
Proficiency in developing analysis in Python (and optionally R).
Strong team player mindset, while able to work under own initiative and prioritize time and tasks effectively.
Excellent written and verbal communication skills.
Bonus points if you have:
A deep understanding of SaaS business metrics and growth drivers.
Experience working with smaller datasets (e.g. Bayesian approaches) and making effective inferences using the volume of data available.
Experience with customer interaction data and processes.
Degree(s) in a relevant quantitative discipline (computing science, statistics, mathematics, etc.)
Where your team works:
Clio is “distributed by design”. This means that Clio offers employees more choice: the opportunity to work from one of our hub offices across Canada, remotely, or a combination of both. We have invested in best-in-class tools, technology, and culture to ensure our team members are able to do their best work whether they prefer to work from an office or remotely.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.
Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers.
About Clio
At Clio, we are on a mission to transform the legal experience for all. As the world's leading provider of cloud-based legal software, we provide lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. Through the cloud, we believe that we can help create a more inclusive legal community and a more equitable legal system. We are an award-winning team that has been recognized as one of Canada’s Best Managed Companies, Canada’s Most Admired Cultures and has topped Fast Company’s list of Most Innovative Companies. In line with our mission, we’ve been up to some big things, including becoming a multi-product company, launching a $1 million COVID-19 Legal Relief Initiative, and most recently, securing a US$110M Series E funding round and a USD $1.6B valuation.This is a historic moment in the growth of legal technology! As the first legal practice management unicorn globally, and one of only a handful of Canadian unicorns, this is only the beginning. If you’ve ever wanted to do the best work of your career, while having a meaningful impact in the lives of others, then Clio is the place for you.
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Lead Data Scientist | Petal |
About Petal and Prism Data
Prism Data is leading the future of cash flow underwriting, which directly addresses the problems faced by millions of Americans who cannot access fairly priced, mainstream credit products through legacy (credit report-based) underwriting. Prism’s infrastructure and API platform analyzes and risk-scores consumers based upon their banking transactional data - enabling banks, fintech lenders, insurers, and others to have a more holistic, real-time view in how consumers earn, save, and spend - so they can serve more customers, build better products, and make smarter risk-based decisions.
Prism was launched in 2021 by Petal, which pioneered the use of automated cash flow underwriting in consumer credit over 6 years ago, as a means of providing consumers, especially those underserved by the mainstream financial system, access to safe and affordable credit.
Prism has emerged from its successful 2021 private beta. We're building out our first "core team" to commercialize the solution and expand access to businesses broadly.
We're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. We welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.
The Lead Data Scientist role
We are working on revolutionizing credit through usage of personal cash flow in underwriting. Achieving this objective requires best in class models that are continuously being improved making the data science function critical for this mission. These models will support our risk underwriting, acquisition and customer management teams. These models will allow our clients to improve their underwriting, acquisition, and customer management processes.
Key responsibilities:
Develop insights and data visualizations to solve complex problems and communicate ideas to internal stakeholders.
Build predictive models from development through testing and validation for customer acquisition, underwriting and customer management. Utilize unstructured data in model development.
Extract and analyze data, investigate data integrity, generate metrics and perform ad hoc analysis.
Take accountability and ownership of end to end data science model/score design, development, and delivery.
Provide analytical consulting and thought leadership to stakeholders.
Lead junior teammates and partner with cross functional teams
Research new models and algorithms to improve our credit scoring.
Research new and enhanced model features to improve risk models.
Partner with data engineers to validate & deploy solutions in an efficient, sustainable & usable manner.
Characteristics of a successful candidate:
>5 years experience in data science building and implementing models; B.A. or M.S. degree in a STEM Major (Science, Technology, Engineering, or Math) or work equivalent is required.
Strong knowledge of traditional and machine learning models.
Strong knowledge of R , SQL and Python.
Strong self-management, drive, and organization.
Ability to multi-task in a fast-paced environment is essential.
Experience in financial services industry
Ability to translate technical concepts to a non-technical audience
Nice-to-haves:
Management experience
B2B Experience working at a vendor
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Data Scientist | League |
As a Senior Data Scientist, you will help us apply statistical and machine learning techniques to complex health datasets to predict feature engagement, behavioral change, and health outcomes and challenge the state of the art personalization techniques in the domain of health and wellness. In this role, you will work as part of a small multi-disciplinary data science team that focuses on using data based methods to personalize the user experience and research the impact that our platform has on user health. This team will not only work with the product team (and in some cases embed directly in a product team) closely but will also support non-user-facing functions like Business Strategy and Partners.
To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating. Furthermore, you understand the business impact of your work and enjoy measuring and presenting it. You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, iterate over it and can balance technical complexity with delivering customer value in a timely fashion.
Our current data pipelines are built with Airflow and Python, we extensively leverage GCP capabilities (e.g. Cloud Functions, Vertex AI, Healthcare API, BigQuery) and utilize the Fast Healthcare Interoperability Resources standard across our data platform and to model our operational data. You will tackle complex health and non-health related datasets ranging from client events from our mobile applications, self-reported health information, connected devices data, and data from traditional healthcare systems of record (e.g. claims, care gaps, EHR). In this role, you will:
Effectively utilize statistical and machine learning algorithms in building personalization services including but not limited to recommendation engines and other predictive models that can be used to personalize the end-user in-app experience.
Your work will include identifying and engineering features (including collaboration with stakeholders to inform appropriate features and target labels), evaluation of various modeling techniques to employ, development of said models, and collaboration with machine learning engineers to put your models into production and monitor their performance over time.
Collaborate with both internal and external stakeholders to understand health and insurance ecosystems, model user behaviors and other long-term wellness trends to inform your development of personalization services
Apply proven analytic methods and algorithms on cross-functional domains by sourcing and leveraging data to support modeling
Conduct data based (e.g. primarily retrospective observational) research on our platform’s impact on user health as well as the application of data science and machine learning to digital health
About you:
MSc or PhD focused on data science/machine learning research or applications
2+ years of experience in data science or machine learning engineering
2+ years building and shipping data science based personalization services and recommendation systems
OR BSc focused on data science/computer science/engineering and 4+ years experience developing and shipping production grade machine learning systems
You have strong analytical and data science skills and are excited to apply it in non-traditional domains
You know how to break down complex and ambiguous problems to smaller, more manageable sub-problems and iteratively deliver value to customers
You have deep experience with data science toolkits like scikit-learn, Keras and Tensorflow, including Python or R. You are eager to learn from others and help others grow with you
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Senior Data Scientist | Foot Locker |
Overview
This role is REMOTE/Fully Virtual - Must be based in U.S. (EST/CST ONLY)
Our global house-of-brands inspires and empowers youth culture. Relentlessly committed to fuel a shared passion for self-expression, we create unrivaled experiences at the heart of the sport and sneaker communities through the power of our people. If you want to be a part of something bigger than you can imagine, you’ve come to the right place. To learn more about the incredible impact we’re making on both our local and global communities, Click Here!
You will acts as a technical lead in specific domains developing sophisticated predictive models, mining large data sets for insights, building scalable data products, and growing the overall Data Science capability at Foot Locker working with a prioritized roadmap for projects.
You will act as an expert in a particular domain of science models and works with other data scientists to create solutions to complex business problems. You must be adept at using large data sets to find opportunities and using models to test the effectiveness of different courses of action. Experience in data analysis, visualization, building and scaling models is imperative. You will use your proven ability to drive business results with data-based insights and be comfortable working with a wide range of stakeholders and functional teams. You will leverage your passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities
On a Normal Day You Might:
Formulate, prioritize, and lead initiatives to contextualize and solve the most challenging problems in Foot Locker’s analytical portfolio Understand business problems and design end to end analytics use cases. Partner with business tech leads to implement reusable and robust solutions Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype and build the next generation analytics engine and services. Partner with data science leadership and engagement teams to present solutions and insights to business.
Help maintain and track project goals and roadmaps. Collaborate with software and data engineers to implement and deploy scalable solutions. Develop complex models and algorithms that drive innovation throughout the organization. This may include initiatives in understanding our Products, Customers, Operations, Footprint, etc. Mentor junior team members and provide constructive critique on specific projects.
Qualifications
Technical Must Haves:
Minimum 3 years’ experience in Data Science & Machine Learning requiredDeep knowledge of machine learning and statistics with a focus on forecasting and optimization required
An advanced understanding of supervised and unsupervised learning techniques including variable selection, feature engineering, model generation, model diagnostics, hyperparameter tuning and deployment Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist/Bayesian methodologies Experience in optimization algorithms such as Linear Programming, Knapsack and similar. Able to work with big-data. Familiar with spark/sql, pyspark, databricks Advanced programming skills in Python or R
Excellent data visualization skills: able to determine the appropriate visualization for a variety of data types and create compelling stories with data Understanding of Agile methodologies and continuous delivery Understanding of SDLC collaboration, including experience with tools such as GIT
Nice to Have:
Hold an advanced degree (MS/PhDs) in computer science, statistics, economics, physics, mathematics, operations research, or related technical discipline.
Knowledge of cloud environments such as Azure Previous work in the Retail/E-commerce industries. Time series forecasting a plus
Traits we are looking for:
You bring a Professional attitude and strong service orientation, superb team player You have strong business acumen and judgement combined with excellent verbal and written communication that can be used to drive our strategy throughout all levels of the organization You demonstrate organizational empathy while delivering results. Ability to build relationships quickly, collaborate and lead with courage will be a must
#LI-Remote
#LI-JM
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Data Scientist | Foot Locker |
Overview
This is a REMOTE Role based in the US
Our global house-of-brands inspires and empowers youth culture. Relentlessly committed to fuel a shared passion for self-expression, we create unrivaled experiences at the heart of the sport and sneaker communities through the power of our people. If you want to be a part of something bigger than you can imagine, you’ve come to the right place. To learn more about the incredible impact we’re making on both our local and global communities, Click Here!
Our Data Scientist work cross collaboratively with other team members and project managers, developing sophisticated predictive models, mining large data sets for insights, building scalable data products, and growing the overall Data Science capability at Foot Locker working with a prioritized road-map for projects.
Our Data Scientists work on a wide range of problems improving Foot Locker’s omni channel business. You will be working with large data sets to find opportunities and using models to test the effectiveness of different courses of action. You will be working with data analysis, visualization, the building and scaling of models. You will use your proven ability to drive business results with data-based insights and be comfortable working with a wide range of stakeholders and functional teams. You will leverage your passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities
Work with lead scientists and scrum masters to understand, contextualize, and solve the most challenging problems in Foot Locker’s analytical portfolio Understand business problems and design end to end analytics use cases. Partner with business tech leads to implement reusable and robust solutions Apply strong expertise in data science, machine-learning, data mining, and information retrieval to design, prototype and build the next generation analytics engine and services.
Partner with data science leadership and engagement teams to present solutions and insights to business. Collaborate with software and data engineers to implement and deploy scalable solutions. Develop complex models and algorithms that drive innovation throughout the organization. This may include initiatives in understanding our Products, Customers, Operations, Footprint, etc.
Qualifications
Bachelor’s degree in Business, Marketing, Statistics, Finance, Computer Science or related field from an accredited university or college required.An advanced degree (MS) in mathematics, statistics, physics, economics, computer science, operations research or related technical discipline ir preffered. Minimum of 2 years professional experience’ working in Data Science & Machine Learning. Experience in the retail/e-commerce domain is a plus. Deep knowledge of machine learning and statistics. An advanced understanding of supervised and unsupervised learning techniques including variable selection, feature engineering, model selection training/testing/validation, model diagnostics, and deployment. Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist/Bayesian methodologies. Able to work with big data. Strong SQL skills; Spark/sql, pyspark, databricks. Solid programming skills in python or R. Excellent data visualization skills: able to determine the appropriate visualization for a variety of data types and create compelling stories with data. You are a team player with strong business acumen and judgement combined with excellent verbal and written communication that can be used to drive our strategy throughout all levels of the organization. You demonstrate organizational empathy while delivering results. Ability to build relationships quickly, collaborate and lead with courage will be a must.Experience with time series forecasting, optimization (linear programming and others), causal modeling & neural networks, a plus.Knowledge of cloud environments such as Azure, a plus. Understanding of SDLC collaboration, including experience with tools such as GIT, a plus.Understanding of Agile methodologies and continuous delivery.
#LI-Remote
#LI-JM1
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Data Scientist | Edpuzzle |
About usHave you always wanted to unite your passion for learning with your skills as a Data Scientist? Do you want to work with an incredible team that is making an impact on learning around the world? Then we can’t wait to meet you!We’re looking for a highly motivated and driven Data Scientist (based in Spain) who is passionate about data, automation, statistical models, technology, innovation, and education, and would love to work in a collaborative environment at Edpuzzle, a leading edtech company with offices in San Francisco and Barcelona.How will you work?Do you like to face new challenges? You’ll have a front-row seat at one of the fastest-growing companies in educational technology, trusted by over 80% of schools in the USA and millions of teachers and students across the globe. You’ll also have the opportunity to contribute to our product and team development, be part of diverse projects and stay up to date with the latest software technologies. In the process, you’ll be challenged daily, learn constantly, see the impact of your opinions and work, and grow as a Data Scientist.What technologies will you find? Technically speaking, the product database is hosted in MongoDB Atlas and we use Atlas Data Lake to transfer the data to our AWS S3 Data Lake. Then, we use Spark code in AWS Glue as our ETL to send everything into AWS Redshift, our Data Warehouse. Data Quality and modeling will be done in Python code. Finally, we make use of visualization tools to report everything.What about the team?Our Data Team is composed of team members of different levels of seniority. This allows us to learn from each other, get to know our product in depth and collaborate on scalable projects to achieve challenging goals together.About you You’re excited by the opportunity of working in education. You make all your technology decisions with the final user in mind. You love learning and mastering technologies. You can work independently, and manage goals and deadlines effectively. You have an excellent ability to communicate your ideas, regardless of the audience. You must have Spanish or EU working papers. Responsibilities Identify valuable data sources and automate collection processes. Extract and query data from our data lake and data warehouse: Undertake the preprocess of structured and unstructured data. Create scripts for optimising keyword structures. Ensure data quality and integrity: Continuously generate data-driven hypotheses and advocate on testing best practices, contributing to accelerating our testing cycles. Design, implement and maintain a solid data lake and data warehouse that collects, stores, and processes data, focusing on scalability and reliability. Analyse large amounts of information to discover trends and patterns, and interpret and analyse data problems. Combine models through ensemble modeling. Propose solutions and strategies to business challenges. Collaborate with the Data Team members as well as the Engineering and Product development teams. Build analytic systems and predictive models. Derive insights from our customers’ behaviors and journeys to facilitate activities for acquisition, engagement and retention Proven experience as a Data Scientist or similar role for at least 3 years. Experience in data mining. Knowledge of data management and visualization techniques. Knowledge of R and/or Python; familiarity with Javascript. Experience working with BI tools (Tableau or Looker). Experience with SQL and NoSQL databases. Experience working with AWS. Analytical mind and strong math skills (e.g. statistics, algebra). Critical thinking and problem-solving skills. Excellent communication and presentation skills. Graduate degree in Data Science or other quantitative field is preferred; BSc/BA in Computer Science, Engineering or relevant field. Bonus Skills - Experience with: Business intelligence tools (e.g. Tableau or Looker) and data frameworks (e.g. Hadoop). Elasticsearch Mixpanel NewRelic What will you find if you join us? Competitive salary (36K- 48K), and a substantial yearly salary review A fun, friendly team of highly motivated people with different skill sets and backgrounds 100% remote friendly: You can decide how to work (remotely or hybrid, for the best of both worlds!) Flexible working hours and Friday reduced working time Training and development (CodelyTV, etc.), we love staying up-to-date! MacBook Pro and double monitor setup Team activities during working hours Flexible remuneration for transport and childcare Social Benefits: At Edpuzzle we take care of your Health and Meals! We offer you Private Health Insurance with AXA and Ticket Restaurant (an annual budget of 2000 € to spend at participating restaurants) 23 vacation days, plus the 24th and 31st of December, and April 23rd Brand new office in Barcelona with a chill-out room and a terrace with free coffee, snacks, and drinks waiting for you! Edpuzzle is an equal opportunity employer, and we highly value diversity at our company. If you'd like to be considered for this position, please apply below. We look forward to meeting you!
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Senior Data Scientist Nc | Tiger Analytics |
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements Bachelors Degree in Data Science, Computer Science, or related field 5+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets. Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, Power BI, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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Lead Data Scientist | Tiger Analytics |
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Lead Data Scientist you will lead the design and analysis of our Media Mix Modeling Team. You will join our multi-functional Optimization team comprised of Data Scientists, Software Engineers, and Data Engineers. You will be responsible for delivering insights about a major CPG marketing efforts. We lead and support analyses across Channel Digital, offline marketing, email marketing, social media, and paid media. You will also uncover high-impact optimization opportunities, craft compelling A/B test proposals, and analyze experiment results. If you’re passionate about the intersection between marketing, data science, and experimentation, we encourage you to apKey Responsibilities Core responsibilities cover three pillars: DIGITAL ANALYTICS: Lead a select number of strategic analyses to provide teams and leaders with concrete insights regarding opportunities to improve Effectiveness, ROIs, and conversion. EXPERIMENT ANALYSIS: Design experiments, analyze results, develop insights, and summarize recommendations. Work closely with the A/B Test Platform Engineering Team to ensure the analytics implementation suits our needs. RESEARCH & DEVELOPMENT: Partner with Data Scientists across Markets, Retail, and Operations on projects to increase the sophistication of our ROI program and deliver deeper insights about marketing performance. Productization: Maintain code which can be productise and packaged as python packages in any cloud environment. Provide thought leadership to provide MLOps framwork and DevOps suite to run model in production. Expertise with experimentation and statistical hypothesis testing (e.g. sample size determination / power analysis, statistical tests, confidence intervals, etc). Build predictive causal inferencing models (e.g. bayesian filters, kalman filters) for state space models. Good communication and presentation skills with the ability to communicate analyses to a diverse group of partners including data scientists, stakeholders, and marketing leaders. Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources. Strong data querying skills (SQL) and experience with a OOPs framework language (Python). Excellent time leadership skills and ability to lead multiple A/B testing projects in various stages of development. Great teammate who enjoys collaborating with others. BENEFICIAL BUT NOT REQUIRED Experience with econometrics and quasi-experiments. Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets. Experience in optimization algorithms to determine best budget alloc This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote
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Senior Data Scientist Healthcare Decision Intelligence Products | Pointclickcare |
For more than 20 years, PointClickCare has been the backbone of senior care. We’ve amassed the richest senior care dataset making our market density untouchable and our connections to the healthcare ecosystem exponentially more powerful than those of any other platform.
With Collective Medical & Audacious Inquiry, we’ve become the most expansive, full-continuum care collaboration network, offering care teams immediate, point-of-care access to deep, real-time insights at every stage of a patient’s journey.
For more information on PointClickCare, please connect with us on Glassdoor and LinkedIn.
*This position is remote for candidates living in North America*
Position Summary:
As the Senior Data Scientist/Informaticist on the Decision Intelligence Platform Team, you will lead Predictive and Prescriptive Analytics Vision, Strategy and Roadmap for our Decision Intelligence Platform Systems and Packaged Insights. Your direct customers will be Product Leadership and your indirect customers will be end users, engineering, and technologists. You will play an instrumental role in enabling the organization to bring new analytics solutions to market that transform the way healthcare is provided.
This is a highly collaborative and influential role, where you will be responsible for defining and operationalizing analytics for use across Acute & Payer and Post-Acute markets. You are data and insight driven, passionate about solving complex problems, and you have a proven track record of aligning cross-functional teams towards common goals.
In this role, you will drive the development of analytics algorithms and visualizations and solutions that fuel descriptive, predictive and prescriptive solutions, spanning business intelligence (packaged & self service reporting), workflow integration, and advanced technologies such as simulation and AI/ML.
What you will be doing:
· Leading the vision, strategy, and execution for predictive and prescriptive analytics, including but not limited to
· Exploratory analysis for meaningful analytics, aligned to product and corporate vision
· Contextualization of analytics for client and end user decisioning
· Development of reusable algorithms, to be codified in workflow, packaged insights, etc.
· Establishment of visualization standards
· Integrated roadmap, reflecting statistical models, AI/ML, simulation and other methods to drive client value
· Building and managing strategic relationships with internal product consumers, Go-To-Market teams, and external stakeholders
· Prioritizing and synthesizing research into clear, actionable analytics strategy and building consensus around the strategy with senior leadership
· Communicating roadmap and strategy to all stakeholders to align on outcomes
· Collaborating with Product Managers to measure success and value of analytics through pilot and in-market
· Working with marketing and sales to build analytics marketing, positioning and messaging
· Working with product, implementation and operational teams to ensure customer success
· Collaborating with stakeholders to ensure analytics are an integral part of an overall product delivery strategy
What you bring to the team:
· Senior level Analytics and Informatics experience, preferably in a Product environment
· Demonstrable success in healthcare analytics, informatics or business intelligence, spanning descriptive, predictive and prescriptive
· Familiarity with Workflow integration, Decision Science, Digital Twins, Simulation
· Proven track record presenting analytics for consumption by end users
· Ability to prioritize across multiple projects and stakeholders, and influence teams towards a single, cohesive vision
· Experience managing analytics projects through the entire lifecycle, idea through operationalization
· Experience within an Agile/Scrum environment
· High adaptability or experience in an incubation or "startup" culture
· Strong listening, communication, collaboration and presentation capabilities
· Preference for some experience or familiarity with the cross-continuum challenges in the healthcare and interoperability market
· Master’s Degree in statistics, data science, informatics or related field
· Experience with business and/or healthcare settings
#LI-SG1 #LI-Remote
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact [email protected] should you require any accommodations.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: [email protected]
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
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Senior Data Scientist | Aspiration |
Aspiration is in the business of fighting the climate crisis. We help people and businesses build sustainable impact into what they do every day by making it easy, automated, and powerful -- whether it is in the ways people spend and save their money or the ways businesses engage their customers and employees. Across our initiatives--from our debit and credit cards to our global scale reforestation and carbon credit projects--the estimated cumulative climate impact of the Aspiration community thus far is the equivalent of taking every car in the state of Wyoming off the road for a year. With more than 7 million members, over $550 million in funding to date, and a commitment to plant one billion trees by 2030, Aspiration is not only a certified B Corporation but has been named to the “Best for the World” list of the top five percent of highest scored certified B Corporations five times in a row.
Our Core Values are Aspiration’s guiding principles:
Action: We take initiative. We are doers, not bystanders.
Boldness: We don’t tinker, we transform.
Customer-Centered: Our customers are at the core of our business. Delivering for them is our North Star.
Diligence & Dedication: We do what we say we’re going to do, when we say we’re going to do it.
Entrepreneurial: Act like an entrepreneur not an employee, generate results for the company and customers everyday.
Aspiration is looking for a Senior Data Scientist to help design and develop machine learning models to drive our business forward. This role will play a pivotal role in implementing machine learning models across our products as well as, running high business impacting analytics that will help us provide the best possible experience for our customers.
What You'll Do
Lead the end-to-end process of conceptualizing, developing, deploying, and analyzing models. Work independently to design machine learning solutions that operate quickly and effectively at scale.
Dedicatedly perform explorations of data and algorithms to improve our models, explore new prediction algorithms, construct new features, and models, and research new technologies.
Own the data quality of your projects including training, test and experiment data.
Has a proven ability to learn quickly and works well both independently as well as in a team setting.
Creatively leverage new and existing data to increase the effectiveness and efficiency of our decision-making infrastructure.
Apply good software development practices and actively contribute to production code where practical.
Help build the next generation of data products at Aspiration.
What You'll Bring
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering or a quantitative discipline.
Masters/PhD degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering or a quantitative discipline preferred.
Demonstrable experience applying these methods to real world prediction problems (classification, regression, unsupervised learning, etc).
6+ years of experience in a Data Science role.
Fluent in a production-ready programming language such as Python. Ability to deploy and scale models into a production environment collaborating with engineers.
Fluent in common data science tools (e.g. scikit-learn, numpy, pandas) in Python and experience developing ensemble models (e.g. random forest, xgboost, catboost, ec).
Fluent in SQL, ability to efficiently query large dataset.
Experience with AWS data warehouses and services (e.g. EC2, S3, Sagemaker).
Communication skills and the ability to convey complex data visually, verbally, and in writing.
Experience with development tools and platforms such as Jupyter Notebook, PyCharm.
Experience with git commands and familiarity with Unix/Linux environments.
Prior experience in FinTech is a plus.
What You'll Get
Work for a mission-driven company to transform the lives of millions by building a better, values-oriented financial firm.
Opportunity to be part of and to contribute to ESG, as a steward of social and environmental change.
Participation opportunities in Diversity, Equity and Inclusion employee activities and events
Robust benefit offerings, including medical, dental, vision and 401k.
Parental Leave expansion (12 weeks of paid leave over the course of a year)
Pet Insurance and other voluntary benefit plan offerings
Unlimited vacation time and 80 hours of sick time annually
12 Paid Holidays
Work from home setup and equipment reimbursement
Semi - annual performance reviews
Employee Referral Bonus Program
Aspiration is proud to be an ESG company. We are an equal opportunity workplace. Diversity at Aspiration is not just compliance-driven. Diversity is our compass to drive equitable practices; to celebrate individuality; and to foster the uniqueness within each of us that makes our products, services, and culture better than most. Yes, we are proud to be a DEI company and we encourage everyone, inside and outside of Aspiration, to show up as you are and as you want to be, every day.
This organization participates in E-Verify. Find more information here!
#BI-Remote #LI-Remote
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Machine Learning Scientist | Upside |
Meet Upside:
We created Upside to help communities thrive! Our retail technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick and mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cash back than any other product, and tens of thousands of brick and mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our local retailers, the consumers they serve, and towards important sustainability initiatives. Our mission, values, and commitment to inclusivity guide our team of more than 300 people worldwide, and the quality of our culture is reflected in the impact we’ve had on communities nationwide. You’ll join a Team whose experience hails from places such as Google, Uber, Amazon, Instacart, Capital One, and MasterCard with proven startup executives and venture capitalists.
Upside was named #2 on Deloitte's 2021 list of Fastest Growing 500 Tech Companies and #308 in Inc.’s America’s fastest growing private companies of 2022. Upside’s Series D funding was raised in March 2022 and led by General Catalyst at a $1.5 billion valuation. Other investors include Bessemer Ventures and Formation8.
Meet the Data Science team:
The data team is a close-knit group of hardworking, fast-learning individuals that believes in our mission to help communities thrive! We believe in a data-driven approach to decision-making and an encouraging culture that emphasizes learning from our mistakes. We debate and deliberate on the best ideas to improve our processes, and strive for an inclusive atmosphere that nurtures the psychological wellness of all of our teammates.
About the job:
As a Machine Learning Scientist at Upside, you’ll be developing and deploying machine learning models that will personalize the experience of Upside users both inside and outside the app, helping them to find the right product at the right merchant at the right price at the right time. You will work closely with our product and marketing teams to identify areas where machine learning algorithms can improve the user experience, and oversee the development and deployment of those models from conception to evaluation.
What you'll do:
Develop and iterate on algorithms in the personalization and recommendation space that will return real-time predictions and recommendations in-app
Own all aspects of model development from initial research and development to deployment
Analyze performance of models in champion-challenger tests and communicate results to relevant stakeholders
Mentor other machine learning scientists and data scientists on the team
What you need:
A PhD in a quantitative field
Experience with Python and SQL
At least 3 years of experience using recommender systems, ranking algorithms, and similar techniques to personalize user experience on an app or website
A proven track record of developing new machine learning models or improving existing models that led to measurable improvements in core business metrics
Solid understanding of statistics, machine learning, and deep learning
Strong communication skills
Experience with deploying models into production preferred
The fine print:
Notice to recruiters and placement agencies: This is an in-house search with a dedicated resource. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.
At Upside, we believe that diversity drives innovation. Our differences are what make us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here. Come join us!
#LI-NE1
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Data Scientist | Upside |
Meet Upside:
We created Upside to help communities thrive! Our retail technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick and mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cash back than any other product, and tens of thousands of brick and mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our local retailers, the consumers they serve, and towards important sustainability initiatives. Our mission, values, and commitment to inclusivity guide our team of more than 300 people worldwide, and the quality of our culture is reflected in the impact we’ve had on communities nationwide. You’ll join a Team whose experience hails from places such as Google, Uber, Amazon, Instacart, Capital One, and MasterCard with proven startup executives and venture capitalists.
Upside was named #2 on Deloitte's 2021 list of Fastest Growing 500 Tech Companies and #308 in Inc.’s America’s fastest growing private companies of 2022. Upside’s Series D funding was raised in March 2022 and led by General Catalyst at a $1.5 billion valuation. Other investors include Bessemer Ventures and Formation8.
Meet Upside Data Science Team:
The Data Team is a close-knit group who are the center of excellence for advanced decision support and developing and deploying machine learning models that drive our core product! We believe in a data-driven approach to decision-making and an encouraging culture that emphasizes learning from our mistakes. We debate and deliberate on the best ideas to improve our processes, and strive for an inclusive atmosphere that nurtures the psychological wellness of all of our teammates. We operate as player-coaches, engaging in analysis and R&D, as well as leveling up data literacy with each business unit with whom we partner.
Our technology stack:
Python / Jupyter / Sagemaker
Snowflake data warehouse on AWS, S3, and Athena
Looker for visualization and exploration
Segment / Optimizely for events and A/B testing
Jenkins / Github / Terraform
About the job:
As a Data Scientist, your impact will reach across the Finance, Marketing, Operations, Product, Engineering, and Sales teams as you design experiments, develop prediction models, and perform causal analysis to inform strategy. As an early member of a growing team, you'll be able to have an impact on the direction and evolution of the data practice and the company as a whole.
What you’ll do:
Optimize the algorithms that personalize the discounts surfaced in our product, as well as use a wide array of predictive modeling and unsupervised learning techniques to solve business problems such as predicting user retention and lifetime value, detecting fraud, optimizing marketing spend, and recommending merchants to users
Collaborate with various partners across the company to understand data and modeling needs, design experiments, perform statistical analysis, and guide business decisions through data-centric presentations.
Establish and test hypotheses in a rigorous way; provide guidance on experimental design, conduct power analyses, run A/B and multivariate tests and then analyze their outcomes.
Define KPIs, work with engineering to instrument our systems and define data requirements, and collaborate with the data engineering team to build data pipelines and infrastructure.
Communicate technical and quantitative concepts to non-technical audiences, including tying recommendations to business goals and outcomes.
What you need:
At least 3 years of work experience in predictive analytics, data science, Machine Learning, or similar role.
A Ph.D. or Master’s degree in a quantitative field.
Experience with experimental design, advanced statistics, and predictive modeling; familiarity with methods such as forecasting, time series analysis, reinforcement learning, and anomaly detection a plus.
Experience in SQL, as well as Python, R, or a similar language; experience with visualization tools and big data platforms and technologies a plus.
An ability to simplify complex problems, synthesize data, and create compelling narratives to inform decision making.
Strong analytical and organizational skills, along with strong attention to detail and quality.
The fine print:
Notice to recruiters and placement agencies: This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.
At Upside, we believe that diversity drives innovation. Our differences are what makes us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here, come join us!
#LI-NE1
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Manager Data Science | Walgreens |
Job SummaryCollaborate with both internal teams and external partners to enhance our marketing measurement methodologies. Utilize and expand the industry standard tools such as Marketing Mix Modeling (MMM) and Multi-touch Attribution (MTA) to optimize the marketing planning and media execution. Combine model results with business knowledge to inform marketing, media, and upper management teams with meaningful business insights and actionable recommendations. Develop processes to consolidate and analyze data sets from various sources. Manage project teams to ensure quality of work and on time delivery.Job Responsibilities
Manages the daily operational activities that develop and implement tactical plans for specified area. Oversees team(s) assigned to projects and may manage implementations. Ensures resources are accurately allocated in line with tactical plans and appropriately accounted for.Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. Performs as subject matter advisor and may serve as point of escalation and become actively involved, as required, to meet schedules and resolve problems highly complex in nature.Manages issues proactively, including timely resolution and the identification of remediation opportunities.Develops software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets.Keeps abreast of new analytic methodologies and technologies.Collaborates with functional business units to drive business solutions and direction.Establishes credibility with partners while managing expectations. Ensures frequent, continuous and effective communications with team members, and with stakeholders to set expectations and negotiate priorities appropriately, via both formal and informal channels / mechanisms.May develop budget for functional area. Manages budget to plan. May be accountable for area budget and delivering against business goals/objectives.Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application. May develop partnerships (and relationships) with internal and external stakeholders to meet business needs.Allocates available resources to meet operating objectives. Develops and mentors staff through on-boarding, open communication, training and development opportunities and performance management processes; builds and maintains employee morale and motivation; ensures the team is appropriately staffed with required competencies; fosters a diverse and inclusive workplace.
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Senior Data Scientist Statistician | Walgreens |
Job Summary:
Applies highly complex statistical techniques to help solve problems. Provides insights and actionable recommendations to the business. Utilizes highly complex statistical modeling to make predictions about future outcomes and in multiple scenarios. Explains findings to business audience.
Job Responsibilities:
Responsible for applying highly complex advanced data analysis tools and techniques to provide insights and actionable recommendations for the businessUtilizes highly complex statistical modeling to make predictions about future outcomes and in multiple scenarios.Interprets and applies data in highly-complex analyses, and explains findings to business audiences to improve products and processes.Executes multiple and/or highly complex statistical and mathematical analyses to support business decision making for multiple business functions.Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.Develops materials to explain project findings.Typically assigned to important / complicated undertakings.Anticipates and prevents problems and roadblocks before they occur.Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.Mentors less experienced members of the team. Provides guidance regarding analytical approach and iteration of algorithms.
An Equal Opportunity Employer, including disability/veterans
About Walgreens Boots Alliance
Walgreens Boots Alliance (Nasdaq: WBA) is a global leader in retail pharmacy, impacting millions of lives every day through dispensing medicines, and providing accessible, high-quality care. With more than 170 years of trusted healthcare heritage and innovation in community pharmacy, the company is meeting customers’ and patients’ needs through its convenient retail locations, digital platforms and health and beauty products.
Including equity method investments, WBA has a presence in more than 25 countries, employs more than 450,000 people and has more than 21,000 stores.
WBA’s purpose is to help people across the world lead healthier and happier lives. The company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. WBA is a participant of the United Nations Global Compact and adheres to its principles-based approach to responsible business.
WBA is included in FORTUNE’s 2021 list of the World’s Most Admired Companies*. This is the 28th consecutive year that WBA or its predecessor company, Walgreen Co., has been named to the list.
More company information is available atwww.walgreensbootsalliance.com.
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Data Scientist | Walgreens |
Job Summary
Applies advanced data analysis tools and techniques to provide insights and actionable recommendations for the business to improve quality of patient care. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. May explain findings to business audience.
Job Responsibilities
Responsible for applying advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios.Interprets and applies data in complex analyses, and explains findings to business audiences to improve products and processes.May support or lead the development of data-related commercial offerings and/or other intellectual property (IP)Executes statistical and mathematical analyses to support business decision making.Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.Develops materials to explain project findings.Effectively resolves problems and roadblocks as they occur.Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.Prepares and presents interpretation of findings to internal clients.
An Equal Opportunity Employer, including disability/veterans
About Walgreens Boots Alliance
Walgreens Boots Alliance (Nasdaq: WBA) is a global leader in retail pharmacy, impacting millions of lives every day through dispensing medicines, and providing accessible, high-quality care. With more than 170 years of trusted healthcare heritage and innovation in community pharmacy, the company is meeting customers’ and patients’ needs through its convenient retail locations, digital platforms and health and beauty products.
Including equity method investments, WBA has a presence in more than 25 countries, employs more than 450,000 people and has more than 21,000 stores.
WBA’s purpose is to help people across the world lead healthier and happier lives. The company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. WBA is a participant of the United Nations Global Compact and adheres to its principles-based approach to responsible business.
WBA is included in FORTUNE’s 2021 list of the World’s Most Admired Companies*. This is the 28th consecutive year that WBA or its predecessor company, Walgreen Co., has been named to the list.
More company information is available atwww.walgreensbootsalliance.com.
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Senior Manager Data Science Media Solutions | Walgreens |
Job Summary
Manages complex data gathering and integrating large volumes of data, performing analysis, interpreting results and developing actionable insights and recommendations for use across the company. Provides management and guidance to multiple groups of staff of data scientists and data analysts to implement the company’s data science strategy. Manages efforts of others in the achievement of the strategic and operational objectives.
Job Responsibilities
Provides management and guidance to multiple groups of data scientists and data analysts to implement the company’s data science strategy.Manages efforts of others in the achievement of the strategic and operational objectives. Leads the area to ensure performance standards and all goals and objectives are met in a timely and organized fashion.Manages complex data gathering and integrating large volumes of data, performing analysis, interpreting results and developing actionable insights and recommendations for use across the company. Research techniques may include statistical modeling, visualization, machine learning, and data mining.Makes recommendations regarding the operating plans for specified area, then, based on prevailing conditions may realign the daily operations. Plans and structures work activities for teams and monitors progress and results. May develop briefs for outside vendors and manages their relationship.Provides guidance and supervision to teams as they carry out work activities. Recruits and develops staff within area of responsibility in accordance with policy. May manage vendors engaged in big data analysis.Influences individuals within and outside the department. Prepares and presents reports to all levels of leadership and staff. May develop budget for functional area. Manages budget to plan and is responsible for meeting/delivering against budgetary goals and objectives.Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application.Develops and leverages partnerships (and relationships) with internal and external stakeholders to meet business needs.Oversees and manages managers, supervisors and individual contributors. Allocates available resources to meet operating objectives. Ensures the ongoing training and development of direct reports. Develops and mentors staff through on-boarding, open communication, training and development opportunities and performance management processes; builds and maintains employee morale and motivation; ensures the team is appropriately staffed with required competencies; fosters a diverse and inclusive workplace.
An Equal Opportunity Employer, including disability/veterans
Walgreens (www.walgreens.com) is included in the Retail Pharmacy USA Division of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global leader in retail pharmacy. As America’s most loved pharmacy, health and beauty company, Walgreens purpose is to champion the health and wellbeing of every community in America. Operating more than 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving approximately 8 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with platforms bringing together physical and digital, supported by the latest technology to deliver high-quality products and services in local communities nationwide.
#LI-CB1
The following information is applicable to Colorado only, in accordance with the Colorado Pay Equity Act. In Colorado, an employee in this position can expect a salary/hourly rate between $130,000 - $222,500 and plus bonus pursuant to the terms of any bonus plan, if applicable will depend on experience, seniority, geographic locations, and other factors permitted by law. To review benefits, please click herejobs.walgreens.com/benefits. Walgreens will provide applicants in other states with information related to the positions, to the extent required by state or local law, by calling 1-866-967-5492.
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Data Scientist Consultant | Datakind |
Objective
Nonprofit organization DataKind is requesting proposals from junior and mid-level data scientists.
Context
DataKind is a global nonprofit dedicated to harnessing the power of data science and artificial intelligence (AI) in the service of humanity. DataKind matches skilled volunteers from academia and industry with visionary changemakers, collaboratively designing innovative solutions to tough social challenges.
People are at the center of our process: DataKind follows human-centered design principles that focus on questions such as “why?”, “for whom?” and “should we?” before we get going on the “what?”. We’ll continue our work until all people and all communities can use digital technology for the outcomes they want to see, with an emphasis on including those who have historically been excluded from the technology sector or will be impacted by the intervention.
Engagement Description
The Data Scientist Consultant will be responsible for the following in addition to any other projects assigned by their manager:
Help manage data science and business intelligence products hosted by DataKind.
Advance data science solutions beyond prototype phase.
Carry out feasibility studies and exploratory analyses for proposed new projects and areas of opportunity.
Provide data science support for the portfolio of volunteer data science projects at DataKind.
Advance internal analytics reporting and automation capabilities.
This is a 6-month engagement (from mid October 2022 through April 2023), full-time remote role (40 hours/week). The consultant should be willing to work a flexible schedule to meet on some nights or weekends with volunteer teams or to help run DataKind events.
Compensation
$75 - $150/hour
Based on the candidate’s level of experience.
Qualifications
At least 3 years of data science work experience, preferably including experience in a nonprofit or start-up context.
Experience in machine learning/AI with confidence in applying, tuning and evaluating a wide variety of AI algorithms, from logistic regression and random forests to deep learning.
Fluency in Python, SQL, github, NLP, data visualization.
Desired experience in Tableau, Docker, Airflow, Databricks, R, DBT, Great expectations, AWS, Azure, user interfaces.
Comfort and skilled in communicating highly technical information to semi- and non-technical audiences.
Proven track record of successfully supporting full lifecycle tech/AI projects.
Ability to motivate people to collaborate towards a shared goal, to keep them engaged throughout the process, and to intervene as needed.
Demonstrated customer service orientation that will allow you to represent DataKind well to our volunteers and partners alike.
Proposal
By 9:00am ET on Friday, September 30th, 2022, interested parties are requested to provide the following:
A resume describing relevant professional experience
A cover letter that includes a short description of why you are interested in the position and outlines how your qualifications align with the role
If possible, a relevant work sample that demonstrates your ability to break down complex concepts in a compelling, approachable way. This could be any medium - github profile, thesis, blog post, etc. - and could have redacted information as needed.
Two references (name, phone number, and email address) from similar work, including a brief description of each project scope
We particularly encourage women, people of color, and people holding identities that are underrepresented in technology to apply.
Selection
Strong proposals will be contacted for further discussion. These will be selected based on relevance of past experience and alignment with DataKind’s goals and budget.
DataKind is an Equal Opportunity Employer
Naturally, DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.
Applicants must be currently authorized to work in the United States on a full-time basis
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Senior Data Scientist | Home |
Job Title: Senior Data Scientist
Job Location: Hershey, PA
***May consider fully remote candidates***
***This position will be posted internally until the close of business on July 1st, 2022***
Summary:
The Enterprise Data Science organization drives value for Hershey by creating disruptive predictive and prescriptive solutions to the Enterprise for analytics and decision-making.
The Sr. Data Scientist will be working with Hershey business partners, technical engineers, data architects, and project managers to ensure data science standards adhere to company best practice and help to deliver rapid impactful benefits.
The Sr. Data Scientist will act as a trusted advisor for Hershey business partners to build new, data-driven, machine-intelligent capabilities that impact the business. You will work with large volumes of data, innovative technologies, and advanced methods to solve real business problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and the customer experience. You will work with a diverse team of business analysts, technical engineers, data architects, and project managers to deliver outcomes aligned with our business partner’s strategy. In addition, you will work directly with the Director of Data Science to ensure consistency and compliance of deliverables to frameworks and governance processes.
Applicants should have a strong background in machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition.
Responsibilities:
Data Science Solution Delivery:
Contribute to the agile delivery of business partner strategic roadmaps using best practice data science methods, frameworks, and governance processes
Data Science Domain:
Collaborate with IT and business partners to define, manage and deliver innovative data science solutions to drive growth and adoption of capabilities at Hershey
Data Science Advocacy:
Evangelize future data science solutions identified by Enterprise Data leadership, including innovations such as: machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition
Lead and coordinate key cross-functional data science efforts to accelerate value creation for agile execution team outcome delivery through machine learning
As part of a team, use machine learning (ML), deep learning (DL) and other analytical techniques to create scalable solutions for business problems
Interact with business partners, technologists and engineers define and understand business problems, help, and aid them to implement ML/DL algorithms when appropriate
Design, develop and evaluate highly innovative models for predictive learning, content ranking, and anomaly detection
Analyze and extract relevant information from historical data to help automate and optimize key processes
Work closely with technology, business, and engineering teams to drive model implementations and adoption of new algorithms
Using best practice guidance from the Enterprise Data team, oversee the health and evolution of agile execution team data science technologies
Strategic thinker with holistic vison, specific focus on automation of existing processes to drive key business performance
Able to articulate the holistic benefits of data science from a business perspective, while maintaining the relationship with business analysts, data architects, technical engineers, and project managers
Routinely meets with entire execution team (business analysts, data scientists, technical engineers, data architects, and project managers), business stakeholders and the Director for Data Science. Occasionally meets with senior leaders Enterprise Data and with key business partners.
Minimum knowledge, skills and abilities required to successfully perform major duties/responsibilities:
Working knowledge of agile frameworks
Ability to manage multiple priorities, meet deadlines and produce quality results under pressure
Demonstrated leadership and managerial skills
Strong problem solving and analytical skills
Strong team player, change agent, and advocate
Excellent customer service skills
High energy self-starter
Excellent verbal and written communication skills
Minimum Education:
Masters in a STEM degree required, Ph.D. preferred
Minimum Experience Requirements:
3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning
2+ years – using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST)
2+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud)
2+ years programming skill in Python, R, Scala or Java
Working knowledge with modern cloud-based data storage and compute environments (e.g., Snowflake, Databricks in Azure, AI-platform in GCP, etc.)
Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus
Experience working in a agile delivery model a plus
Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
Ability to communicate complex ideas in a clear, precise, and actionable manner
Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners
#LI-CW1
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Data Scientist Co Op Spring | The Hershey Company |
Location: Remote
Duration: Spring 2023
WHY HERSHEY?
The Hershey Company is a global fortune 500 company that is a recognized leader in the Consumer Packaged Goods industry. Our goal is to integrate students with our knowledgeable and successful teams in order to maintain a fresh perspective on an ever-changing world. Every day presents new challenges and opportunities to learn, grow and innovate. Are you up for the challenge? Are you ready to make a difference?
WHY SUPPLY CHAIN AT HERSHEY?
The Supply Chain organization at The Hershey Company has open internships for analytically minded, tech-savvy undergraduate and graduate students. Technology and analytics are elemental to all aspects of Hershey’s supply chain. Hershey has a diverse global team focused on providing robust innovative capabilities, partnering on analysis to drive successful business outcomes and embraces an entrepreneurial mindset to create an environment that is exciting, compelling, innovative and dynamic.
We are looking to fill a Data Scientist Co-Op role with the Supply and Demand Planning Center of Excellence. This role will be focused on using implementing analytical methods through software to understand, improve and monitor our forecasting system and process. Additional data related problems are continuously arising; additional opportunities will be available based on experience/skill level. This work ensures the most accurate forecasts are being used to impact multiple facets of our supply chain planning.
RESPONSIBILITIES:
Collaborates with IT to prepare and manipulate structured and unstructured data for data discovery and mining from multiple, disparate, resources.
Builds high-end analytic models, utilizing supervised and unsupervised learning models, to support decision makers with data driven insights that address immediate business problems and objectives.
Creates informative visualizations that intuitively display large amounts of data and/or complex relationships.
Translates data analytics into coherent reports and presentations for internal and external customer with varying degrees of technical knowledge.
QUALIFICATIONS:
Passion for analytical problem solving.
Pro-active problem solver who continually asks why to understand root causes.
Experience with R or Python, SQL.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Knowledge of machine learning techniques and approaches (feature engineering, classification, clustering, decision trees, etc.).
Knowledge of time series analysis and forecasting a plus.
Familiar with software engineering tools and processes (git, repositories, containers, devops, PyCharm,etc.).
Quick learner through formal and self-guided education.
Ability to work in teams or individually.
Courage to challenge the status quo and take smart risks.
Excellent written and verbal communication skills for coordinating across teams.
EDUCATION:
Bachelors degree candidates in quantitative, STEM focused programs are preferred (e.g. Business, Computer Science, Engineering, Economics, Mathematics, Statistics)
Demonstrated experience with, and knowledge of, tools and techniques will also be considered.
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Staff Machine Learning Scientist | Coursera |
Job Overview:
At Coursera, our Data Science team is helping build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.
We are looking for a Staff Machine Learning Scientist with expertise in fields of recommender systems, search ranking, and personalization to join our Data Science team. In this role, you will be responsible for developing and deploying state-of-the-art machine learning algorithms supporting recommendation, ranking and personalization applications. As a senior member of the team, you are expected to partner with the Product team to drive the AI vision for the mentioned applications for Coursera and furthermore, to provide technical mentorship to junior ML scientists in the team.
Responsibilities:
Develop and deploy state-of-the-art recommendation, search ranking and personalization ML/AI models
Use statistical and optimization techniques to build high performing recommendation, search ranking and personalization models
Partner with UX research, UX design and Product teams to understand customer behavior and incorporate the information into advancing your models
Partner with Product stakeholders to define a long-term AI vision for the recommendation, search ranking and personalization domains and help the Product stakeholders with the roadmap planning
Partner with Engineering team to establish a vision and support the development of an scalable ML infrastructure
Provide technical mentorship to junior ML Scientists and act as a technical leader for recommendation, search ranking and personalization domains
Basic Qualifications:
A college degree in Computer Science, Software Engineering, Mathematics or other related fields
5-7 + years of industrial experience developing advanced ML/AI models in one or more of the following areas: recommender systems, search ranking, and personalization applications
3+ years of demonstrated experience independently balancing priorities and managing projects across multiple stakeholders
Strong proficiency in machine learning and deep learning technologies particularly with experience building large-scale ML applications, pipelines, model architecture design, training in recommendation and ranking
Strong Proficiency in data structures, algorithms and online experimentation. Proficiency in SQL and at least one programming language such as Python or Java.
Experience with distributed processing architecture and ML/data workflow management platform (Spark, Databricks, Airflow, Kubeflow, etc)
Excellent communicator - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion
Preferred Qualifications:
Ph.D. in Computer Science, Software Engineering, Mathematics or other related fields.
Experience in software system design.
Experience working with cloud-based solutions, especially AWS.
Knowledge in c++ or c# would be also preferred.
If this opportunity interests you, you might like these courses on Coursera:
Deep Learning Specialization
Machine Learning Engineering for Production (MLOps) Specialization
#LI-CAP1
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Senior Machine Learning Scientist Search | Coursera |
Job Overview:
At Coursera, our Data Science team is helping build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.
We are looking for a Senior Machine Learning Scientist with expertise in fields of search ranking and personalization to join our Data Science team. In this role, you will be responsible for developing and deploying state-of-the-art machine learning algorithms supporting search relevance, ranking and personalization applications. As a senior member of the team, you are expected to partner with the Product team to drive the AI vision for the mentioned applications for Coursera and furthermore, to provide technical mentorship to junior ML scientists in the team.
Responsibilities:
Design, build and deploy state-of-the-art ML/AI models to improve search relevance, ranking and personalization experience.
Leverage large-scale data and ML/AI techniques to improve search relevance and ranking including indexing, query understanding, retrieval and ranking. Provide the user with results that best satisfies their intent and information seeking needs.
Work closely with Engineering team to establish a vision and support the development of an scalable ML infrastructure
Partner with Product partner and cross-functional team to understand customer behavior and incorporate the information into advancing your models
Partner with Product stakeholders to define a long-term AI vision for search relevance, ranking and personalization domains and help the Product stakeholders with the roadmap planning
Provide technical mentorship to junior ML Scientists in the team.
Basic Qualifications:
A college degree in Computer Science, Information Retrieval, Machine Learning, Mathematics or other related fields
4+ years of industrial experience developing large-scale ML/AI models, applications, pipelines and architecture in search ranking and ML/AI personalization supporting search applications.
3+ years of demonstrated experience working with product teams and other cross-functional teams.
Excellent knowledge in search and information retrieval fundamentals including indexing, query understanding, retrieval and ranking
Strong proficiency in data structures, algorithms and online experimentation.Strong proficiency in at least one modern programming language such as Python, Java, C, C++. Proficiency in SQL.
Experience with distributed processing architecture and ML/data workflow management platform (Spark, Databricks, Airflow, Kubeflow, etc)
Preferred Qualifications:
Ph.D. in Computer Science, Information Retrieval, Machine Learning, Mathematics or other related fields.
Experience in software system design.
Experience working with cloud-based solutions, especially AWS.
If this opportunity interests you, you might like these courses on Coursera:
Deep Learning Specialization
Machine Learning Engineering for Production (MLOps) Specialization
#LI-MB2
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Senior Data Scientist | Dick S Sporting Goods |
A Senior Data Scientist in the core data science team is responsible for overseeing and contributing to the development of machine learning models and products that drive meaningful business value. The Senior Data Scientist is a leader within a business unit, which leverages their business knowledge and technical expertise to define and deliver on the vision of machine learning within their facet of the business. Senior Data Scientists are directly responsible for supporting other more junior Data Scientists who also operate in their business unit both technically and professionally.
Job Duties
Machine Learning and Statistical Applications
Build statistical and machine learning models using R and Python to improve products or accomplish business objectives
Utilize statistical methods to understand and communicate findings from complex datasets
Analyze and organize various data sources to assist in providing analysis that drives business outcomes
Prototype new ideas to quickly determine feasibility and business value
Leadership Responsibilities
Work with Product Management/Business Leadership to define data science roadmap within context of the business
Create presentations and other materials to assist in creating buy-in and understanding with non-technical stakeholders
Assist in developing more junior data scientists both technically and professionally
Lead business facing conversations that explain technical methodologies and implementations in a approachable manner
Additional Technical Responsibilities
Assist in implementing production level model applications
Collaborate with data engineers to collect new data and improve data quality
Gather data from enterprise data sources using SQL
Improve model delivery by continuing to develop data science standards for production level code
Continuous Learning
Research advancements in the field to discover new opportunities for development
Share findings and learning opportunities with fellow team members through mini-seminars and demonstrations
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Data Scientist | Dick S Sporting Goods |
The core data science team at Dick’s Sporting Goods is seeking a data scientist to support product teams within the technology organization. Currently the team has a variety of work ranging from natural language processing to supply chain optimization, and is looking to continue to expand its footprint by bringing on another diverse teammate.
Machine Learning Applications & Analyses
Apply machine learning and data mining techniques to extract actionable insights from large-scale, high-dimensional data.
Build and put into deployment algorithmic solutions that focus on improving the customer’s experience and driving value both in-store and on our website.
Compile data from disparate data sources leveraging both qualitative and quantitative data to build models.
Communicate complex analyses and models to all levels of leadership across the organization.
Client Liaison
Work with a variety of business units throughout the organization to help translate their requirements into specific model or research based deliverables.
Continue to improve communication and collaboration patterns amongst the various analytics teams and business units.
Continuous Learning
Research advancements in the field to discover new opportunities for development
Share findings and learning opportunities with fellow team members through mini-seminars and demonstrations
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Senior Data Scientist | Analytica |
Analytica is seeking a Senior Data Scientist to support long term federal client engagement across health or federal financial regulatory environments. The position will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze public sector use cases. The ideal candidate will enjoy engaging with stakeholders, learning their business problems, providing technical guidance, and evangelizing the team’s data science capabilities.
Analytica has been recognized by Inc. Magazine as the fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. As a core member you’ll work with a diverse team of professionals to solution matters, architect nuisances, and come up with alternatives. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.
This position is supporting clients in the DC Metro area.
Requirements:
Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with identifying the key determinants for modeling that exist in the business process and within existing data sets, as well as selecting evaluation protocols (model techniques).
Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using technologies such as Python or R.
Modeling - Candidates will have practiced skills and experience selecting and applying modeling techniques to fit the business problem. Ideal candidates should be able to apply machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
Validation - Candidates will have experience investigating, testing, reporting, and justifying model results.
Visualization – Candidates should be comfortable presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges
Qualifications:
Bachelor's degree in Statistics, Mathematics, Physics, Computer Science, or another quantitative field; Master's degree or PhD a plus
Seven (7)+ years in data science, data engineering, as a statistician, or a related quantitative field
Strong problem-solving skills, leveraging domain knowledge, information technology, and data science techniques
High degree of experience utilizing Python or R to support the development of complex advanced analytics use cases
Experience implementing unsupervised (e.g., clustering), semi-supervised (e.g., label propagation) and supervised learning (e.g., ensemble classifiers) algorithms, and when it is appropriate to use each is a strong plus
Ability to providing complex data analysis, evaluation and communication to identify and analyze complex financial, securities, tax or health data as required
Ability to implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
Experience querying data from relational databases using SQL
Experience with development of predictive analytics models
Experience working in an Agile project management environment
Must be a U.S. Citizen and be able to obtain and maintain a security clearance
About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA certified HUBZone and 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
As a federal contractor, Analytica is required to verify that all employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.
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Data Scientist | Analytica |
Analytica is seeking a Data Scientist to support one or more dynamic, long-term federal government data science programs. The company works as a trusted advisor to U.S. federal government clients in health, civilian, and national security missions. The ideal candidate will be comfortable as a key member of a multi-disciplinary team working in an Agile environment to produce advanced analytics solutions.
Analytica has been recognized byInc. Magazine as one of the 250 fastest-growing US small businesses for three consecutive years. We work with U.S. government clients to build data-driven products and cultures that make an impact on our daily lives. Analytica offers competitive compensation with opportunities for bonuses, employer-paid health care, unlimited training funds, and a 401k match.
Requirements:
Feature Engineering and Attribute Evaluation - The candidate must demonstrate experience with identifying the key determinants for modeling that exist in the business process and within existing data sets, as well as selecting evaluation protocols (model techniques).
Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using technologies such as Python or R. Candidates will explain various methods you have applied using common pre-processing functions.
Modeling - Candidates will have practiced skills and experience selecting and applying modeling techniques to fit the business problem. Ideal candidates should be able to apply machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
Validation - Candidates will have experience investigating, testing, reporting, and justifying model results.
Visualization – Candidates should be comfortable presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges
Qualifications:
Bachelor's degree in Statistics, Mathematics, Physics, Computer Science, or another quantitative field; Master's degree or PhD a plus
3+ years in data science, data engineering, as a statistician, or a related quantitative field
High degree of experience in Python to support the development of complex statistical use cases
Experience implementing unsupervised (e.g., clustering), semi-supervised (e.g., label propagation) and supervised learning (e.g., ensemble classifiers) algorithms, and when it is appropriate to use each is a strong plus
Experience pulling and organizing data from relational databases using SQL
Experience working in cloud environments such as AWS, Azure or Databricks
Experience working in an Agile project management environment
Must be a U.S. Citizen and be able to obtain and maintain a security clearance
About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The Software Engineering Institute (SEI) appraises the company at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
As a federal contractor, Analytica is required to verify that all employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.
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Data Scientist Advanced Analytics | General Motors |
Description
Remote - This position does not require employee to be on-site full-time to perform most effectively. The Employees role enables them to work off-site on a permanent basics. In the USA this is an employee who lives more than 100 miles from their designed, Primary worksite
Staff Data Scientist
The Applied Analytics COE team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The Staff Data Scientist will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company’s most critical business areas.
Responsibilities include the following:
Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across a variety of business units Apply Data Science and Modeling techniques to drive data driven decision making and solve complex business problems: Create breakthrough solutions, performing exploratory and targeted data analyses Build predictive models and machine-learning algorithms Analyze large amounts of diverse information to discover trends and patterns Undertake preprocessing of structured and unstructured data Monitor and sustain model effectiveness Combine models through ensemble modeling Present complex information using data visualization techniques Plan and execute projects, including direction and oversight of technical work of Data Scientists and Senior Data Scientists Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing Identify long-term technical innovations and collaborate with the Analytics Research COE Act as a mentor to junior level Data Scientists and as an expert level resource for the team
Skills & Qualifications:
Minimum seven years of experience developing, deploying and monitoring performance of large analytic data sets and statistical forecasting models Minimum seven years of experience utilizing several of the following toolsets: Scripting Languages: Python or R Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent Big Data Tools: Hadoop, Spark, SQL and NoSQL Database experience Data Visualization: Tableau, Power BI or similar Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality Strong listening and communications skills Highly collaborative work style Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics
Education and Experience:
PhD. or Master’s degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field Preferred academic or work experience in a data-intensive field or industry
Additional Description
Compensation:
The median level of salary compensation for this role is ($140,000). Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-Remote
This position may be filled with a mid or senior level candidate.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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Machine Learning Scientist Open From Asst To Director Level | Moody S |
Imagine what we can DEVELOP with you
True leaders are always learning. Moody’s is home to information architects, thinkers, builders, and passionate problem solvers, a collection of diverse viewpoints working together to bring out our best. Join us. Forward Together.
Moody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more atmoodys.com.
At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity
Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace.
Department
Predictive Analytics – AI/ML Group
In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning systems. Our engineers and researchers are responsible for architecting and developing these ML services end-to-end overcoming unique challenges that involve building systems that have high throughput availability, consistency, and low latency. The Predictive Analytics AI Group is the central group in Moody’s Analytics comprising of researchers and engineers working together to build data-driven customer-facing products, as well as the necessary infrastructure to support the ML services following the industry leading practices. The group has worked on and built some award-winning AI products like Compliance Catalyst, Adverse Media Monitoring, Coronapulse, Quiqspread, News Edge 2.0, ESG and has participated in various internal automation initiatives.
Role/Responsibilities
Broadly, we are looking for colleagues who are passionate about:
Natural language processing
Information retrieval
Information extraction
Graph Neural Networks
Recommender systems
Knowledge graphs
Explainable AI
We’ll trust you to:
Research, Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace
Work on POCs and research prototypes
Provide thought leadership in machine learning
Represent Moody’s Analytics at scientific and industry conferences
Lead collaboration with colleagues and academia to publish research findings in leading academic venues such as ACL, EMNLP, NAACL-HLT, AAAI, KDD, CIKM, SIGIR, ECIR
Collaborate with colleagues on production systems and applications
Qualifications
You’ll need to have:
Ph.D. in CS, ML, Math, Statistics, Engineering, Quant, or relevant industry experience.
Publication record in top-tier academic conferences and journals
Proficiency in modern programming languages such as Python
Proficiency in leading research projects
Nice to have:
Experience with MLOPs technologies and workflows
Experience in working with engineering teams on taking research prototypes to production
Must be fully vaccinated for COVID-19 (i.e., at least 2 weeks after last dose) and, if hired, present proof of vaccination on start date, as determined by Moody’s.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [email protected]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.
For Colorado-based roles only: the anticipated base salary range for this position is $ [131,500] to $ [190,600], depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for annual performance incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
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Applied Scientist | Afresh |
About the roleThe Prediction, Optimization, and Planning (POP) team builds Afresh's core replenishment technology. Our models are directly responsible for ordering millions of dollars of fresh inventory across the world every day. Fresh food ordering is an extremely complex high-dimensional decision-making problem. We face the complex challenges presented by decaying product, uncertain shelf lives, varying consumer demand, stochastic arrival times, extreme weather events, and tight performance constraints (to name a few). We tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies.
We are looking for an Applied Scientist to lead the R&D work at Afresh. You will take your existing knowledge of forecasting, simulation, and stochastic optimization and apply it to the challenging and important problem of perishable inventory control. You will research, implement, and rigorously validate improvements to our core replenishment system. This will include modeling consumer demand, item-level perishability, and complex multi-echelon supply chains. Your work will be visible from day one, will make a substantial impact on decreasing food waste, and will lead to fresher, healthier produce for millions of people across the world.
You will work on improving the core models of our system: demand forecasting, inventory optimization, and simulation. You will also lead research development for new product and business challenges. You will model the complex problems of inventory decay, promotions, price elasticity, and inventory uncertainty, and implement solutions to multi-stage and multi-echelon inventory optimization problems.
In your first 3 months, you will acquire an encyclopedic knowledge of perishable inventory control and Afresh's core decision making problem. You will gain proficiency in our data manipulation, transformation, and simulation tools, and you'll test an experimental improvement to our demand forecasting, ordering, or simulation models.
By the end of your first 6 months, you will have proposed, implemented, and rigorously validated an improvement to our core modeling system.
By the end of your first year, you will have led the implementation of fundamental changes to our core system and led research into new product areas (warehouse level replenishment, production planning).
We need to make optimal ordering decisions for millions of items for weeks at a time, and our system must be fault-tolerant to an extreme. Our partners rely on our system to order millions of dollars of inventory every week, and so your code must be rigorously validated, tested, and bug-proof. This is not an analytics team.
Skills and experience
5+ years of industrial or academic experience building systems that deal with large-scale decision making under uncertainty. Some possible prior research areas are inventory optimization, supply chain management, network optimization, forecasting, game theory, decision analysis, or stochastic and approximate dynamic programming.
Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English and easily translate business requirements into constrained optimization problems.
Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc). Knowing Python before joining is not required.
PhD in Operations Research, Industrial Engineering, Computer Science, Electrical Engineering, or related quantitative field
The above represent attributes our ideal candidate possesses. We encourage all highly qualified candidates to apply, even if they do not fulfill all the listed criteria
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Sr Data Scientist Data Science And Engineering Experimentation Dse | Netflix |
At Netflix, our mission is to entertain the world. With 200+ million paid members in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages, Netflix is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet, and continuously improving and personalizing how content is presented around the globe.
We are seeking Sr Data Scientists for a range of teams within Data Science and Engineering. From owning experimentation within the Open Connect network, building sophisticated tools on a world-class experimentation platform to provide seamless quality of experience, driving Growth and Membership of Netflix Platform, to unlocking the power of data in highly creative editorial creative space, evaluating the performance and optimizing personalization algorithms to deliver recommendations or building sophisticated experimentation tools - we have a few areas within which we are seeking Data Scientists driven by curiosity and passionate about working with a range of stakeholders.
As a Data Scientist, you will be partnering with a diverse range of cross-functional business partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have a significant business impact and implications for our users. You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning. This is a high-impact role in which you will have a direct influence on how product decisions are made.
In this role, you will:
Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems Lead the design, analysis, and interpretation of experiments Proactively perform data exploration on engagement behaviors to discover future opportunitiesIdentify, compute and validate the appropriate metrics to measure success in a product areaCultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.Present your research and insights to all levels of the company
We are looking for:
Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field5+ years relevant experience with large scale data Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settingsStrong product knowledge and intuition - ideally utilized in consumer/ or user interface settings or internally serving technical audiences such as engineers.Demonstrated ability to communicate and drive product change across a variety of stakeholders Strong SQL skillsStrong Quantitative Programming skills in Python or RAbility to work independently and drive your own projectsAbility to communicate technical and statistical concepts clearly and concisely among audiences at many different levels. Embodies the Netflix values while bringing a new perspective to continue improving our culturePlus: Experience in building real-world machine learning models with demonstrated impactPlus: Experience creating data products and dashboards such as TableauPlus: Experience in building causal inference solutionsPlus: Familiarity with software engineering practice and working with APIs
Curious to learn more? Thisblog post describes the role of experimentation at Netflix.
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Subsets and Splits