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Senior Data Scientist Guidewire Analytics | Guidewire |
Guidewire is searching for a risk modeling expert to empower our captivating story of vision, strategy, and disruptive impact, encapsulated in our portfolio of solutions for the $2T global insurance industry. Your work will convince the actuaries and product managers of the world’s largest insurers that Guidewire augments their superpowers and redefines the frontier of the possible. You will achieve this feat by taming the complex world of geo AI into elegant digital output that compels people to behold that, once they see what the future holds, there is no going back.
Who We Are, What We Believe, & What We Build Guidewire is the market leader that 400+ insurance companies trust to run their mission-critical platform. Every second, we support underwriters crafting guidelines and actuaries making rates. We believe that making a great decision should not require 100 in-house data scientists. Our products range from cyber risk quantification to potent ML sandboxes. We are a post-IPO company with the vision to revolutionize insurance. There is a lot to be done.
Who You Are
You are bold, evangelical, deeply strategic, and fast moving. You persuade your audience into action with an exceptional command of language, perfect tone, and masterful articulation of concepts in both letter and form. You innately visualize the intersecting landscape of market needs, competition, accuracy, and positioning with departments of insurance. When you aim, you hit the bullseye and measure success numerically. You are equally comfortable collaborating on vision as running a highly organized and transparent process. You are comfortable working within a highly matrixed organization and passionate about inspiring enthusiasm across marketing, product,and sales teams to vanquish market-inhibiting challenges.
Vision:
Evangelize our vision, add your novel perspective, publish thought pieces, and create thirst for an intrepid future
Deeply understand market challenges to develop innovative solutions with laser focus and expediency.
Bring to market the breakthroughs that eradicate insurance complexity with powerful and disarming elegance.
Leadership:
Amplify an exceptional culture of curiosity and craftsmanship that renders the impossible possible
Gracefully partner with all constituents, including other matrixed groups, to achieve our bold mission
Execution:
Deliver maximum-impact model specifications, regulatory positioning, and support for development of collateral that supercharges our reach and ARR growth across multiple
industries including insurance, real estate, and ESG.
Use project milestones together with effective and accurate documentation to communicate and track important deadlines. Leverage triannual model deployments to enable a successful timely launch of all data solutions.
Build trust via transparency, frequent communication, and consistent delivery of expected outcomes with exceptional quality.
Operate a pipeline of thought leadership (white papers, blogs, podcasts) that signals and cements our innovative spirit and insurance industry expertise.
Work with corporate marketing teams to deliver impactful campaigns and collateral.
Qualifications:
7+ years' proven track record in development of geospatial and statistical risk assessment products in P&C domain (3+ years as team lead)
Strong strategic business acumen with intuitive mathematical prowess & detail orientation that is effective and meaningful, but not paralyzing.
Demonstrated confidence and business acumen to leverage analytics and data services to solve any insurance challenge combined with creativity that can be required for regulatory hurdles.
Proficient in Python or R, SQL, ArcGIS or QGIS, and GeoData with Advanced Microsoft® Excel skills
PhD, FCAS, or CPCU a plus
$141,000 - $211,000 a year
The US base salary range for this full-time position is $141,000- $211,000+ bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
#LI_Remote
#feature
#datascientist #ArcGIS #python #geospatial
About Guidewire
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 500 insurers in 38 countries, from new ventures to the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.
For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.
Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to (650) 356-4940 or [email protected]. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, call (650) 356-4940 or e-mail [email protected] to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.
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Sr Data Scientist | Medeanalytics |
The Senior Data Scientist will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional data sets. The Senior Data Scientist uses a flexible, analytical approach to design, develop, evaluate, and deploy robust solutions leveraging innovations in data science, machine learning, and predictive modeling techniques. To do this job successfully, you need exceptional skills in statistics, data modeling, advanced mathematics, and programming. The Senior Data Scientist should be able to independently complete responsibilities.
Essential Duties and Responsibilities:
Problem Definition
Collaborate independently with product teams and clients to translate real-world healthcare issues into well-defined problem statements and requirements to build out mathematical frameworks and data science solutions.
Data Cleaning and Exploration
Select appropriate datasets and data representation methods.
Process, cleanse, and verify the integrity of data used for analysis and modeling.
Use strong programming skills to explore, examine, and interpret large volumes of data in various forms.
Develop data structures and pipelines to organize, collect, and standardize data used in data science workflow
Feature Engineering
Select influential features, as well as develop additional features, using machine learning techniques for use in model development.
Model Development
Design, develop, and validate data models and algorithms used for prediction, classification, pattern detection, and other insights related to healthcare issues.
Develop documented, maintainable code.
Develop and utilize unit tests to validate functional correctness and completeness, verify correct error handling, check input/output data, optimize performance, and identify and fix defects.
Model Deployment
Deploy and deliver AI/ML products as embedded algorithms into existing products or deploy them into production as microservices.
Work closely with product development teams to design, build, manage, and test APIs.
Collaborate with product teams and engineers to coordinate the implementation and QA of algorithms and other data science solutions.
Continued evaluation and maintenance of models throughout their lifespan.
Model Documentation
Document projects including problem definition, data gathering and processing, detailed set of results, and analytical metrics.
Communication of Results
Use data visualization techniques to build presentations, dashboards, and reports to effectively communicate analytical results which drive insight, recommendations, and solutions.
Present compelling, validated findings from exploratory and predictive data analysis to all levels of the organization, including peers, senior management, and customers.
Mentorship
Peer review data science code and other product artifacts to ensure technical, logical, and procedural correctness. Validate assumptions and review for hidden biases.
Serve as a resident data expert and share best practices/approaches for statistics, machine learning techniques, data modeling, simulation, and advanced mathematics.
Provide mentorship and guidance to other members of the data science team.
Essential Education, Experience, and Interests:
Degree with a quantitative element (e.g. mathematics, statistics, economics, engineering, computer science, applied math, etc.) or 5+ years equivalent job experience.
Strong proficiency with Python, Jupyter Notebooks, and standard Python data science libraries including, but not limited to: Pandas, Numpy, and Scikit-Learn
Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering, and data visualization.
Experience with cross-functional collaboration and project ownership.
Experience building microservices, preferably using Flask and Gunicorn.
Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable.
Proficient understanding of Git.
Knowledge of health care terminology. (e.g. HRGs, diagnosis/procedure codes, etc.) Experience working with both payer and provider data preferred.
Preferred experience with Amazon Sagemaker, and Oracle
Experience with SonarQube, unit test, coverage, and nosetests for code quality testing preferred.
Experience with Docker, Postman, and REST APIs preferred.
Experience with Vertica, MongoDB preferred.
Compensation Information:
Base Salary Range: USD $100,000 - $150,000
**Individual compensation packages are based on various factors unique to the candidate, including skill set, relevant experience, qualifications, and other job-related reasons.
This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.
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Sr Data Scientist Namer Emea | Zapier |
Hi there!
We're looking for Senior Data Scientists to join the Data Insights team at Zapier. Data Insights is responsible for driving impactful insight, experimentation, and quantitative research at Zapier. We work across Product, Growth & Revenue, Marketing, and Support, steering our business stakeholders to make data-informed decisions and deepening business understanding of opportunities and risks.
Our Data Scientists are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. We’re hiring for a range of zones (NAMER/EMEA), so if you are a creative quantitative analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you!
If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…
Our Commitment to Applicants
Culture and Values at Zapier
Zapier Guide to Remote Work
Zapier Code of Conduct
Diversity and Inclusivity at Zapier
About You
You are a skilled written communicator. Zapier is a 100% remote team and writing is our primary means of communication. You communicate complex technical topics clearly and in an approachable way.
You have hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and operations problems.
You have proven stakeholder management expertise. As a collaborative thought partner, you're gifted at explaining your findings clearly to a non-technical audience. You’re also excited by helping your team and stakeholders develop KPIs and self-serve dashboards. We believe in empowering our stakeholders to build their own dashboards and own their own first-order analysis.
You’re technically competent with relevant analytics tools (e.g. Python or R), including at least one SQL dialect - they’re all about the same; we happen to use Redshift.
You have deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of at least one data visualization tool. We primarily use Looker.
You combine your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing). This includes demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques).
You care about the details and understand that without high-quality instrumentation, we cannot drive high-quality, impactful insights.
You enjoy collaboration and knowledge sharing. You appreciate our team’s values of eagerness to collaborate with teammates with any level of statistical knowledge, iterating over your deliverables, and being curious.
You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply while iterating as needed.
Things You’ll Do
Zapier is a fast-growing and remote-first company, so you'll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with:
Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Work with business teams to design, analyze and interpret experiments that help them to improve these metrics.
Drive proactive analysis/research into high-potential green fields.
Use a variety of statistical methods to explore, discover and present user and market insights in order to proactively guide a range of business decisions, such as how Zapier strategically positions itself in the automation market.
Ensure all teams have insight to data and can answer their own first-order questions.
Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.
Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues.
Tools you’ll probably use include AWS Redshift, SQL, Looker, Amplitude, DBT and Python or R.
As a part of Zapier's all-hands philosophy, help customers via support to ensure they have the best experience possible.
Zapier Compensation Guiding Principles
We believe all Zapiens should be rewarded competitively and equitably, using practices that are simple and transparent. This philosophy ensures we’re able to find, grow, and retain exceptional people from a broad range of backgrounds. Here’s how we define our compensation principles:
Competitive: Zapier pays well among the technology sector.
Equitable: Consistent pay practices; competency-based pay.
Simple: Pay is well understood, and pay practices are built for scale.
Transparent: Zapiens know how pay works, including how their pay is determined.
The pay ranges for this role are:
United States: min 138,300 mid 172,900 max 207,500 USD
Canada: min 138,300 mid 172,900 max 207,500 CAD
Europe: min 82,600 mid 103,300 max 124,300 EUR
A Candidate's compensation package is finalized once the interview process is concluded and accounts for experience, competencies (job knowledge, skills and abilities) and internal equity. We use a competency-based approach to base pay, which means we set pay for all Zapier employees based on their competency and skills demonstrated in their role. In alignment with that philosophy, the upper half of a pay range is typically reserved for individuals who have consistently demonstrated a high level of job knowledge and skills for their current role and level while at Zapier.
For more information on Zapier’s Total Rewards please click here.
How to Apply
At Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of education or companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.
After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!
Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base.
Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact [email protected].
Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.
#LI-Remote
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Staff Data Scientist Search Recommendation | Faire |
About this role
Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.
The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.
As a member of Search for the Data Science team you’ll be responsible for developing machine learning-powered search ranking models and adding personalization to our search and discovery. You’ll determine answers to questions like, how relevant is this product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
You’re excited about this role because…
You’ll be able to work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
You want to use machine learning to help local retailers and independent brands succeed
You want to be a foundational team member of a fast growing company
You like to solve challenging problems related to a two-sided marketplace
Qualifications
5+ years of industry experience using machine learning to solve real-world problems
Experience with search/query processing for product development
Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch,Solr, FAISS)
Strong programming skills
An excitement and willingness to learn new tools and techniques
Experience with relational databases and SQL
The ability to contribute to team strategy and to lead model development without supervision
Strong communication skills and the ability to work with others in a closely collaborative team environment
Great to Haves:
Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
Ability to quickly implement state of the art algorithms from an academic paper
Previous experience on graph neural network and/or language models and deep learning
Salary Range
California / New York: the pay range for this role is $203,000 - $279,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $183,000 - $251,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
|
Senior Data Scientist Search Recommendation | Faire |
About this role
Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.
The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.
As a member of Search for the Data Science team you’ll be responsible for developing machine learning-powered search ranking models and adding personalization to our search and discovery. You’ll determine answers to questions like, how relevant is this product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
You’re excited about this role because…
You’ll be able to work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
You want to use machine learning to help local retailers and independent brands succeed
You want to be a foundational team member of a fast growing company
You like to solve challenging problems related to a two-sided marketplace
Qualifications
3+ years of industry experience using machine learning to solve real-world problems
Experience with search/query processing for product development
Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch,Solr, FAISS)
Strong programming skills
An excitement and willingness to learn new tools and techniques
Experience with relational databases and SQL
The ability to contribute to team strategy and to lead model development without supervision
Strong communication skills and the ability to work with others in a closely collaborative team environment
Great to Haves:
Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
Ability to quickly implement state of the art algorithms from an academic paper
Previous experience on graph neural network and/or language models
Salary Range
California / New York: the pay range for this role is $173,000 - $238,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $156,000 - $214,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
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Senior Data Scientist Retailer | Faire |
About this role
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.
At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
As a Data Scientist on the Retailer team, you will work on solving shipping cost problems by leveraging machine learning models, engineering and analysis skills. You will help drive the adoption of the Ship-with-Faire (SWF) program among brands and optimize the SWF program economics.
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
What you’ll do
Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use information from carriers (USPS/UPS/FedEx) and be both performant and explainable.
Maximize customer retention while keeping contribution profits in check.
Develop an in-house utility that can expose information about the shipping cost predictions, making model debugging more efficient for internal stakeholders.
Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success.
Qualifications
Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, Predictive Modeling, or Deep Learning
Strong programming skills (Python, Java, Kotlin, C++)
Knowledge of statistical techniques such as experimentation and causal inference
SQL or other database querying experience preferred
An excitement and willingness to learn new tools and techniques
Salary Range
California / New York: the pay range for this role is $173,000 - $238,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $156,000 - $214,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
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Staff Data Scientist Algorithms Guest Science | Airbnb |
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
Understanding Who are our Guests and What they want is at the heart of providing a high quality user experience and informing thoughtful personalization of our online product. The core of the Airbnb platform is hospitality and we aim to become the ultimate host for our users, at every detail. To achieve such a goal, the Data Science team mines various collections of behavioral data to design and build machine learning models to understand our user experience and app performance. This derived understanding is used to inform product improvements that make the steps from search to booking easy and fast for guests.
The Difference You Will Make:
As ML data scientist you will be the hands-on Science Lead for technical projects that seek to develop and communicate an understanding of user behavior and app performance patterns. The Guest Data Science team works to identify, model and measure user intent at various stages of the user product journey and collaborate with a strong team of engineers to improve barriers and frictions in our online user experience. Our team works across a diverse collection of Airbnb’s largest datasets and we are committed to applying innovation and creativity towards extracting a foundational understanding of our user, amidst the richness and heterogeneity of their complex behaviors and preferences.
A Typical Day:
Focus time – To build machine learning prototypes, develop data mastery to uncover learnings, and formulate structured frameworks to classify our users’ online product experience and interpret their behaviors
Apply and experiment with state-of-the-art innovations to uplevel Airbnb status-quo approaches to technical problems
Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
Publish externally and engage with the scientific community to advance Airbnb’s standing
Your Expertise:
9+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in a quantitative field
Strong fluency in Python or R for hands-on IC work and advanced data analysis in SQL at scale
Comfort to collaborate with software engineers to understand complex systems and abstracted logs
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus
Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$185,000—$245,000 USD
Apply now
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Staff Data Scientist Algorithms Support Products | Airbnb |
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. Customer Support (CS) aims to build the world’s most loyal travel community through exceptional service. And AI has been and will continue to be the key to unlock timely, reliable, and empathetic solutions at scale.
As a Data Scientist working on Algorithms, CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to build scalable and robust systems to detect, mediate, and solve issues across a wide spectrum. You will be able to create meaningful impact through deep scientific understanding and interventions for Airbnb CS’s most critical challenges.
The Difference You Will Make:
For this role, we’re seeking an NLP expert to join the Customer Support Data Science team, and have a direct opportunity to contribute, influence, and lead in the CS x AI space by designing scalable scientific solutions for problems like:
Detect intents across various entry points with large scale unstructured data using NLP methods
Generate most helpful self-solve contents in line with Airbnb policy leveraging generative AI to automate low-complexity issues
Route high-complexity issues to agents with personalized strategy, incorporating user history and agent performance
Summarize customer journey and conversations with foundational or fine tuned large language models (LLM) to assist CS agents
Collect evidence from images and receipts to gauge monetary value of the request leveraging computer vision
A Typical Day:
Identify high impact business opportunities through data exploration and model prototype, translate business problem into scientific formulations
Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for machine learning models, drive scientific decisions, and quantify impact
Hands-on develop, productionize, and operate machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data
Build reusable, high-performing, scalable machine learning models with internal paved path tooling, incorporating third-party information and state-of-the-art innovations
Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
Publish externally and engage with the scientific community to advance Airbnb’s standing
Your Expertise:
9+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields
Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse
Deep understanding of Machine Learning lifecycle best practices (eg. training/serving, feature engineering, feature/model selection, labeling, A/B test), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)
Comfort to collaborate with software engineers to understand complex systems and abstracted logs
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus
Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience
Benefits:
Stock
Competitive salaries
Quarterly employee travel coupon
Paid time off
Medical, dental, & vision insurance
Life insurance and disability benefits
Fitness Discounts
401K
Flexible Spending Accounts
Apple equipment
Commuter Subsidies
Community Involvement (4 hours per month to give back to the community)
Company sponsored tech talks and happy hours
Much more…
How We'll Take Care of You:
Our job titles may span more than one career level. The starting base pay for this role is between $200,000 - $254,000. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Airbnb,Inc. can employ in states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: [email protected].
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$185,000—$245,000 USD
Apply now
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Sr Staff Tech Lead Core Ml Data Science | Airbnb |
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The mission of the Core Data Science team is to ensure that we are leveraging state of the art science at Airbnb for the highest possible impact on the business and the community. We do that by building reusable models and features that empower every DS team in the company; and by tackling the most technically challenging, high impact data science problems the company faces.
As a Tech Lead for the team's machine learning work you will be responsible for driving specific projects, setting technical strategy for the team's ML work and empowering more junior members of the team. The role requires partnering with engineers, product managers and other data scientists across the org, and a successful candidate will be able to influence these technical and non-technical partners in order to achieve the best outcome for Airbnb and its customers.
A key to success in this role will be to proactively search out opportunities for innovation across data science. Airbnb has a rich set of problems where technical innovation can have high returns. We've identified many of those, but we expect the right candidates to continue this process.
Some of the challenges you will face include:
Developing integrated trust and risk signals (e.g. embeddings, clustering) that be be leveraged across multiple defenses
Finding opportunities for step changes in model architecture -- e.g. leveraging Graph Neural Networks for applications with Trust, Payments and CS
Development of NLP-derived signals to use across the company
Utilizing Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behavior sequences, or how can we detect anomalies effectively
Devising optimization models to make optimal business decisions while minimizing risk
Innovating modeling frameworks in this adversarial setup, e.g., how can models collaboratively surface more risks, or how can models adapt to emerging patterns quickly.
Here are example traits we value:
Advanced degree in a quantitative field, e.g. Computer Science, Operations Research, Mathematics
9+ years industry experience
Experience taking research prototypes to production.
Proven ability to design analytical solutions to complex business problems and to partner cross-functional peers to tailor those solutions for the greatest possible impact.
Deep understanding of ML domains (e.g. NLP, computer vision, recommendation, anomaly detection, graph learning), algorithms (eg. deep learning, gradient boosted trees, optimization), and best practices, (e.g. skew minimization, A/B testing, feature engineering, model selection)
Strong programming (Python / Scala / Java / C++ or equivalent) and data engineering skills
Utilize OSS ML technologies such as PyTorch, TensorFlow, Spark, Airflow
Versatility to communicate clearly with both technical and non-technical audiences.
Publications or presentations in recognized Machine Learning and Data Mining journals/conferences is a plus.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. . This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application,, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$220,000—$270,000 USD
Apply now
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Principal Machine Learning Scientist | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian is looking for a remote Principal Machine Learning Scientist to join our Core Machine Learning team. The Core Machine Learning team builds and deploys ML modeling solutions to increase revenue generation, expand our active user base and enhance internal productivity and efficiency. This is a unique opportunity to work in a collaborative environment and implement the latest machine learning techniques, including LLM (large language models).
Your future team
The Core Machine Learning team sits within the Data Science group in the Atlassian Corporate Engineering Organization. We work with several business teams in GTM, growth, product, and many other teams providing machine learning infrastructure and modeling applications. Our team consists of ML scientists and engineers, and provides many opportunities for collaboration, knowledge sharing, and individual growth. The team is split geographically between the US and Australia, supporting partners across the regions.
You will report to the Core Machine Learning Senior Manager.
What you'll do
As a Principal Machine Learning Scientist, you will lead the development of advanced machine learning algorithms, collaborating with business partners, engineering, and analytics teams to personalize the customer buyer journey across several touch points which include paid ads, SEO content, web pages and in-product experiences.You will lead Generative AI projects aimed at improving customer conversion funnels, streamlining content and creative creation processes, and developing self-serve tooling to empower Atlassian with valuable data insights.Explain data science concepts to non-technical, diverse audiences and create a compelling story.Be a tech lead for more junior Machine Learning Scientists, providing technical guidance.
Your background
Master and above degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)5+ years of related industry experience in the machine learning domainExpertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)Experience building and scaling machine learning models in business applications using large amounts of dataExperience building NLP related applicationsFocus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"Agile development mindset, appreciating the benefit of constant iteration and improvement
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Principal Data Scientist | Ellucian |
Together we are powering the future of Higher Education
Here at Ellucian, we are motivated by a mission ~ the power of education to transform lives and change the world. We are the global market leader in EdTech for Higher Education, serving more than 2,900 customers and reaching over 26 million students in 50+ countries. We are dedicated to helping Higher Ed thrive by transforming their institutions to agile, digitally connected campuses that enable student success.
About the Opportunity
As the Principal Data Scientist, you will accelerate Ellucian's efforts to apply modern machine learning and predictive analytics to the challenges facing higher education institutions around the world. You will help shape Ellucian's next generation platform and ethical oversight that harnesses large scale data sets from Ellucian customers to help them efficiently achieve the best possible student outcomes.
Where you will make an impact
Evangelize the opportunities and benefits of using machine learning in Higher Ed to leaders at Higher Ed institutions around the world. Collaborate with internal product, marketing, and sales leaders to shape and amplify this message.
Educate and partner with internal stakeholders to shape strategy and governance around the expanded use of AI/ML throughout our products.
Collaborate with multiple product teams to understand the needs of customers in domains (student, financial aid, etc) that can be accelerated with AI/ML or predictive analytics. Understand their strengths and opportunities related to customer data. Build POCs to support these use cases and assist various product teams with productization. Create frameworks, best practices, and training to ensure teams are successful at productizing these models. Projects may include:
Predictive statistical models for areas such as student enrollment, student success, student wellness, donor giving, and job market trends
Natural language business intelligence capabilities leveraging LLMs
Benchmarking tools to enable institutions to quantify and analyze their performance relative to similar institutions
What you will bring
10+ years related work experience developing, designing and architecting enterprise-scale solutions
5+ years related work experience with data science and AI/ML
Experience evangelizing and implementing common architectural patterns, design patterns and best practices related to data science, AI, and machine learning in a multi-tenant SaaS environment
Passionate advocate for innovation and the ethical use of AI/ML and it's ability to transform higher education
Ability to bridge gaps across business areas, operational business units, infrastructure team, and development teams
Excellent interpersonal and communication skills. Comfortable presenting to technical and non-technical audiences both internally and with clients and business partners.
Ability to rapidly learn new technologies and practices, mentor and coach others and foster a culture of innovation
Demonstrated ability of strategic planning and tactical execution
Results oriented with relentless focus on successful customer adoption of innovative capabilities
Desired Skills/Knowledge/Experience
Strong expertise in machine learning, statistical modeling, and predictive analytics.
Experience in designing and implementing end-to-end machine learning pipelines, including data preparation, feature engineering, model selection, training, evaluation, and deployment.
Understanding of the associated ethical and privacy risks associated and experience shaping solutions accordingly
Deep understanding of common machine learning algorithms and techniques, such as regression, classification, clustering, deep learning, reinforcement learning, and natural language processing.
Proficiency in Python, SQL, and JavaScript, and familiarity with relevant libraries and frameworks, such as scikit-learn, TensorFlow, PyTorch, Spark, and LangChain.
Experience working with large and complex data sets, both structured and unstructured, and knowledge of data management best practices, such as data governance, data quality, data security, and data privacy.
Familiarity with AWS and ability to leverage cloud services for scalable and cost-effective data processing, storage, and analysis.
Proficiency with tools such as SageMaker, AutoML to accelerate machine learning
Knowledge of (or passion to learn about) the higher education domain and the challenges and opportunities facing institutions, such as student enrollment, financial aid, student success, student wellness, and fundraising.
What makes #Ellucianlife
Comprehensive health coverage: medical, dental, and vision
Flexible time off
Thrive Flex Program that allows you to contribute towards your health, financial or learning interests
401k w/ match & Bright Plan - to help you save for the future
Maternity & Paternity Leave
Charitable leave – 40 hours/year
Telemedicine
Wellness
Ginger (mental health)
Wellbeats (virtual fitness classes)
Rethink & Wellthy– caregiver support
Diversity and inclusion programs which provide access to internal employee resource groups
Tuition Reimbursement Assistance
Professional development opportunities
#LI-PB1
#LI-remote
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Senior Data Scientist Red Platform | Red Ventures |
What You'll Do
Research state of the art of machine learning, statistical modeling and optimization technologies, and its applications in digital marketing, digital media and e-commerce.
Create innovative data science solutions to create value for consumers and business by advancing technology ideas into proof of concepts, prototypes, and minimum viable products.
Initiate and lead the execution of data science research and product development projects often with a cross-functional, multi-disciplinary team. Collaborate with stakeholders to drive decisions.
Manage the created solutions end to end, from research to development, testing and deployment.
Act as an effective technical liaison to the business leaders. Works effectively across business, creative, and engineering groups to solve problems. Helps build a positive culture across technical and business teams.
Mentor and/or manage junior members on the team and serve as a subject matter of expertise of data science internally. Contribute to the cross-organization technology strategy and roadmap for data science.
What We're Looking For
4+ year professional experience as a data scientist and a MS or PhD degree in STEM with specialization in machine learning, statistical modeling or optimization
Expert knowledge of machine learning, statistical modeling and optimization, with expertise and experience in at least one of the following areas: marketing channel optimization, recommender systems, NLP, deep learning and reinforcement learning
Entrepreneur mindset with strong business acumen and capability of coming up with creative ideas to create value for consumers and business, proven track record of advancing research ideas into production
Proficiency in one or multiple data science programming languages such as R, Python and Spark (Python preferred)
Capability of communicating effectively with business and data science leaders on project status, timeline and technical results
Proficient at collecting and mining data from disparate data sources, and willing to dig deeper and understand the process that creates the data
Analytical and detail oriented with the ability to prioritize, execute and deliver projects on time
Capability of translating business opportunities into data science problems and defining the right project scope and performance metric to measure success
Must be comfortable with unstructured, fast moving and constantly evolving high growth environment
Committed team player who is proactive, takes ownership over the success of their projects, and works hard to support those around them
Applied experience with machine learning and optimization on large datasets; expertise in developing data science solutions at scale using distributed computing and cloud resources is a plus.
Compensation
Cash Compensation Range: $100,000-185,000* *Note actual salary is based on geographic location, qualifications, and experience.
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Who We Are
Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
If you are based in California, we encourage you to read this important information for California residents linked here.
#LI-KS1 #LI-REMOTE
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Principal Data Scientist Causal Inference Cnet Group | Red Ventures |
What You'll Do
Develop and implement state-of-the-art causal inference techniques to measure the impact of marketing campaigns on business outcomes.
Analyze large and complex datasets to identify causal relationships between marketing campaigns and business outcomes.
Build and deploy machine learning models to optimize marketing strategies and improve business outcomes.
Work closely with cross-functional teams including marketing, product, and analytics to develop insights and recommendations based on data analysis.
Communicate findings and insights to key stakeholders through clear and compelling data visualizations and presentations.
Collaborate with data engineers to develop and maintain data pipelines and infrastructure necessary for data analysis and model deployment.
Stay up-to-date with the latest advancements in causal inference techniques and contribute to the development of new methodologies and/or tooling to optimize and drive performance.
What We're Looking For
A PhD, Masters, or equivalent years of experience in a quantitative field such as statistics, mathematics, computer science, economics or related field.
Extensive experience with various causal inference methods such as double/debiased machine learning, instrumental variables, and synthetic control methods.
Proven experience applying causal inference techniques in a marketing setting.
Strong proficiency in machine learning techniques and programming languages such as Python or R.
Experience deploying ML models using APIs
Strong communication skills and ability to communicate complex data insights to non-technical stakeholders.
Ability to work independently and as part of a cross-functional team in a fast-paced and dynamic environment.
Strong problem-solving skills and ability to think creatively to identify new opportunities for business growth.
Committed team player who is proactive, takes ownership over the success of their projects, and works hard to support those around them
Compensation
Cash Compensation Range: $200,000- $250,000*Note actual salary is based on geographic location, qualifications, and experience.
This position is not eligible for visa sponsorship.
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Who We Are
Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
If you are based in California, we encourage you to read this important information for California residents linked here.
#LI-TL1
#LI-CNET
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Machine Learning Researcher Phd | Figma |
We’re looking for engineers with a background in machine learning & artificial intelligence to improve our products and build new capabilities. You'll be driving fundamental and applied research in this area. You’ll be combining industry best practices and a first-principles approach to design and build ML models and infrastructure that will improve Figma’s design and collaboration tool.
What you’ll do at Figma:
Drive fundamental and applied research in ML/AI, with Figma product use cases in mind
Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current models as well as enable the launch of entirely new AI-powered product features
Work in concert with other ML researchers, as well as product and infrastructure engineers to productionize new models and systems to power features in Figma’s design and collaboration tool
Explore the boundaries of what is possible with the current technology set and experiment with novel ideas
We'd love to hear from you if you have:
Recently obtained a PhD or equivalent experience in an industry research role in AI, Computer Science or a related field
Demonstrated expertise in machine learning with publication record in relevant conferences, or a track record in applying machine learning techniques to products
Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow)
Experience building systems based on deep learning, natural language processing, computer vision, and/or generative models
Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward
Experience communicating and working across functions to drive solutions.
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Read more about our team
Investing in Figma: The Decade of Design
How work is changing at Figma
Figma's next product is a multiplayer whiteboard called FigJam
Software Design Startup Figma Is Now Worth $10 Billion
Figma's Musical!
The Future of Design Systems is Automated
#LI-CC1
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Staff Data Scientist | Motive | |
Lead Data Scientist Pricing | Angi |
About the Role
Our Applied Data Science team is tackling challenges such as homeowner-contractor matching, forecasting key business metrics, and using predictive models to optimize consumer experience. This role will give you the opportunity to shape the vision and implementation of our 2-sided marketplace pricing strategy using state-of- the-art machine learning infrastructure and big data processing tools.
What you’ll do
Leading and developing a best-in-class data science pricing program
Creating a strategic pricing vision and develop initiatives aimed to accomplish the vision
Building productive and efficient relationships with stakeholders across marketing, data/analytics,
product, and finance
Creating mathematical and data driven solutions for difficult pricing problems at scale
Developing, maintaining, and monitoring the performance of production quality code
Learning the complex Angi ecosystem and historical pricing paradigms in order to be a subject matter
expert on the data, analysis, and modeling
Who you are
Master’s degree in Statistics, Applied Mathematics, Economics or similar quantitative field and/or 7+ years of experience in:
Performing quantitative analysis, predictive analytics, mathematical modeling and/or machine learning
Proven record of working closely with senior leadership
Experience with price elasticity, pricing strategy, and pricing in a 2 sided marketplace
Demonstrating creative problem solving skills to inform decisions, improve outcomes, and deliver
transformation through data
Developing predictive models and analysis using R and/or Python
Interacting with data using SQL
Excellent verbal and written communications skills
We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits:
The salary band for this position ranges from $175,000-$230,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living.
This position will be eligible for a competitive year end performance bonus & equity package.
Full medical, dental, vision package to fit your needs
Flexible vacation policy; work hard and take time when you need it
Pet discount plans & retirement plan with company match (401K)
The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
#LI-Hybrid
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Staff Researcher Machine Learning | Github 370E8D20 Ebc0 40B8 8280 1002A45B4Fe9 |
GitHub is looking for a Staff Researcher to join GitHub Next.
GitHub Next is Github’s advanced R&D team, tasked with building the future of software development. We created GitHub Copilot, the first large-scale application of LLMs, and we want to continue leveraging the power of machine learning to revolutionize GitHub and hence the world-wide community of developers and creators who rely on it for their daily work.
You will be working with other members of Next as well as colleagues from elsewhere in GitHub and Microsoft on providing machine learning solutions to these challenges. Our projects range from creating entirely new products like GitHub Copilot to integrating new ML-powered capabilities into existing GitHub surfaces, such as Copilot for Pull Requests. The common thread is that our projects exist at the intersection of research and practice.
Responsibilities:
Participate in projects to integrate machine learning into developer tools.
Apply pretrained models to solve problems for software developers.
Conceive, design, train and deploy machine learning models.
Contribute to the day-to-day running of Next: participate in our reading group, interviewing new candidates, and disseminating research results.
Required Qualifications:
Strong coding skills and coding experience
Practical experience in machine learning development, deployment, and optimization with evidence of successful project completion in industry or academia
Demonstrated interest and experience in developing and improving developer tooling, such as libraries, frameworks, and IDEs
Preferred Qualifications:
Experience in training and deploying large language models (LLMs) with advanced techniques such as transfer learning, attention mechanisms, and regularization
M.S. or Ph.D. in Computer Science or a related field with relevant coursework and research experience in machine learning
One or more publications in top machine learning and/or natural language processing conferences, such as ICML, NeurIPS, ACL, etc.
Demonstrated interest and experience in developing and improving developer tooling, such as libraries, frameworks, and IDEs
Location: In this role, you can work remotely from anywhere in the United Kingdom or onsite in GitHub’s Oxford office.
#LI-Remote
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Vp Data | Cohere Health |
Company Overview:
Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient’s healthcare experience, both in and out of the doctor's office. Founded in August 2019, we are committed to eliminating wasteful friction patients and doctors experienced in areas with nothing to do with health and treatment. To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved so that patients and doctors can focus on health, rather than payment or administrative hassles.
Opportunity Overview:
The technology group at Cohere Health has experienced rapid growth over the past three years. Each year, the team has doubled in size, and the group has grown from a small, tight-knit team to a large, diverse group of engineers and data scientists. We are seeking a leader to consolidate data engineering, data management, data science, and machine learning. The leader will foster greater cohesion between the functions and expand their capacity and capabilities to face the ambitious goal of eliminating unnecessary administrative burden from the US healthcare system.
Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
What you will do:
Lead the data engineering, data management, data science, and machine learning teams
Execute a continual planning process that delivers dependable results
Foster a culture of curiosity and discovery
Develop an organizational obsession with delivering high-quality data insights efficiently and effectively.
Collaborate with cross-functional teams, including product, design, and operations so that the company's data asset delivers outsized returns.
Manage and foster both formal and informal talent development activities.
Above all, strengthen the existing culture to make Cohere Health an employer of choice for top talent.
Your background and characteristics:
PhD or Master's degree in quantitative science or data engineering, or a related field
A minimum of 10 years of experience in data science, with at least 5 years of experience in a leadership role
Strong experience with iterative delivery methodologies such as Agile or Scrum applied to data science or machine learning teams.
Familiarity with R, Python, PyTorch, MLFLow, Spark, cluster technologies such as Kubernetes and EMR.
At least 5 years experience with healthcare or payer technology
The ideal candidate will have a proven track record of building and leading teams in a high growth environment.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
#LI-Remote
#BI-Remote
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Data Scientist | Zipline |
About Zipline
Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.
Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.
About You and The Role
We are looking for a highly skilled data scientist to join our growing Data team. As a key member of the Data team, you will be primarily responsible for designing algorithms that improve operational efficiency. In this role, you’ll work cross-functionally with members of our Operations, Engineering, and Data teams to identify opportunities, brainstorm solutions, and implement production-quality algorithms. The ideal candidate is excited about solving ML, optimization, and causal inference problems and partnering with our Engineering teams to deploy your solutions in our software. You'll tackle exciting challenges like designing algorithms to optimize aircraft allocation at our various distribution centers and improve on-time delivery rates for incoming orders. Secondary responsibilities include analyzing data produced by our hardware devices and contributing to our internal data science libraries to help teams across the company. Your work will enable the entire organization to make more informed decisions, innovate faster, and serve our customers better.
What You'll Do
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Develop algorithms iteratively, building in the right level of complexity to solve the business problem at hand and support future improvements.
Define success criteria for your models so that you can measure impact and changes over time. You’ll be expected to communicate findings and drive continuous improvements.
Collaborate with Software Engineers to implement algorithms in production that scale gracefully.
Collaborate with stakeholders to prioritize projects and define requirements.
Carry out analysis on data produced by our hardware systems and create insightful visualizations to share your findings.
Contribute to internal libraries to help other teams with their data science needs including visualization, prediction, optimization, and inference.
What You'll Bring
Advanced proficiency with Python and libraries commonly used for data analysis, e.g., Pandas, NumPy, SciPy, and Matplotlib.
Strong understanding of data modeling and statistical analysis.
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to communicate clearly with both technical and non-technical audiences.
Ability to work independently and manage multiple projects simultaneously.
Nice to haves:
Experience with Databricks or PySpark
Experience with productionizing data models
What Else You Need to Know
Location: This is a remote friendly role, but you do have the option to come into our South San Francisco office if you’re based in the Bay Area. If you are full-time remote, you must be able to travel to our headquarters in South San Francisco to work with stakeholders periodically (1-2 times per quarter, at most).
Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.
We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!
Please Note
We have received reports stating that certain individuals are reaching out to people under false pretenses, claiming to be Zipline employees, affiliates, agents, or representatives. They may seek to gain access to your personal information or to acquire money from you by offering fictitious employment opportunities or by claiming that they are contacting you on Zipline’s behalf.
Genuine Zipline employees or representatives will never ask you for money or payment in exchange for employment opportunities or other related services. Any such offer of employment or any other service in exchange for fees that claims to be from us is deceitful and part of a fraud.
If you believe you have been targeted by a fraudulent party, we ask that you immediately get in touch with us via email at [email protected] upon receiving a suspicious offer or claim.
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Data Scientist Forest Ecosystems | Planet |
About the Role:
We are looking for a passionate data scientist to join the Forest Ecosystems engineering team. We are on a mission to map, measure, and monitor the world’s forests using high resolution satellite imagery. Our team works with multi-sensor earth observations data, developing workflows that integrate measurements from Planet’s unique constellation with public data sources, including multispectral, LiDAR, and SAR data. We are developing object detection models to identify and count individual trees in high resolution imagery. This work will span spatial and organismal scales, counting both recently planted saplings and mature standing trees from sites around the world. You will contribute by developing consistent, scalable, and science-based instance segmentation methods using sub-meter satellite imagery. As a member of this team, you will have the opportunity to work with an experienced team of scientists and engineers, experiment with deploying your models at scale, and iterate with feedback from users and stakeholders. We are a small and growing team, with a highly collaborative culture, distributed remotely across USA and Canada.
Impact You’ll Own:
Develop novel methods to count and delineate trees in satellite imagery
Collaborate with the team to iteratively build and test our suite of forest-related data products with end users, who are often focused on conservation and restoration
Implement models as efficient python code that can be deployed at scale
Document and organize your work to be transparent and repeatable
Write external documentation, white papers and occasionally research papers
What You Bring:
PhD in forest ecology, environmental science, forestry or related
Solid understanding of machine learning or image analysis
Research or professional experience deriving tree attributes from sensor data
Fluency with geospatial technologies in python (e.g. GDAL, rasterio, shapely, etc)
Proficiency with Python in a Linux environment
Experience with version control and Git
Excellent technical communication and documentation skills
What Makes You Stand Out:
Experience training and deploying deep learning models
Experience with cloud compute and storage
Benefits While Working at Planet:
Comprehensive Health Plan
Wellness program and onsite massages in specific offices
Flexible Time Off
Recognition Programs
Commuter Benefits
Learning and Tuition Reimbursement
Parental Leave
Offsites and Happy Hours
Volunteering Benefits
#LI-REMOTE
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Manager Machine Learning | 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, and machine learning engineers who build and enable our core production models. The fundamental goal of the Machine Learning team is to explore new models and new data sets that can improve the accuracy of our models. With this goal comes near-limitless challenges to tackle, and that is one of the reasons why Upstart is such a unique opportunity.
The macro, metrics, and monitoring team, a part of Upstart machine learning’s personal loan underwriting team, is focused on monitoring and improving the performance of our underwriting models, particularly with respect to portfolio- and macro-level, rather than loan-level, performance. The team researches improvements to underwriting, including time-series portfolio-level predictions, adjustments to machine learning underwriting models to improve. The team also builds portfolio management models, researchers model performance metrics, and builds dashboards and reports on underwriting model performance.
As a Manager of Machine Learning, you will lead the macro, metrics, and monitoring team, managing data scientists and research scientists. We are also open to hiring an analytics-focused manager for the data scientists on the team. The manager will be directly responsible for ensuring Upstart’s personal loan underwriting models are originating loans that will achieve our lending partner’s target rates of return.
Position location: This position is available in the following locations: San Mateo, California; Columbus, Ohio; Austin, TX; or Remote USA
Time zone requirements: The team operates on the East/West coast time zones.
Travel requirements: This team has regular onsite collaboration sessions. These occur X days per Quarter at the San Mateo or Columbus offices. If you need to travel to make these meetups, Upstart will cover all travel related expenses.
How you’ll make an impact:
Lead small team of data scientist in building next-generation ML model monitoring framework
Apply knowledge of ML models to model risk monitoring to evaluate the impact of our models on our business and customers
Building dashboards to identify and remediate anomalies of model behavior in production
Improving and implementing automated model monitoring capabilities
Building automated model reporting and drift detection capabilities
Designing metrics and reports
Stay up-to-date with the latest developments in machine learning, risk monitoring, and artificial intelligence, and incorporate new techniques and best practices into our model monitoring processes.
Minimum qualifications:
Bachelor’s degree in quantitative area of study
1+ years as a data science or machine learning people manager or tech lead
Understanding of machine learning models and statistical methods
Coding proficiency, preferably in Python
Excellent quantitative critical thinking skills
Preferred qualifications:
Advanced degree in quantitative area of study such as statistics, operations research, finance, mathematics, or related field
Prior experience with dashboarding and ETLs is a plus
Consumer lending knowledge and/or experience within an ML-centric technology company is a plus
What you'll love:
Competitive Compensation (base + bonus & equity)
Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
Employee Stock Purchase Plan (ESPP)
Life and disability insurance
Generous holiday, vacation, sick and safety leave
Supportive parental, family care, and military leave programs
Annual wellness, technology & ergonomic reimbursement programs
Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
Catered lunches + snacks & drinks when working in offices
#LI-REMOTE
#LI-MidSenior
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Senior Data Scientist | Movable Ink |
We are looking for a Senior Data Scientist who will work with our Product and Engineering teams to create artificial intelligence based recommendations and insights extracted from modeling and analysis of very large sets including Movable Ink’s historical data. The ideal candidate is an expert at using large datasets of various kinds and presenting insights from those datasets to senior leaders. This data may include images, text and hypertext to find opportunities for computer vision, natural language processing. This candidate should have a passion for discovering solutions hidden in large data sets and working with stakeholders to create value for our clients.
This role will be reporting to the VP of Machine Learning
Responsibilities:
Design and development of Machine Learning models for propensity scores and creative attribute rankings and recommendations
Deliver strategy recommendations to internal and external stakeholders for maximizing customer success in using AI
Development of performance based score models using comprehensive set of features
Design, development, and presentation of insights and reports based on customer and market information
Create and enhance optimization algorithms and test setups for marketing campaigns
Collaboration with various stakeholders throughout the organization to identify opportunities for leveraging domain knowledge and data to create new features into the Artificial Intelligence based products
Mine and analyze data from a data warehouse to drive improvements in product development, marketing campaigns and business strategies
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop processes and tools to monitor and analyze model performance and data accuracy
Customer facing meetings to run both discovery and partner with key customers on the rollout of new models
Qualifications:
5-7 years of experience manipulating data sets and building statistical models, education in a quantitative field or equivalent working experience
Strong problem solving skills with an emphasis on statistical model development
Experience using statistical computer languages (Python and R) to manipulate data and draw insights from large data sets
Knowledge of a variety of machine learning techniques (clustering, decision tree learning artificial neural networks, etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with popular machine learning libraries such as TensorFlow, PyTorch, scikit-learn and scikit-image
A drive to learn and master new technologies and techniques
Experience or equivalent experiences querying databases and using statistical computer languages: R, Python
Experience using Google services: Bigquery, Cloud Storage, Vertex
Experience with visualization tools like Tableau, Looker
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The base pay range for this position is $220,000-$250,000/year, which can include additional on-target commission pay/bonus. The base pay offered may vary depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.
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Lead Data Scientist Us | General Mills |
Lead Data Scientist
POSITION OVERVIEW
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Lead Data Scientist at General Mills, you will apply your advanced expertise in machine learning, data mining, and information retrieval to design, prototype and build a next generation omnichannel measurement engine and services.
You will serve as a technical leader for an enterprise level omnichannel measurement data science initiative. You will be responsible for designing the analytic architecture, constructing machine learning models, and communicating with product owners, business partners and other data scientists.
The Lead Data Scientist role requires a set of specialized skills unique to the domain area. We are seeking an expert level data scientist with a demonstrated history of successfully leveraging analytic solution design across data science, ML engineering, and reporting. This role requires in-depth knowledge of marketing and eCommerce with a preference for CPG experience.
KEY ACCOUNTABILITIES
Work closely with data science leadership, engineering, and business partners to develop optimization and machine learning models using best in class tools and technology.Provide technical leadership within a product team through strong partnership and providing solution alternatives.Create production ready, scalable models that provide real time insights that align with General Mills technology standards.Serve as a senior leader as part of the data science leadership team- contribute to technical strategy, best practices, and team development.Coach and mentor data scientists on key technical and domain topics through solution and code reviews.Act as a thought leader in marketing and eCommerce data science techniques and represent the Digital and Technology organization.Engineer new features by using your business acumen to find new ways to combine disparate data sources. Partner with functional analytic teams to align and integrate solutions.
MINIMUM QUALIFICATIONS
Master’s degree in data science, computer science, engineering or related quantitative field or commensurate work experience in data science.7+ years of professional experience developing and deploying machine learning algorithms in a production environment.2+ years of professional experience in a consumer, marketing, eCommerce or media related role preferably in data science.Proficient in one or more coding languages including Python.Expertise with leading the development of large-scale AI and machine learning based models.Experience with cloud based AI platforms.Exceptional communication & collaboration skills to understand business partner needs & deliver solutions.Bias for action, with ability to deliver outstanding results through task prioritization & time management.
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States will be considered.Relocation support will not be offered to applicants within the United States.International relocation or international remote working arrangements (outside of the US) will not be considered.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
Salary Range The salary range for this position is $120500.00 - $201000.00 / Annually. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.
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Research Scientist Internship | Upstart |
About Upstart
Upstart is a leading AI lending platform partnering with banks to expand access to affordable credit. As we transitioned to being a public company, we’re now poised to leverage our domain expertise and revolutionize every aspect of lending and credit risk evaluation. We’ve recently expanded our offerings to include automobile refinancing and we plan to take on more verticals as the business grows.
By leveraging Upstart's AI platform, Upstart-powered banks can have higher approval rates and lower loss rates, while simultaneously delivering the exceptional digital-first lending experience their customers demand. Upstart's patent-pending platform is the first to receive a no-action letter from the Consumer Financial Protection Bureau related to fair lending. Upstart not only supports a large remote workforce, but also has offices in San Mateo, CA; Columbus, OH; and Austin, TX
Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!
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 Research Science Intern, with Upstart, you’ll have an opportunity to work with a mentor and have ownership for an impactful Machine Learning project. This may include building proof of concept or helping to productionalize ML 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, OH, San Mateo,CA or Remote
Time Zone Requirements - This team operates primarily on East Coast time zones.
What we're looking for:
Strong academic foundation and currently pursuing Master's or PhD in machine learning, statistics, mathematics, computer science or a related quantitative field of study
Comfort with Python programming
Predictive modeling experience is preferred
Strong sense of intellectual curiosity balanced with humility
Numerically-savvy with ability to operate at a speedy pace
Enthusiasm for and alignment with Upstart’s mission and values
Timeline:
We're currently considering individuals for 12-week internships from approximately May-September 2023. We are flexible on exact dates if needed.
Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together.
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Principal Data Scientist | Zillow |
About the team
The Strategic Analytics & Operations team is responsible for a metrics driven assessment of whether we are on track for our strategy and data driven insights to evaluate new strategic opportunities. The team covers three key functions: (1) Business Intelligence, (2) Metrics Operations, and (3) Strategic Insights. We collaborate with our most senior leaders to determine what we should be doing as a company, ensure we are successfully accomplishing what we said we would do and executing course corrections.
About the role
As a Principal Data Scientist, you will help to ensure we are measuring and evaluating our strategy and execution. You will also derive data driven insights to support the highest levels of strategy questions at Zillow. You will be partnering with our Strategy & Partnerships, Business Operations, Strategic Finance and M&A, and Investor Relations teams to understand business questions and creatively solve complex business problems with analytic solutions. You will be navigating large and messy datasets, selecting and applying the appropriate methodologies (model building, A/B testing, forecasting, opportunity sizing), designing experimentation frameworks, and collaborating with Data Science, Econ, and Insights teams to complete the analysis. You will proactively and strategically use data to identify “big picture” opportunities for the company, and share your insights to influence product and business leaders across the company.
This is an opportunity to leverage your curiosity, strategic mind, analytical skills, relationship building and presentation strengths to have a meaningful impact with a high level of exposure across the company. This is a high visibility team and role, with broad exposure to every part of our business and the ‘big picture’ of Zillow and exposure to key leaders across the whole company.
You Will Get To:
Influence key leaders in the business, product and data analytics using data driven insightsDrive recommendations on big picture company strategyProvide key inputs to our overall rhythm of business (e.g. monthly product and metrics reviews) Conduct ad hoc analysis and detailed modeling to surface opportunities for Zillow’s strategy and business You will work closely with Strategy & Partnerships, Business Operations, Strategic Finance and M&A, FP&A, Product Operations, leaders in product and the business and our executive team
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In California, Colorado, Connecticut, Nevada, New York City and Washington the standard base pay range for this role is $165,600.00 - $264,500.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Nevada, New York City and Washington and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
Strong business acumen and ability to break down business questions into analysis and insights needed to support recommendationsExcellent at understanding business strategy and requirements to build measurement solutions for use by multiple stakeholders throughout the companyAbility to jump in and conduct exploratory analysis and modeling; transform and distill combine complex and messy data into clear visualizations and actionable insights using appropriate methodology, including model building, A/B testing, forecasting, opportunity sizingAn expert in SQL, R/Python, Excel, and either Tableau, Mode, or other visualization software Practical knowledge of statistics Ability to deliver insights around business problems in a thoughtful and persuasive manner to senior leadershipCan find signal through noise and distill complex and detailed information into simplified content in oral and written formStrong project management skills with the ability to manage multiple priorities Highly adaptable, and able to thrive in ambiguous or uncertain environments
Qualifications
8+ years of experience in a combination of strategy, operations, consulting, and analytics rolesExperienced conducting quantitative data analysis using large datasets and data visualization toolsDegree in a quantitative field (e.g. science, engineering, economics, statistics). Advanced degrees preferred.
Get to know us
Zillow is reimagining real estate to make home a reality for more and more people.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Data Scientist | 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 is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don’t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.
Moody’s is a global integrated risk assessment firm that empowers organizations to make better decisions.
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
Department
In the Banking group, we help lending institutions make important decisions about their business, particularly when they are providing loans, managing risk, or conducting financial planning for the future of their institution. We do this with our innovative software and reliable analytics, helping them understand how to do their job better through training, learning solutions and advisory services. We are a dedicated team of experts in technology and financial analytics who understand what our clients need.
Role/Responsibilities
We are looking for a Data Scientist to join our Banking OU Data Science team and help us shape the future of the financial industry. In this role, you will use your skills in traditional statistical modeling, business intelligence, machine learning, and artificial intelligence to work on cutting-edge projects that will have a significant impact on our business. You will be responsible for developing and implementing data-driven solutions to complex business problems, and you will play a vital role in the evolution of our Lending, Risk & Finance Solutions, and the development of our Banking Platform.Key Projects include:
REMOTE BUT MUST RESIDE IN THE UNITED STATES
Smart Work Queue (SWQ) model combining different type of risk signals for CreditLens Monitor.
Develop feedback loops to continuously develop and train SWQ models based on user feedback.
Research on emerging AI, machine learning, deep learning solutions applied to structured and unstructured data and be conversant with the latest developments in these fields.
Assist with rollout out of Standard Insights dashboards for Banking products.
Perform data analysis and prototype data pipeline for Data Science needs and deployment of Sisense dashboards.
Extracting Insights from Credit Data: Utilize advanced data analytics and AI techniques to uncover valuable insights from credit data, driving better decision-making for our clients.
Responsibilities:
Collect, clean, and analyze large datasets.
Prototype BI dashboards and visualize the data.
Develop and implement data-driven solutions to complex business problems.
Build and deploy machine learning models.
Work with stakeholders to gather requirements and communicate results.
Stay up-to-date on the latest trends in data science and machine learning.
Maintain up-to-date documentation and contribute to the knowledge sharing within the team.
Qualifications
Bachelor’s degree in data science, computer science, statistics, economics, finance or a related field.
4+ years of experience in data analytics and data mining with strong understanding of data warehousing, data modelling and schema design.
Strong SQL skills to query data and understand the relationships among the datasets is required.
Strong programming skills in Python, R, or another statistical programming language.
Experience with Business Intelligence tools such as Qlik, Tableau or Sisense
Experience with machine learning and artificial intelligence.
Familiarity with NLP, and AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and DevOps tools (e.g., Jenkins, GitHub).
Experience working in Banking or Finance is a plus.
Excellent communication and presentation skills.
Ability to work independently and as part of a team.
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 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 US-based roles only: the anticipated hiring base salary range for this position is $108,500 to $157,250, 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 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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Senior Forecast Modeling Manager | Guild Education |
Guild is hiring a Senior Forecast Modeling Manager to scale the efficiency of a growing team within Financial Planning & Analytics. In this position, you’ll play a key role in building out and leading a team that uses data & analytics to effectively budget and forecast the client’s education benefit program.
In particular, we’re looking for a team member who can thrive in detecting patterns and themes, supporting a client-facing team that operates in a complex, high-touch environment. In this role, you’ll have a unique opportunity to work on innovative challenges that will allow us to mature our budgeting and forecasting processes, deepening relationships with clients.
As a Senior Manager: Forecast Modeling, you will:
Lead and build a team of analysts and data scientists to handle budgeting and forecasting for Guild's Employer Partners
Build and own scalable modeling solutions, toolkits, best practice documents, and a consulting approach that can be applied across Guild partner base
Manipulate and analyze complicated data sets, partnering as needed to improve data quality and infrastructure
Influence critical business decisions by providing insights supported by reporting and analytics
Partner cross-functionally with our Data Engineering, Product, Technology, and other teams to support business needs
Lead ongoing experimentation with modeling and data science methodologies
Produce insights, analyses, and recommendations to help employers understand drivers of spend and the impact of changes in student behavior over time, as well as these changes on revenue
You are a strong fit for this role if you have:
5-7+ years of total experience in an analytics, data science, financial planning & analysis
Experience leading technical and/or analytical teams in a fast paced environment
Exceptional problem solving, analytical, data visualization, and project management skills
Strong ability to identify the most significant metrics for a given business objective and translate analyses into tangible recommendations for sales and client services teams, working cross functionally to achieve shared objectives
Comfort presenting financial data to senior team members internally and / or at client organizations with an ability to influence perspectives via data-driven storytelling
Ability to execute quickly with high attention to detail in a fast-paced, dynamic environment
Expertise in model development, maintenance and tuning (including logistic regression, random forest, time-series forecasting), and at least one coding language (R, Python, etc.)
Fluency in SQL, Tableau (or other data visualization tool), and Excel
We feel passionately about equal pay for equal work, and transparency in compensation is one vehicle to achieve that. Total compensation for this role is market competitive, including a base salary range of $132,000 - $165,000, as well as company stock options.
#LI-JG1
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Senior Data Scientist Analytics | Discord |
What You'll Be Doing
Partner with teams through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports
Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You Will Thrive In This Role If
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
3+ years experience writing excellent SQL
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Passion for Discord or online communities
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc
Experience writing performant code in BigQuery SQL
New York City residents only: Minimum salary of $175,000 year + equity and benefits*Note: Disclosure as required by NYC Pay Transparency LawColorado residents only: Minimum salary of $140,000 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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Data Scientist | Focuskpi |
FocusKPI is seeking a Data Scientist to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S..
Work Location: Remote in the U.S. Duration: 6 months contract with potential for extension/conversion
Responsibilities:
Perform hands-on coding to retrieve and analyze large datasets using Python and SQLIntegrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholdersManage and streamline data extraction process with great attention to detailsAssess the potential usefulness, validity, and rigor of new data sourcesWork with cross-functional team to ensure that the quality of the data are of the highest standardHelp with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Qualifications:
Master’s degree in statistics/mathematics, engineering, computer science, economics, or related field3+ years of industry experience in data, analytics, data science roleProficient coding skills (SQL/Python/R)Deep knowledge on relational database capabilities and experience with big data technologies (Hive/Hadoop)Proficient BI/BA data visualization tools (Tableau, PowerBI, ThoughtSpot, Looker, etc)Experience with cloud technologies such as GCP, AWS, AzureExperience in integrating, structuring, and analyzing large amounts of data from diverse sourcesStrong project management skills and attend-to-detail documentation skills.Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story’ that provides insight into the businessPassion for working in a fast-paced agile environment.A collaborative mindset and sense of curiosity
Preferred Qualifications:
PhD degree in statistics/mathematics, engineering, computer science, economics, or related fieldExperience with predictive modeling algorithms and optimization techniquesExperience applying statistics to business problemsExperience with advertising, measurement, and/or digital marketing analyticsExperience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.
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Data Scientist Experimentation | Focuskpi |
FocusKPI, Inc. is looking for a Data Scientist (Experimentation) to work for our client. Work Location: RemoteDuration: 6 months, with potential for extension and conversion.Requirements:
Engage with stakeholders to understand strategic challenges, understand their needs, cross-question them to avoid assumptions, and proactively recommend intelligent insights to solve the unanswered questions throughout the engagementDevelop, Design, and support interactive Tableau Dashboard reportsWork with Data Visualization Support towards better storytellingDeliver reports in an agile environment and timely mannerIdentify ways to enable analysts and data scientists to experiment faster and more rigorously than today.Put in place tables and dashboards to speed up the experimentation process.Measure the impact of our experimentation center of excellence strategy, designing and analyzing the launch of experimentation tools and frameworks.Assess the current state of experimentation through analyses and needs assessments.Foster a world-class analytics culture through education and the creation of self-service tools to make a lasting change in how your analysts use experiments to make decisions
Qualifications:
Collaboration with other team members and stakeholders is a key strengthStrong proficiency with SQLSome Databricks (creating notebooks and pipelines) or different tool experienceAbility to Prepare documentation and specifications, as and when necessaryExperience with A/B testing is required3+ years of experience with TableauExperience with statistical programming languages (R or Python). Previously worked in global teams and high-growth companiesAn understanding of the SaaS development, business model, and metricsAre an active member of the broader analytics and data science communityStrong ability to communicate.Explaining complex concepts to diverse audiences and crafting compelling stories
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.
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Associate Data Scientist | Eab |
#LI-Remote
About EAB
At EAB, our mission is to make education smarter and our communities stronger. We work with more than 2,500 institutions to drive transformative change through data-driven insights and best-in-class capabilities. From kindergarten to college to career, EAB partners with leaders and practitioners to accelerate progress and drive results across five major areas: enrollment, student success, institutional strategy, data & analytics, and diversity, equity, and inclusion (DE&I). We work with each partner differently, tailoring our portfolio of research, technology, and marketing and enrollment solutions to meet the unique needs of every leadership team, as well as the students and employees they serve.
At EAB, we serve not only our partner institutions but each other—that's why we are always working to make sure our employees love their jobs and are invested in their communities. See how we've been recognized for this dedication to our employees by checking out our recent awards.
For more information, visit our Careers page.
The Role in Brief:
Associate Data Scientist
This position is based in Richmond, VA or Washington, D.C., Open to remote within the continental United States.
Job Description:
EAB is seeking aspiring data scientists of diverse talents and interests to help grow our industry-leading software platform's artificial intelligence and machine learning capabilities. Whether you are by nature a researcher with a quantitative bent interested in tackling some of the most impactful questions in the social sciences, or a software engineer who wants to build a world-class machine learning platform, you can carve out a place for yourself on our team. We are a medium sized team working to discover, build, and scale AI/ML solutions that help colleges and universities support their students from the application phase to graduation and beyond in a positive, inquisitive, and collaborative environment.
Primary Responsibilities:
Collaborate with data engineers and software engineers to integrate research-driven machine learning models into production software systems
Build internal tools for data science/analytics workflows
Manage data processing pipelines for analyzing terabyte-scale data from multiple sources
Write Python and R code using current best practices
Coordinate with product managers, software engineers, and customer-facing teams
Basic Qualifications:
Bachelor’s degree in a quantitative field, or equivalent experience
Programming skills in Python or R
Experience using SQL for data cleansing, transformation, summarization, or analysis
Ability to communicate and collaborate with both technical and non-technical team members
Conscientious, curious, dedicated, and quality-focused
Ideal Qualifications:
Experience with machine learning, statistics, and the scientific method
Professional experience with software engineering, data warehousing, Linux systems
Experience with AWS or other cloud-based server management and machine learning services
Commitment to valuing diversity, practicing inclusive behaviors, and contributing to an equitable working and continual learning environment in support of EAB’s DE&I Promise
If you’ve reached this section of the job description and are unsure of whether to apply, please do! At EAB, we welcome diversity of background and experience. We would encourage you to submit an application if this is a role you would be passionate about doing every day.
Benefits:
Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package.
Medical, dental, and vision insurance; dependents and domestic partners eligible
401(k) retirement plan with company match
20+ days of PTO annually, in addition to paid firm holidays
Daytime leave policy for community service or fitness activities (up to 10 hours a month each)
Paid parental leave for birthing or non-birthing parents
Phase Back to Work program for employees returning from parental leave
Infertility treatment coverage and adoption or surrogacy assistance
Wellness programs including gym discounts and incentives to promote healthy living
Dynamic growth opportunities with merit-based promotion philosophy
Benefits kick in day one, see the full details here.
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At EAB, we believe that to fulfill our mission to “make education smarter and our communities stronger” we need team members who bring a diversity of perspectives to the table and are committed to fostering a workplace where each team member is valued, respected and heard.
To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don’t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.
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Lead Data Scientist | Mntn |
At MNTN, we’ve built a culture based on quality, trust, ambition, and accountability – but most importantly, we really enjoy working here. We pride ourselves on our self-service platform, originally coded by our President and CEO, and are constantly seeking to improve the user experience for our customers and scale for efficiency. Our startup spirit powers our growth mindset and supports our teammates as they build the future of ConnectedTV. We’re looking for people who naturally want to do more, own more, and make an impact in their careers – and we’re seeking someone to be part of our next stage of growth.
As a Lead Data Scientist on our Attribution team, you will guide the analysis, methodologies, prototypes and evolution of our attribution capabilities. You will lead other data scientists, data engineers, and machine learning experts as well as collaborate with Product Owners, Data Analysts, Software Engineers and other stakeholders to create and iterate on various data intensive products.
What You’ll Do:
Become the end to end expert on attributing impact of advertisements in an ambiguous and privacy-focused ecosphere.
Identify business opportunities and gaps in data insights for both internal and external stakeholders.
Lead discussions with other technical and non-technical functions.
Propose, implement, and evaluate mechanisms to connect event data across a variety of platforms.
Utilize a variety of mathematical techniques and communicate them to others.
Investigate critical incidents and provide insights to data ambiguity.
Communicate findings and knowledge to others including vice president and c-suite stakeholders.
What You’ll Bring:
6+ years of experience related to experimentation, A/B testing, causal analysis, machine learning, look-alike modeling, ranking or equivalent. Advanced degrees in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or similar may be substituted for some years of experience.
Experience in SQL, Python, Jupyter Notebooks, R, or similar languages and a history of technical mentoring.
Hands-on experience working with NoSQL, Spark, Hive, BigQuery, Databricks, Snowflake, or similar technologies.
Written and verbal communication skills to convey complex technical topics to a variety of audiences.
MNTN Perks
100% remote
Open-ended vacation policy with an annual vacation allowance
Three-day weekend every month of the year
Competitive compensation
100% healthcare coverage
401k plan
Flexible Spending Account (FSA) for dependent, medical, and dental care
Access to coaching, therapy, and professional development
About MNTN:
MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.
Our solutions give advertisers total transparency and complete control over their campaigns – all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including, Petsmart, Build with Ferguson Master, Simplisafe, Yieldstreet and National University.
#Li-Remote
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Data Scientist | Vmware |
The Security Analytics Engineering group is looking to hire a Data Scientist to help lead the development of cutting-edge machine learning models to better protect our users from malicious actors and improve our customer product experience. We are looking for a hands-on engineering leader with deep data science and software engineering expertise who can help architect and own the platform for deploying and tuning the machine learning models used to protect user authentication and security.
The teams focuses on using analytics, machine learning, and threat research on petabyte-scale data to deliver security value to millions of business users across thousands of businesses. The product portfolio is a part of the rapidly growing Carbon Black Cloud platform that delivers next-generation endpoint protection capabilities from the cloud. Now with the full resources of VMware, you have the opportunity to make an impact and build upon Carbon Black’s success.
Responsibilities include:
Lead the efforts to define the vision of how Data Science and Machine Learning will be used at Carbon black threat analytics and Alerts management .Use analytical and statistical methods, programming, data modeling, simulation, and advanced mathematics to analyze large amounts of data, recognizing patterns, identifying opportunities, posing security questions, and making valuable discoveriesDevelop algorithms to detect anomalies, assess risks/threat, classify and prioritize alerts, and group related entities for investigation enhancementsDocument projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metricsWork with Data Engineers to design and maintain data processing pipelines to support new decision and scoring models.
What you bring:
Degree MS/PhD in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math, or other quantitative fields3-5 plus years experience developing data models as a Data Scientist and experience building products backed up ML /AI.Working experience in analytics, data mining, and/or predictive modeling, and data interpretation.Proven track record in modifying and applying advanced algorithms to address security problems in core engineering work.Experience implementing machine learning models, data pipelines and testing frameworks for production useHands on skills on industry-standard machine-learning stack (Jupyter, pandas, numpy, sklearn, Keras, Spark).Working knowledge of AWS Sagemaker, Lambda, and API Gateway including production deployment
Bonus:
Experience in big data technologies. (Spark, Flink, MapReduce, HDFS, Hive, Presto, Avro, Parquet, Airflow, etc)Experience in the Security domain is a plus
This job may require the candidate to travel and/or work from a facility that requires full vaccination prior to entry.
Category : Engineering and TechnologySubcategory: Software EngineeringExperience: Manager and ProfessionalFull Time/ Part Time: Full TimePosted Date: 2022-12-08
VMware Company Overview: At VMware, we believe that software has the power to unlock new opportunities for people and our planet. We look beyond the barriers of compromise to engineer new ways to make technologies work together seamlessly. Our cloud, mobility, and security software form a flexible, consistent digital foundation for securely delivering the apps, services and experiences that are transforming business innovation around the globe. At the core of what we do are our people who deeply value execution, passion, integrity, customers, and community. Shape what’s possible today at http://careers.vmware.com.
Equal Employment Opportunity Statement: VMware is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: VMware is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at VMware are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. VMware will not tolerate discrimination or harassment based on any of these characteristics. VMware encourages applicants of all ages. Vmware will provide reasonable accommodation to employees who have protected disabilities consistent with local law.
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Data Scientist | U Haul |
Data Scientist (Remote)
The Senior Data Scientist oversees the conceptual vision of data science initiatives, covering the range of data science applications at U-Haul, and guides the team in the execution of that vision.
Responsibilities
Manage interactions, expectations, and connections with existing business units Translates importance and outcomes of data science initiatives to higher levels Establish realistic team objectives, KPIs, and timelines for data science projectsPrioritize work based on expected value to make continued progress on initiatives Collaborate with and provide mentorship to other data scientists and data science analysts Design and implement data products (pipelines, visualizations, AI/ML models) that add value to U-Haul's business Interact with developers, business teams, and other stakeholders to determine requirements Conduct effective exploratory analysis (EDA)Identify the best model for a given problem Work alongside data engineering to source and transform data Build ETL pipelines independently Build, tune, and deploy machine learning/AI models Communicate results to business leaders and technical audiences Maintain team documentation, organization, and resources to ensure stability and scalability of the team
U-Haul Offers:
Full Medical coverage Prescription plans Dental & Vision Plans Registered Dietitian Program?
Weight Watchers? Onsite medical clinic for you and your family Career stability Opportunities for advancement Valuable on-the-job training
Tuition reimbursement program Free online courses for personal and professional development at U-Haul University® Business and travel insurance You Matter Employee Assistance Program Paid holidays, vacation, and sick days?
Employee Stock Ownership Plan (ESOP) 401(k) Savings Plan Life insurance Critical Illness/Group Accident 24-hour physician available for kids
Subsidized gym/ membership MetLaw Legal program MetLife auto and home insurance Mindset App Program Discounts on cell phone plans, hotels, and more
LifeLock identity Theft Savvy consumer wellness programs- from health care tips to financial wellness Dave Ramsey’s SmartDollar Program U-Haul federal credit union Wellness Programs
Requirements
Master’s degree or Ph.D. from an accredited college/university in an applicable field, with a minimum of 3 years of relevant experience History of increasing responsibility and/or a leadership role in data science Exposure to and familiarity with a variety of statistical and machine learning techniques including but not limited to Regression and Classification, Graph Data Science/Network Analysis, Computer Vision, Time Series Analysis and Forecasting, Geospatial Data/GIS, Recommender Engines Proven track record (academic or business) in one or more data science fields above preferred Demonstrated experience processing and analyzing structured and unstructured data Strong coding skills in SQL and Python Experience with graph databases (Neo4j) is highly desired Experience with model deployment/MLOps is helpful Experience in Databricks, AzureML, Kubernetes are pluses
Skills
Good communicator, both written and oralComfortable with full stack data science: taking a project from idea to execution Deep understanding of statistics and experimental design Must be effective at coding in SQL and Python Effective communication and presentation skills, written and oral Familiarity with DevOps/Agile Scrum a plus
U-Haul is an equal opportunity employer. All applications for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state, or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.
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Senior Data Scientist | Dotdash Meredith |
Job TitleSenior Data ScientistJob DescriptionII. Essential Job FunctionsAccountabilities, Actions and Expected Measurable ResultsLeverage your technical expertise to constantly raise the bar and ensure the team delivers extraordinary results – focusing on creating value, continuous improvement, and collaboration. Strive to thoroughly understand customer, business and stakeholder needs, and provide effective data driven solutions to meet those needs. Develop, communicate, and maintain architectural, design, and lineage documentation.Enhancing, upgrading and maintaining previously developed Data Science products.Brainstorming and developing new data driven solutions to evaluate, consult and optimize various business proposals. -Participating in Retros, demos, planning, daily stand up.Learning and continuous improvement (keep up with state-of-the-art technology, conferences.III. Minimum Qualifications and Job Requirements | All must be met to be considered.Education: B.S. or Masters (Preferred) in Engineering, Computer Science, Statistics or Mathematics or other quantitative fieldsExperience:4+ Years of Data Science experience and data scripting languages (e.g. Python, SQL, R etc), deep understanding of all practical details of the entire pipeline of Data Science: data query from data warehouse and datalakes, dataset creation, exploration of data, data cleansing, statistical analysis, feature engineering, model training and evaluation, model deployment and monitoring.Specific Knowledge, Skills and Abilities:
Solid understanding of popular machine learning algorithms including supervised, un-supervised, and semi-supervised ones. What is the difference between algorithms? What algorithm would you choose for a given problem and why? What are the pros and cons of these algorithms? What is cross validation, hold-out sample, RMSE, overfitting, bias, …?
Proficient in one or more core data science programming languages (Python) and the ability to become functional in emergent languages and APIs as needed (Java, Scala, …).
Practical experience of building a full cycle machine learning engine from cleansing data to training and hyper parameter optimization to methods for evaluating the accuracy to identifying the ways to improve the accuracy of the model.
Experience in data applications working with large scale distributed systems (e.g. EMR, Spark, Hadoop)
Exposed to and experienced with state-of-the-art machine learning toolkits such as Spark ML, TensorFlow, Scikit-learn, XGBoost, NLP … preferably in Big Data frameworks (e.g. Apache Spark).
Familiarity with AWS ecosystem, Sagemaker, Athena, EMR, QuickSight, etc
A self-learner with capability to switch from the independent contributor and leader of the project to a collaborative contributor on the team (and vice versa) depending on the demand of the project and availability of the resources.
Collaborate with stakeholders, partners and clients to ensure that all parties are aligned and supportive of the project's priorities, requirements, timeline and objectives.
Familiarity with the MapReduce paradigm and Apache Spark project.
Proficient with SQL as a means of gathering data from relational databases.
Practiced data manipulation and mining of structured and unstructured data.
Experience in visualizations for business stakeholders using a variety of visualization tools from libraries in Python and MS Excel,
Familiarity with Data Engineering tools such as ETL, AWS Glue, Datalake, Airflow
Superior written and verbal communication with both technical and non-technical audiences
Strong analytical skills and a results-driven mindset
It is the policy of Meredith Operations Corporation ("Dotdash Meredith", "the Company") to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, 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, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing [email protected] Company requires employees entering its workplaces, performing work offsite, or attending a company sponsored event to verify and provide proof of full COVID-19 vaccination. The Company will consider requests for reasonable accommodations as required by applicable law.The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: https://www.e-verify.gov/employeesPay RangeSalary: $79,500 - $135,900The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of Dotdash Meredith’s total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives. In addition, Dotdash Meredith provides to employees (and their eligible family members) a variety of benefits, including medical, dental, vision, prescription drug coverage, unlimited paid time off (PTO), adoption or surrogate assistance, donation matching, tuition reimbursement, basic life insurance, basic accidental death & dismemberment, supplemental life insurance, supplemental accident insurance, commuter benefits, short term and long term disability, health savings and flexible spending accounts, family care benefits, a generous 401K savings plan with a company match program, 10-12 paid holidays annually, and generous paid parental leave (birthing and non-birthing parents), all of which may vary depending on the specific nature of your employment with Dotdash Meredith and your work location. We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance.#NMG#
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Manager Senior Manager Data Science | Forward Financing |
As Manager/Senior Manager, Data Science, you will lead the execution of building and deploying our predictive models. This is an exciting opportunity to get on the ground floor of a team at a growing company, and to guide the direction of how we build our data science capabilities. The ideal candidate has past technical experience building, deploying and monitoring credit risk predictive models, and can provide a vision of the tools and processes we should use in every stage of the modeling process. You will be joining our Analytics department, and report to the Director of Analytics and Data Science.
We have a modern analytics stack (Snowflake+Fivetran+DBT) that our Analytics Engineering and Business Intelligence teams use to centralize, clean, transform and model all of our data. We have access to many third-party datasets, in addition to our internal proprietary data. You will collaborate closely with the Analytics team to build datasets that will be used by data scientists to build models. You will also collaborate closely with our Technology team to deploy models into our applications. Our company is putting a lot of resources into automating our business, and you will play a key role in helping drive this initiative forward.
In this role you will:
Identify, evaluate, and implement data science tools and processes
Hire and manage data scientists
Collaborate with data scientists, analytics engineering and technology to build and deploy predictive models
Monitor and tune existing models
Collaborate with leadership to identify predictive model use cases
Requirements:
(Even if you don’t check every box, but see yourself contributing, please apply.)
7+ years of technical data science experience
Experience creating credit risk predictive models
Experience working with lending related datasets including: credit bureau, public records and transaction level bank statement data
Proficient in SQL
Proficient in a scripting language, such as Python or R
Strong project management and communication skills
Preferred:
Experience as a people manager
Experience with Snowflake, Databricks, Tableau and DataRobot
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Data Scientist Lead Trust And Safety | Opensea |
OpenSea is the first and largest marketplace for non-fungible tokens, or NFTs. Applications for NFTs include collectibles, gaming items, domain names, digital art, and many other items backed by a blockchain. OpenSea is an open, inclusive web3 platform, where individuals can come to explore NFTs and connect with each other to purchase and sell NFTs. At OpenSea, we're excited about building a platform that supports a brand new economy based on true digital ownership and are proud to be recognized as Y Combinator's #4 ranked top private company.
When hiring candidates, we look for signals that a candidate will thrive in our culture, where we default to trust, embrace feedback, grow rapidly, and love our work. We also know how critical it is to celebrate and support our differences. Employing a team rich in diverse thoughts, experiences and opinions enables our employees, our product and our community to flourish. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. To help facilitate this, we support remote, hybrid or onsite work at either New York City, San Francisco or the Silicon Valley for the majority of our opportunities.
We are looking for an experienced data expert - Data Scientist, Data Analyst - to join our Trust and Safety engineering organization. If you are enthusiastic about earning users’ trust, and have experience in the adversarial data analysis domain, we want to hear from you!
In this role, you will build the foundational data solutions for OpenSea’s Trust and Safety challenges. You will apply your data skills to protect the NFT ecosystem. You will collaborate closely with our Engineering, Product, Policy, Operations.
Responsibilities
Conduct thorough data insights for the company's Trust and Safety investment.
Create, standardize, and improve metrics reporting, and launch experimentation
Evaluate and improve detection models, optimize human review process, track end-to-end T&S system data quality
Intake abuse intelligence, identify new abuse patterns, prototype new methodologies.
Collaborate with XFN stakeholders
Desired Experience
Bachelor's degree in Computer Science or related technical field.
4+ years of experience in Data Scientist, Analyst, Machine Learning or equivalent roles.
Experience in adversarial domains like abuse/fraud/spam prevention, anomaly detection, finance risk management, trust and safety.
Proven record of generating insight from in-depth data analysis
Exposure to ML model development and data pipeline framework
Growth-minded, data and impact driven.
Thrive in a collaborative XFN environment.
If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
Nice-to-Have Skills
Team leadership experience(Big plus)
Web3 ecosystem experience
The base salary for this full-time position, which spans across multiple internal levels depending on qualifications, ranges between 145,000 - $255,000 plus benefits & equity.
#LI-Remote
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Director Data Science Operations | Tempus |
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Our team partners with scientists at biotechs and pharma companies who are using our real-world clinical data to understand treatment patterns and study outcomes.
We are seeking a Director, Data Science Operations to join our AI and Data Science (AI/DS) team. As the Director of Data Science Operations, you will lead data initiatives for internal stakeholders in AI/DS. This expert will set up processes and infrastructure including using machine learning to monitor the quality of EMR and integrated third-party data such as claims data which are utilized by AI/DS. This individual will serve as the voice of AI/DS on cross-functional teams serving to improve data quality. In addition, this role will have oversight of a team responsible for provisioning patient cohorts of interest for retrospective studies. Strong candidates will have prior experience working in the healthcare industry, or in a similar capacity as a consultant or domain expert.
Responsibilities:
Lead initiatives around benchmarking and improving data quality that impact AI/DS
Serve as VOC on cross-functional teams and develop strong relationships with Alliance Management, RWD Engineering and peers in AI/DS
Lead standardization of cohort provisioning (i.e., patient selection) for retrospective studies using Tempus database
Develop and mentor a team of direct reports
Suggested Qualifications:
MS/PhD degree in a quantitative discipline (e.g. statistical genetics, cancer genetics, machine learning, bioinformatics, statistics, computational biology, biomedical informatics, or similar)
5+ years of supervisory experience
5+ years of related experience. Experience with genomic (e.g., DNA-seq, RNA-seq) or clinical (survival data, trials, real world evidence, claims) data, and familiarity with methods for time to event analysis (Kaplan-Meier, Cox regression) desirable
Strong programming skills and experience with the python clinical+molecular data science stack: Pandas, NumPy, SciPy, Scikit-learn, lifelines, and Jupyter. Experience with R is desirable.
Strong database and SQL skills (BigQuery, dbt)
Experience with engineering best practices for research computing (docker, git, code review, workflow managers, linux, cloud computing)
Demonstrated experience in building pragmatic solutions and long-term scalable designs
Thrive in a fast-paced environment and able to shift priorities seamlessly
Strong attention to detail, specifically in the realm of clinical data models, data quality, consistency, etc.
Excellent communication skills with demonstrated ability to influence stakeholders and collaborators from a broad range of backgrounds (medical/scientific/engineering, etc.)
Demonstrated ability to successfully navigate ambiguity and complexity
Team player mindset and ability to work in an interdisciplinary team
Goal orientation, self motivation, and drive to make a positive impact in healthcare
#LI-GL1
#LI-Hybrid
#LI-Remote
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Real World Data Rwd Scientist | Tempus |
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
With the advent of genomic sequencing, digital imaging, and techniques for large-scale clinical data processing, we have powerful new weapons in the data-driven fight against cancer. We’re on a mission to connect an entire ecosystem to redefine how genomic and clinical data is used for evidence-based medicine.
On the Real World Data Analytics (RWDA) team at Tempus, we are data-savvy scientists helping Key Opinion Leaders in academia and the research community interrogate the real-world dataset for novel insights. We work directly with the Tempus Medical Sciences Team and oncology research leaders to understand their goals and analyze Tempus data to answer their scientific questions.
We are seeking a highly motivated and capable Data Scientist with extensive experience working with clinical research pipelines applying biostatistics and epidemiology knowledge to observational health data. Top candidates will have knowledge of clinical and molecular oncology and a demonstrated history of consulting in clinical research.
What you’ll do
As part of the external data science team at Tempus, you’ll be on the front lines of our collaborations with external partners, helping them apply cutting-edge data science techniques to unique cancer datasets. Your work will be part of the foundation of the next layer of research questions: you will be responsible for performing rigorous, creative analytical studies on real-world clinical and molecular data, and for communicating results and scientific findings on a regular basis, using appropriate communication and visualization tools commonly used in clinical research.
Requirements:
Advanced degree (Masters or PhD) in biostatistics, epidemiology, or a related field or 3+ years experience working with genomic and clinical data in cancer
Experience working with statistical modeling methods
Proficiency in R programming
Experience working with observational clinical data
Strong project management skills
Demonstrated ability to communicate technical concepts to non-technical stakeholders
Collaborative mindset, an eagerness to learn and a high integrity work ethic
Nice-to-have:
SQL
Computational biology techniques and tooling (i.e. Bioconductor)
Knowledge of next-generation sequencing technologies
#LI-GL1
#LI-Hybrid
#LI-Remote
#LI-Onsite
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Staff Machine Learning Scientist Cardio | Tempus |
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
What You Will Do:
Analyze and integrate large diverse clinical, molecular and imaging datasets to extract insights, and drive research opportunities.
Design and prototype novel analysis tools and algorithms for predicting patient outcome and treatment response.
Collaborate with product, science, engineering, and business development teams to build the most advanced data platform in precision medicine.
Interrogate analytical results for robustness, validity, and out of sample stability.
Document, summarize, and present your findings to a group of peers and stakeholders.
Provide technical leadership & expertise across multiple modeling projects.
Required Qualifications:
PhD degree in a quantitative discipline (e.g. computer science, biomedical informatics, machine learning, statistics, computational biology, applied mathematics, physics, or similar).
3+ years of relevant industry or postdoctoral experience.
Outstanding analytical and problem solving skills, with a particular focus on understanding the intricacies of multi-modal medical data sets.
Experience working with clinical, electrocardiography, genomic, or imaging data.
Expert-level experience with supervised, self-supervised and unsupervised machine learning algorithms, such as: regression, generative modeling, deep neural networks, gradient boosting, non-linear low dimensional embeddings and clustering.
Proficient in Python and SQL.
Experience with machine learning frameworks such as TensorFlow or PyTorch.
Strong programming skills.
Thrive in a fast-paced environment and willing to shift priorities seamlessly.
Experience with communicating insights and presenting concepts to diverse audiences.
Team player mindset and ability to work in an interdisciplinary team.
Goal orientation, self motivation, and drive to make a positive impact in healthcare.
Preferred Qualifications:
Strong peer-reviewed publication record
Familiarity with cloud computing services
Experience building machine learning based models towards cardiovascular outcomes
Experience working with structured and unstructured Electronic Health Records
Experience with signal processing and modeling ECGs
Familiarity with natural language processing
Experience in agile environments and comfort with quick iterations.
#LI-SH1
#LI-Hybrid
#LI-Remote
#LI-Onsite
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Data Scientist | Inmarket |
Job Title: Data Scientist
Location: Remote - US Only
About InMarket
Since 2010 InMarket has been a leader in 360-degree consumer intelligence and real-time marketing for thousands of major brands. Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate real-time, and measure success in driving sales.
InMarket, which raised no venture capital funding to date, holds more than 25 patents across location, attribution and digital marketing, and its GeoLink self-service marketing platform was awarded Best Location Marketing Platform at the 2021 MarTech Breakthrough Awards and best Location Platform at the 2020 Digiday Technology Awards. InMarket ranked 280 on the 2021 Deloitte Technology Fast 500 list and its nationwide team is united across more than 30 states.
About the Role
Data science is a core driver of InMarket’s product design and innovation. As a data science team member, you will have the opportunity to leverage cutting-edge machine learning on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack.
Your role is to conceptualize, develop and deploy the core machine learning solutions that power our industry-leading digital advertising and measurement products. These solutions will be intelligent, adaptive, operate at scale and make decisions on how to act within milliseconds. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI.
Your daily Impact as Data Scientist
Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production
Take ownership of core machine learning products to expand our capabilities and push our performance boundaries
Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements
Collaborate closely with our engineering and product teams to expand our machine learning platform
Your Experience & Expertise
Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
Solid understanding of modern data science and machine learning theory and methods
Professional or academic experience using statistical modeling and machine learning to solve complex, data-driven problems
Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code
Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds
Nice to Haves
Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus
Familiarity with the digital media / advertising industry is a big plus.
Compensation & Benefits Summary
Competitive salary, stock options, flexible vacation
Medical, dental and Flexible Spending Account (FSA)
Company Matched 401(k)
Unlimited PTO (Within reason)
Talented co-workers and management
Agile Development Program (For continued learning/professional development)
Paid Paternity & Maternity Leave
For candidates in California, Colorado, and New York City, the Targeted Base Salary Range for this role is $185,000 to $289,000.
Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits. Ask your recruiter for more information!
InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.
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Staff Data Scientist Marketing | Devoted Health |
A bit about us:
We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.
Why Devoted:
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.
A bit about this role:
The Staff Data Scientist, Marketing will serve as a crucial partner to our Marketing teams, using data to answer important questions about how to grow the business; building robust data pipelines that underpin our products and operations; and fostering a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. This individual will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.
In this role, you will power the insights that enable the marketing team to intelligently engage with our prospects, and to ensure we’re living up to our mission of caring for them like family. You will become an expert in all things related to Marketing, driving key initiatives such as how to optimize our multi-million dollar advertising budget. This is a high profile role that is critical to Devoted Health’s success and will involve exciting data initiatives such as predictive modeling and experimental design.
Healthcare experience or previous experience driving Data Science initiatives for a Marketing team is a PLUS.
Responsibilities will include:
Working closely with key business stakeholders to meet the analytical needs of the business, and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds
Required skills and experience:
Ability to work in a fast-paced startup environment
4+ years of individual technical contributor experience
2+ years of working on Data Science initiatives for a Marketing or Growth team
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis; such as predictive modeling and experimental design to influence the business
#LI-BC1
#LI-Remote
If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.
Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.
As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.
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Principal Data Scientist | Veeva Systems |
Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.
The Role
Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care." Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.
Your work will shape the product roadmap for the entire family of Link products, especially newer products such as Link for Trials. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.
We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1200 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.
We are hiring from both Germany and Netherlands. Alongside offices in Berlin and Frankfurt am Main, you can work remotely anywhere in those countries. However, you must live in those countries and be legally authorized to work there without requiring Veeva’s support for a visa or relocation. If you do not meet this condition but believe that you are an exceptional candidate, please clarify it in a separate document alongside your CV.
What You'll Do
Develop machine learning models at scale and in the AWS cloud to structure and analyze scientific data
Adopt the latest technologies and trends in AI
Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading
Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
Collaborate with data quality teams to define annotation tasks, metrics, and perform a qualitative and quantitative evaluation
Collaborate with engineering teams to implement models at a terminal scale
Requirements
8+ years of experience as a data scientist (or 6+ years with a relevant Ph.D. degree)
Fluent in Python/Java and bashing scripts
Excellent analytical skills and data curiosity
Superior communication and presentation skills
Mastery in at least one framework for BigData (e.g. Spark, DASK) and one framework for Deep Learning (e.g. Tensorflow, PyTorch)
Mastery of Machine Learning, including up-to-date knowledge of the latest ML innovations and frameworks
Used to start-up environments
Social competence and a team player
High energy and ambitious
Agile mindset
Nice to Have
Experience in life/health science industry, notably pharma
Background in clinical (trial) data
Having published in AI space in a peer-reviewed journal/conference
Production-grade development Skills
Cloud development, especially AWS
Experience in NLP, NER, deduplication, entity-linking, graph-processing, or reinforcement learning
Leadership skills and a solid network to help in hiring and growing the team
Experience in containerization, Kubernetes, or relevant distributed computing technologies
Experience with NoSQL databases, especially MongoDB
Familiarity with model registry solutions such as MLflow
Perks & Benefits
Work anywhere
Personal development budget
Veeva charitable giving program
Fitness reimbursement
Life insurance + pension fund
#RemoteGermany
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
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Data Science Lead | Kraken |
About Kraken
As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto. Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide - our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption. But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions. Now is not the time to sit on the sidelines. Join us to bring crypto to the world.
About the Role
We are looking for a Data Science Lead who is innovative, highly-motivated, and proactive.
For this role, you will have the opportunity to lead a team that builds cutting-edge trading products and guides sound data-driven decision making in the cryptocurrency industry. You will be responsible for overseeing the transformation of data and generation of actionable insights on customer behavior as well as measuring the performance of Kraken’s products. You also have a knack for understanding tech products and enhancing them through the power of ML.
In your day to day, you can easily go from coding, to coaching, to sharing the results of your team’s efforts with stakeholders at all company levels. You will collaborate and lead projects with product management, engineering, marketing, and growth teams.
Great benefits, amazing perks, remote work, stock incentives, and a flexible PTO policy make Kraken a great place to work. If you value having a seat at the table and want to make a big impact on guiding the direction of marketing and growth at one of the top crypto exchanges in the world, this role is for you.
Responsibilities
Develop, mentor and hire a world-class data science team that is a competitive advantage for our company
Partner with product, engineering, marketing, finance and other relevant stakeholders to identify, prioritize, and execute on opportunities
Lead the development of analytics, statistical and ML modeling with strong quantitative rigor to produce material impact for Kraken
Work with engineers to evangelize data best practices and implement data analytics solutions
Develop, train, and deploy ML models serving predictions and automating business processes
Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
Design experiments for product teams to test hypothesis and help with idea generation and refinement
Requirements
PhD or Masters degree in Statistics, Computer Science, Physical Sciences, Economics, Math or a related technical field
8+ years of experience in data science
A consistent track record of developing and deploying analytics and data science solutions using Python, R, SQL, distributed data warehouses and computing platforms
Experience using statistics and predictive analytics to solve complex business problems
The versatility and willingness to learn new technologies on the job
The ability to clearly communicate complex results to technical and non-technical audiences
Familiarity with other data tools such as Druid, Hadoop, Tableau, Superset is a plus
Location Tagging: #EU #US
We’re powered by people from around the world with their own unique and diverse experiences. We value all Krakenites and their talents, contributions, and perspectives, regardless of their background.
As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
Stay in the know
Follow us on Twitter
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Product Data Scientist Segment | Twilio |
See yourself at Twilio
Join the team as our next Product Data Scientist at Twilio Segment!
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
Twilio is growing rapidly and seeking a Product Data Scientist who is responsible for leveraging the 360° of information we collect using our own Segment platform, to understand what makes someone discover us and come to love our product. You’ll collaborate with teams on the front lines of our business, from engineers to UX designers and marketers. You’ll create models, design experiments, and develop perspectives that help us drive customer acquisition and activation. As a “data person at a data company”, you’ll be given a unique ability to define and share best practices in using hypothesis-driven reasoning to grow a company.
Responsibilities
In this role, you’ll:
BE AN OWNER: Work with marketing and growth teams to define how they measure and track towards their success. Use your knowledge and the power of data to inform day-to-day operations, as well as company-level strategic decisions
DRAW THE OWL: Design experiments and interpret results to draw informed and actionable conclusions. Implement predictive models; collaborate with data engineers and operations teams to productionize your work.
BE BOLD: Creatively leverage new and existing data to identify business opportunities others have missed.
EMPOWER OTHERS: Interact extensively across all functional teams within Twilio. Influence cross team initiatives and mentor junior engineers. Raise the bar on team performance.
NO SHENANIGANS: Ensure the consistent exercise of appropriate judgment and discretion in evaluating opportunities, conducting due diligence, and maintaining transparency.
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Twilio is looking for an data scientist who lives the Twilio Magic and has significant experience in data manipulation, modeling and storytelling. You are an ideal candidate if you:
Naturally frame your work within the scientific method: hypothesis generation, experimentation, and iteration
Can synthesize and communicate complex ideas to a variety of audiences
Have strong business acumen
Are enterprising and empathetic with your customers
Have at least a bachelor’s degree, preferably in a quantitative or technical field
Have 4+ years of work experience in either an analytical/scientific role, or in a growth-focused position at a startup
Location
This role can be remote in the US.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.
(Location dependent information)
Colorado applicants:
The estimated pay range for this role, based in Colorado, is $120,160.00 - $150,200.00
Non-Sales: Additionally, this role is eligible to participate in Twilio's equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
#LI-remote
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Data Scientist | Twilio |
Because you belong at Twilio.
The Who, What, Why and Where
Twilio is growing rapidly and seeking a Data Scientist to be an individual contributor to the analytics team for the NAMER (North America) finance team. The person in this role will be working with cross-functional partners in developing topline metrics ; performing exploratory analysis on customer LTV, sales productivity, quantifying impacts for any product improvement or launch; and build & own analytical frameworks that guide the financial roadmap.
Who?
More specifically, we are looking for candidates with the following skills and experience:
BS/MS/PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
Experience building data sets, pipelines, and models in Data warehouse
4+ years of experience working in product/finance analytics or data science
2+ years of experience with metrics, A/B testing and experimentation
Expert level SQL and Python skills and dashboarding skills in tools like Looker or Tableau
Familiarity with statistical modeling and statistical programing languages like Python or R
Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives
What?
As a Data Scientist, you will live the Twilio Magic values:
WRITE IT DOWN: Develop insights and recommendations through exploratory analysis, hypothesis testing, analyzing results from experimentation, and building models
DRAW THE OWL: Work with cross-functional partners in Product, Sales, Finance, Engineering, and Operations on defining metrics, forecasting their targets and building attribution framework for achieving them
BE AN OWNER: Creatively leverage new and existing data to increase the effectiveness and efficiency of our decision-making infrastructure
WEAR THE CUSTOMER’S SHOES: Define and monitor key metrics and market intelligence to derive insights and identify opportunities for existing and evolving products.
Why?
Finance Analytics plays a key part in building an increased understanding of our products, our customers, and our business so that we can help our teammates make better data-driven decisions. As part of the Finance Analytics team you will be working with product managers, sales analytics, design, engineering, operations, sales and other cross-functional partners in developing metrics and KPIs, forecasting quarterly targets, conducting deep analyses, designing and monitoring experiments, and developing models to help make data-driven decisions. You will play an influential role in helping drive critical financial decisions. You’ll have an opportunity to work with high-caliber individuals to drive strategic and operational improvements at our company.
Twilio is a company that is empowering the world’s developers with modern communication in order to build better applications. Twilio is truly unique; we are a company committed to your growth, your learning, your development, and your entire employee experience. We only win when our employees succeed and we're dedicated to helping you develop your strengths. We have a cultural foundation built on diversity, inclusion, and innovation and we want you and your ideas to thrive at Twilio.
Where?
We employ diverse talent from all over the world and we believe great work can be done anywhere. Around the world, Twilio offers benefits and perks to support the physical, financial, and emotional well being of you and your loved ones. No matter where you are based, you will experience a company that believes in small teams for maximum impact; seeks well-rounded talent to ensure a full perspective on our customers’ experience, understands that this is a marathon, not a sprint; that continuously and purposefully builds an inclusive culture that empowers everyone to do their best work and be the best version of themselves.
About Us
Millions of developers around the world have used Twilio to unlock the magic of communications to improve any human experience. Twilio has democratized communications channels like voice, text, chat, video and email by virtualizing the world’s communications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications. By making communications a part of every software developer’s toolkit, Twilio is enabling innovators across every industry — from emerging leaders to the world’s largest organizations — to reinvent how companies engage with their customers.
Colorado applicants:
The estimated pay range for this role, based in Colorado, is $99,360 - $136,620
Non-Sales: Additionally, this role is eligible to participate in Twilio's equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
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Head Of Data Science | Datakind |
DataKind is looking for a Head of Data Science!
DataKind is looking for an innovative individual who is ready to make a major impact on our data science strategy and help us deliver on our next decade of data science solutions for positive social impact. If you’re a self-starter eager to turn vision into action, you’re a strong communicator who delights in teaching and sharing knowledge, and you aren’t afraid to dive into messy, small, and/or complex datasets, we want to bring you on board! This is a new role at DataKind, and you’ll be a key cross-functional collaborator with significant autonomy to design, propose, and implement processes that will ensure DataKind delivers best-in-class data products for the social sector.
Location
This is a remote position that can be based anywhere in the U.S. and requires the majority of working hours each day to fall between 8am and 6pm Eastern Standard Time.
Salary RangeMid-career level, $130,000 - $160,000 / Senior-career level, $160,000 - $190,000.
This position could be hired at one of two levels - either a mid-career level or a senior-career level. At a mid-career level, the annual salary range is between $130,000 and $160,000, and at a senior/director level, the salary range is between $160,000 and $190,000.
Actual salary from the ranges above will be based on the candidate’s experience and internal salary equity scan of active employee(s) with similar role and experience.
About DataKind
DataKind is a global nonprofit dedicated to harnessing the power of data science and artificial intelligence (AI) in the service of humanity. DataKind teams talented pro bono experts from academia and industry with visionary changemakers to collaboratively design innovative solutions to tough social challenges. We help social organizations apply their data to predictive analytics, machine learning algorithms, and AI needs in a way that both increases impact and prioritizes ethics.
We’re 20,000 strong: DataKind volunteers hail from almost every country across the world, representing a community of technologists and social changemakers who believe in using data science and AI for a stronger planet and a more just and prosperous world.
We have completed 350+ projects around the world: From using satellite imagery to measure crop yields to automating the fight against hate speech online, our volunteer community has shown up to help solve some of the most pressing social, economic and environmental challenges around the world. Through this approach, illustrating what we call “the art of the possible,” these projects have resulted in more effective NGOs, more funding for social change organizations, and more awareness of the power (and pitfalls) of data science and AI in the social sector.
People are at the center of our process: DataKind celebrates human-centered design principles that focus on the “why,” the “for whom,” and the “should we” long before we ever get going on the “what.”
“AI for Good” will only succeed if it’s “AI for All”: We’ll continue our work until all people and all communities can use digital technology for the outcomes they want to see. We support not just the tech communities of today, but anyone in any community who wants to lead in how data technologies serve their needs fairly, with an emphasis on including individuals from groups that are historically underrepresented in technology or will be impacted by the intervention.
DataKind has always known that we’ll not be able to combat all of the world’s looming challenges through individual, short-term projects alone. We’re now focusing the DataKind network on issue areas, including improving health outcomes and increasing economic resilience for all. You can read more about our strategy here.
About the Opportunity & What You’ll Do
Our growing organization is looking for experienced candidates for the position of Head of Data Science. As a new position within DataKind, the Head of Data Science will be a key member of our senior thought leaders in the organization.
Reporting to the Senior Director of Product and working closely with the Director of Technology, the Head of Data Science will lead data product development, data science team development and support, and data science strategy. In addition to technical skills, we’re looking for someone who’s excited about external thought leadership and internal cross functional collaboration.
Data Product Development (50% of time)
Providing technical and strategic leadership to manage DataKind’s core service delivery activities. Example activities include:
For a portfolio of DataCorps and DataDive event projects, lead on each step of the DataKind project process as outlined in the DataKind Project Playbook.
Direct/Lead project sustainability activities
Audit data science solutions that have been proposed and created by volunteer-led data science teams at several phases of the project process to ensure high quality technical output that meets the needs of the partner client
Implement maintenance plans for projects once core teams have completed their commitments with DataKind
Revise DataKind’s playbook and other knowledge management and best practices documents to be aligned to current best practices in the sector
Lead the technical strategy and roadmap development to open source specific products within DataKind’s grant funded portfolios
Data Science Strategy and Thought Leadership (25% of time)
Leading strategy development and training across internal and external stakeholders to establish DataKind’s long term data science strategy. Example activities include:
Propose, collaboratively develop, and drive implementation of the data science solution strategy at DataKind inclusive of problem types, solution types, techniques, languages, and more
Pursue thought leadership in the data science sector through the lead authorship of quarterly blogs or other publications
Represent DataKind externally at conferences and public speaking opportunities
Ensure staff are aware of the data science strategy, advances in the data science field, and applications of data science
Data Science Team Development and Support (15% of time)
Engage with DataKind volunteers and staff to elevate DataKind’s overall technical practice through training, conversation, and partnership. Example activities include:
Recruit, hire, and manage staff and/or consultant data scientists as required to meet target deliverables
Recruit and select DataKind volunteers to meet project deliverables
Provide technical review, thought partnership and advice for volunteer-led projects
Cross-Team Collaboration (10% of time)
Work with DataKind staff teams to ensure that our systems and processes are continuously improved and meeting established standards. Example activities include:
Contribute to internal best practices in partnership with the Global Volunteers team, including both the network and the Center of Excellence
Provide technological support to the DataKind HQ staff and chapter network on such tools as AWS, Salesforce, and other tech stack services essential for the day-to-day operations of the DataKind team
Work alongside grants managers to manage budgets for technical services within each deliverable
Work alongside the Technology Team to establish and ensure strong data use for DataKind’s internal practices
How You’ll be Measured
At the end of Year One, the Head of Data Science will have accomplished the following:
Successful data science deliverables met for all committed work
Creation and presentation of a data science strategy roadmap for DataKind
Proposal and management of a data science budget to manage the strategy roadmap
Engagement through timely and proactive communication regarding volunteers, projects, and opportunities such that the DataKind team is able to react and contribute to solutions
Contribution to at least two thematic area landscapes for data science possibilities within particular sectors
Publication of two written thought leadership publications
Presentation within two webinars or conferences
Qualifications
Required:
Alignment with DataKind mission and values, including our commitment to anti-racism
Documented expertise in data science models, tools and languages (Python, R etc.) through portfolio materials (e.g. GitHub) and participation in interview thought exercises
Demonstrated expertise in stakeholder engagement to define problem statements,
Demonstrated experience in technical team leadership
Previous people-management experience
Strong written and oral English-language communication skills
Ability to compile and deliver written reports, budget plans and strategy presentations for external audiences
Ability to work occasional nights and weekends eastern time for meetings or events with our global community of partners and volunteers. (e.g. up to four nights or one weekend per month)
Preferred:
Experience with open source software development and maintainer communities
External publications or presentations demonstrating thought leadership in the data science field
Previous experience in skilled volunteerism either as a volunteer or staff supporter
Academic qualifications in data science (e.g. Masters’ or PhD in a STEM field)
Why Work with DataKind
At DataKind, we believe that people are the most important asset to delivering on our mission to collaboratively design data-driven, innovative solutions to tough social challenges. Working with us means that you will have:
Flexibility in your working schedule. This includes flexing your schedule, ending your workday early or starting late to care for kids or to walk your dog, etc. It also includes a bi-weekly “Flex Friday,” or shared focused day where no internal meetings are scheduled and staff can dedicate time for writing and other focused required tasks.
Generous leave policies: Paid Parental Leave, 14 paid holidays annually and unlimited PTO!
Access to an outstanding health plan. We pay 100% of medical, vision, and dental benefits for employees and 70% for spouse and dependent coverage.
Support to plan for your future. We offer a 401(k) plan and match employee contributions up to 5% of the annual salary.
Opportunities to learn and grow. Each year, we budget funds for each staff person to access ongoing professional development support.
Wellness Reimbursement Program. A wellness program that gives employees the ability to request reimbursement for wellness and lifestyle purchases that are meaningful to them like bikeshare/gym memberships, home workout equipment, or home office wifi service.
DEI commitment. DataKind is committed to a diverse, equitable and inclusive work environment in both our day-to-day work and via special initiatives that are driven by our DEI Steering Committee.
DataKind is an Equal Opportunity Employer
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 | Jerry |
🚗 🚗 Here at Jerry, we think owning a car should be as easy as taking a drive. 🚗 🚗
The Data and Analytics (DNA) team owns data at Jerry and drives intelligent business decision making through analytical insights and advanced models. The DNA team is seeking an exemplary data scientist to accelerate the company’s continuous growth and take its customer experience to the next level.
As a senior data scientist, you bring your expertise in product and user analytics to Jerry. You will lead the design and development of A/B tests and analytical models to understand user experience and drive feature and design decisions. You will join a team of data engineers, data analysts and data scientists. We are passionate about our mission to build a car ownership super app. We work hard and we also like to have fun.
RESPONSIBILITIES
Lead the design and development of A/B tests on app features and user experienceProduce research projects to recommend business strategiesDefine data science standards and best practices and drive operational excellencePartner with product managers to advise product decisionsPartner with and mentor data analysts to build reports and visualizationPartner with other data scientists to evolve, optimize and integrate machine learning models
BASIC QUALIFICATIONS
Master’s degree in a highly quantitative field (Computer Science, Mathematics, Statistics, Operational Research, Machine Learning, etc.)5+ years of experience as a data scientist or in a similar role3+ years of experience with scripting languages (Python, Java, etc.) or statistical packages (R, SAS, Matlab, etc.)Hands-on experience of SQL Proven experience in designing and implementing A/B tests and other user researchesProven ability in effective verbal and written communication to technical peers and leadership teams with various degrees of technical knowledge
PREFERRED QUALIFICATIONS
Doctoral degree in a highly quantitative field (Computer Science, Mathematics, Statistics, Operational Research, Machine Learning, etc.)5+ years of experience as a data scientist with a consumer-facing technology company 3+ years of experience as a data scientist working on user acquisition and retention initiativesExperience with web and app user experience analysis3+ years of experience working on machine learning modelsExperience in analytical and visualization platforms (Tableau, Qlik, Power BI, etc.) Experience providing technical leadership and mentorship
About Jerry:
Jerry is building the first Super App to save car owners time and money on all their car expenses. Drivers deserve better. That’s why we’re committed to making shopping for insurance, financing, maintenance, repairs, parking and more just a few clicks, texts, or swipes away.
Jerry is taking processes that haven’t substantively changed in decades and reimagining and redesigning them. Using artificial intelligence, machine learning and bots, Jerry eliminates the need for long forms and phone calls while providing personalized services for all car-owners’ needs.
Today, Jerry is the #1 rated and most downloaded app in its category and the fastest way to compare and buy car insurance. We have more than 1M customers and we are just getting started. Join our team of curious and passionate people who love tackling real-world problems and be a part of building a revolutionary product that’s disrupting a massive market.
Jerry was founded in 2017 by serial entrepreneurs and has raised more than $130 million in financing.
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Director Ii Data Science Product Design Modeling Property General Liability | Liberty Mutual |
The Product Design and Modeling team has two openings for a Director II, Data Science, who will each lead a team responsible for driving pricing and non-pricing sophistication in the US Design team separately for the Property and General Liability (GL) lines of business. These managers will report directly to the Package & WC Design Lead and will collaborate with global teams in Product Design and Modeling, including Complex Components, Demand Modeling, and Pricing Sophistication.
The positions are responsible for the following:
Building complex models that lead best-in-class new business pricing sophistication
Leading the project and pricing management of the Property or GL line of business
Developing a high-performing pricing modeling team
This level reflects broad knowledge of Business Lines products, actuarial & data science techniques, and the application of those techniques for the Property & GL lines of business, separately.
Responsibilities:
Develop expertise in Property or GL products in self and team as well as understanding of relationship with BOP products
Build complex models that lead best-in-class new business pricing sophistication
Collaborate with Economics team to understand product performance, investigate gaps and drive for additional accuracy in pricing models
Explore and utilize advanced modeling techniques (e.g., machine learning techniques such as Elastic Nets); collaborate with the Office of Data Science, and partner teams in Product Design and Modeling and Global Risk Solutions(Commercial Lines) to develop and align on best practices
Collaborate with Delivery, Solutions, and Underwriting Effectiveness teams to help implement new pricing programs
Provide thought leadership on the pricing strategy of Property or GL and how they support the BOP line of business
Lead the project and pricing management of the Property or GL line of business
Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processes
Develop a high-performing pricing modeling team
Job Specifications:
Reference: 2022-47152
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$172,900.00-–-$227,500.00-/-Year
Education Level:
Travel: As Needed
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Sr Data Scientist | Thredup |
About thredUP:
thredUP is transforming resale with technology and a mission to inspire a new generation of consumers to think secondhand first. By making it easy to buy and sell secondhand, thredUP has become one of the world’s largest resale platforms for women’s and kids’ apparel, shoes and accessories. Sellers love thredUP because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. In 2018, we extended our platform with thredUP’s Resale-As-A-Service (RaaSⓇ), which facilitates modern resale for a number of the world’s leading brands and retailers. thredUP has processed over 125 million unique secondhand items from 35,000 brands across 100 categories. By extending the life cycle of clothing, thredUP is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.
How You Will Make An Impact
At thredUP, we’re working to revolutionize the clothing industry and we're looking for a curious and creative team member to help manage our complex, multi-sided marketplace. As part of our data science team, you will take on the critical task of realizing the power of our inventory. You will work with an interdisciplinary team of data scientists, software engineers, analysts, and product managers to generate marketplace insights and build the algorithms that drive pricing, discounting, supplier acquisition, and inventory management efforts. If you get excited about data-driven decision making and want to play a role in managing a highly dynamic marketplace, we’d love to meet you.
In This Role You’ll Get To
Design and implement algorithmic solutions to drive decisions around item acceptance, item pricing, and discounting and clearance strategies for 4.8M unique items in inventory and 1.5M new items every month
Uncover insights in our vast repository of raw data, providing tactical guidance on how to achieve an inventory assortment that maximizes growth and value for all marketplace participants
Design, configure, and analyze experiments that uncover fundamental truths about our marketplace and maximize the value of our inventory and drive business growth
Create mathematical representations of the flow of items into and out of our marketplace with keen attention to the constraints of an evolving operational system
Drive the inventory strategy for promotions, merchandising campaigns, and sales, and investigating their effect on inventory and buyer mix
Participate in our knowledge-sharing culture by spreading best practices and learnings from prior experiences, helping the entire team level up
What We’re Looking For
Professional experience in data science, machine learning, or software engineering roles
Strong cross-functional communication skills that help push projects forward and encourage the development of new collaborations with business teams
Innate curiosity and drive to find insights that unlock new growth or efficiency - you can’t help but dig in and seek the truth!
Well-rounded skill set that may include statistics, machine learning, data visualization, software development, and project management
Advanced knowledge of SQL and Python, with experience writing code in a collaborative environment
Prior experience working with marketplaces and/or a relevant background in economics or operations research is a plus
What We Offer:
- 4-day work week with Fridays off
- Competitive salary (we leverage market data) + stock
- Employee stock purchase plan
- Flexible PTO (take the time you need) + 13 company holidays (US offices)
- Paid Sabbatical after 3 years of full time employment
- Generous paid parental leave for new mothers and fathers
- Medical, dental, vision, 401k, life and disability insurance offered
- We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth
- Voted “50 Most Innovative Companies of 2020”
- RaaS - Finalist in Fast Company’s World Changing Ideas Awards 2021
- 2021 FORTUNE Change the World Finalist
We believe diversity, inclusion and belonging is key for our team.
At thredUP, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.
If you are a Colorado applicant, please e–mail [email protected] for salary information.
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Senior Data Scientist Marketing | Duckduckgo |
Hi, we’re DuckDuckGo, the Internet privacy company for everyone who's had enough of hidden online tracking and wants to take back their privacy now. For over a decade, we've been building our product, including new privacy technology, and working with policymakers to make online privacy simple and accessible for all.
Our app is now downloaded more than 50M times a year, and our private search engine packaged with it has become the #2 search engine on mobile in the U.S., Canada, Australia and the Netherlands. Oh, and we've been profitable since 2014 with revenue currently exceeding $100 million a year! Now we’re rolling out major new features, such as Email Protection and App Tracking Protection, and we’re also working on a desktop browser version of our app for Windows and macOS.
We’re looking for a Marketing Data Scientist to help shape our all-in-one privacy solution and join our mission to show the world that protecting your privacy online can be simple.
The Opportunity
In this role You will bring a data science perspective to marketing campaigns to ensure we design tests optimally to gain statistically valid strategic insight. You will also improve, streamline, and apply our methods for analyzing data to assess the effectiveness of our marketing campaigns.
What You Will Bring to DuckDuckGo
Ability to lead and collaborate on high-impact and complex projects from proposal through post-mortem.
Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics.
Significant experience with data science with a focus on analytics.
Experience with statistical modelling and time series analysis
Experience designing experiments and interpreting results.
Experience with marketing campaigns
Comfortable working with internal funnel and usage data as well as survey-type metrics and ability to combine and synthesize takeaways across data sets.
Experience with segmentation and ability to tease out insights from large and sometimes ambiguous data sets and translate into hypothesis and media recommendations
Creative and curious, innate desire to pose questions of the data and seek novel findings that can help direct the company's strategy.
Enjoys working independently and collaboratively with agencies, media planners, media strategists, user insights and product experts etc.
How We Will Support You
Our core values -- build trust, question assumptions, and validate direction -- underpin how we work day-to-day and the support we give our team members. We strive to empower our team members to be self-directed and self-motivated in their work.
Remote First, Always: We've always been a fully distributed company with team members all over the world. We trust you to get your work done wherever, whenever.
Commitment to Personal Growth: Every team member has an annual budget of $1,250 USD to invest in their professional development. Every team member also has a dedicated Career Advisor, who serves as a guide to help you develop your strengths, identify your motivations, and understand your opportunities for growth.
Leadership: We have many different types of leaders and possible combinations of leadership roles, so you can grow your career in a way that aligns best with your personal goals. You can seek additional leadership roles by being directly responsible for projects, taking ownership of areas of the company, developing and maintaining internal processes, or pursuing advisory roles.
Work/Life Balance: Team members have the freedom and flexibility to organize their own work schedules. We want you to thrive both in and out of the office. We trust you to use good judgment and take the time off that you need to bring your best self to work.
We also offer paid parental leave, a co-working stipend, office setup reimbursement, and a wellness stipend. More support resources can be found in our, Team Member Support Guide, which explains how we make your well-being a priority.
For more information on how we collaborate worldwide, from leadership in our relatively flat organization to start-to-finish ownership, check out DuckDuckGo Culture: How We Work.
Compensation
Annual compensation: $160,000 USD and stock options.
Hiring Process
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo and envision your future role here. Find out more about how we hire.
Diversity, Equity, and Inclusion
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to [email protected] to let us know the nature of your request.
If you think you might thrive in this environment, we would love to hear from you.
Please note that:
Sometimes we meet up! Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While these plans were halted due to the COVID-19 pandemic, we plan to recommence all company meetups in 2022.
While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
A successful candidate will be subject to a background check and must receive satisfactory results of the same, as a condition of joining the team.
By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
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Data Scientist Engagement Experimentation | Cityblock |
About Us:
Cityblock Health is the first tech-driven provider for communities with complex needs—bringing better care to where it’s needed most, block by block. Founded in 2017 on the premise that “health is local” and based in Brooklyn, we are backed by Alphabet’s Sidewalk Labs along with some of the top healthcare investors in the country.
Our mission is to improve the health of underserved communities. Importantly, our solutions are designed specifically for Medicaid and lower-income Medicare beneficiaries, and we meet our members where they are, bringing care into the home and neighborhoods through our community-based care teams and Virtual Care offerings.
In close collaboration with community-based organizations, local providers, and leading health plans, we are reorganizing the health system to focus on what matters to our members. Equipped with world-class, custom care delivery technology, we deliver personalized primary care, behavioral health, and social services to deliver a radically better experience of care for every member and community we serve.
Over the next year, we’ll grow quickly to bring better care to many more members and their communities. To do this, we need people who, like us, believe that everyone should have good care for what matters to them, in their community.
Our work is grounded in a belief in the power of a diverse community. To close gaps in care and advance equity in the communities we serve, we have to start with making our own team diverse and inclusive. Our ways of working are characterized by creativity, collaboration, and mutual learning that comes from bringing together a community from diverse backgrounds and perspectives. We strive to ensure that every person on the Cityblock team, and every Cityblock member, feels supported and included as a part of our community.
Our Values:
Aim for Understanding
Be All In
Bring Your Whole Self
Lean Into Discomfort
Put Members First
About the Role:
This individual will work closely with Cityblock’s engagement team, sitting at the intersection of using healthcare data to enhance member outreach and engagement success, and to inform strategies for future engagement efforts in a complex member population. Using statistical methods, this individual will work closely with the Head of Behavioral Insights to test hypotheses and set up experimental designs to run multiple parallel experiments across different member populations to determine the most effectives methods of member outreach to drive engagement. This role will also collaborate closely with the upstream Data Platform team to inform how we should enhance our data warehouse infrastructure to enable scalable engagement experimentation. The products of this individual’s work should lead to the design and development of an experimentation infrastructure that leverages technology to meet stakeholder needs beyond just engagement initiatives, and has broader impact across the organization.
Requirements for the Role:
Master’s in a statistical field such as biostatistics or epidemiology preferred, or bachelor’s degree in a similar quantitative field with 5+ years of industry experience
Strong communication and presentation skills required, particularly regarding the communication of data and insights
Ability to self-manage multiple projects independently and balance these across multiple stakeholders
Experience using SQL-based data warehouses required, bonus if experience using Google Cloud Platform tooling such as BigQuery, as well as proficiency with data programming languages such as R or python and their relevant statistical packages
How We Define Success:
Strong relationship development with key stakeholders leading to success of and agile decision-making in their experimentation initiatives
Creation of data-informed roadmap for building out more scalable experimentation infrastructure
Development into key opinion leader for how experimentation should be approached across the organization
Nice to Have, But Not Required:
Experience with healthcare data is helpful but not required
Experience related to marketing and engagement in any industry is a plus
Leadership or prior management experience preferred
What We’d Like From You:
A resume and/or LinkedIn profile
A short cover letter, please!
Cityblock values diversity as a core tenet of the work we do and the populations we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.
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We do not accept unsolicited resumes from outside recruiters/placement agencies. Cityblock will not pay fees associated with resumes presented through unsolicited means.
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Data Science Intern | Openx |
With some of the best minds in adtech under our global roof, we bring industry-leading technology, a tradition of great service to our clients, and huge scale ‚ÄĒ across every format, from mobile to CTV. This allows us to build products that lead to greater reach for buyers and higher revenue for publishers ‚ÄĒ while solving some of the most intricate problems in digital marketing at large. That's the power of OpenX.
About You
You enjoy solving complex quantitative problems and are eager to work with tools and technologies that may be outside your comfort zone.
You enjoy working in an open and collaborative environment.
You are highly communicative, presenting relevant, concise, and empirically-driven information.
You have the self-motivation to work independently but also know when to ask for help or guidance.
You are highly driven but recognize when compromises are a more efficient solution.
You are a dedicated software craftsperson who cares deeply about best practices and what it takes to write and maintain great code.
Key Responsibilities
Extract and manage datasets from a big data framework to use for analyses and model training.
Assist in prototyping models, including model creation, training, and evaluation.
Implement training and real-time model evaluation architectures into production (in an existing codebase).
Run experiments to assess and report model performance in production settings.
Requirements
Working towards M.S. or Ph.D. in Computer Science, Statistics, Physics, Mathematics, Operations Research or related field.
Experience with Python is strongly preferred, experience with SQL and Java is also desirable.
Familiarity with data analysis and machine learning/modeling techniques including neural nets, gaussian processes, recommender systems, etc; robust knowledge of practical statistics and their application in machine learning.
Preferred experience with machine learning platforms and tools such as python/pandas or R, TensorFlow (strongly preferred) or PyTorch, etc.
Experience using cloud platforms such as GCP or AWS, while not required, is also favorable.  
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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Lead Senior Data Scientist | Wisetack |
Company Overview
At Wisetack, we’re building financially-responsible consumer lending products that help service-based businesses thrive.
Founded in 2018 by a team of experienced fintech veterans whose prior experience includes PayPal, LinkedIn, Lending Club, Affirm, Amazon, and other leading companies, Wisetack is a well-funded early stage startup with strong early customer traction. We’re backed by leading VCs, including Insight Partners, Greylock, and Bain Capital Ventures, investors in Airbnb, LinkedIn, Instagram, Dropbox, and many more.
We raised a $45M Series B last year and since then, we've invested in our people and technology and signed a slew of new partnerships. This is a fun stage in any company's lifecycle where we've got the core foundation built, a healthy growth rate, and a clear path to success, but you'd still be joining early enough to help shape the future of the company.
Business Insider recently named us one of the 70 most promising startups changing the world of finance and LendIt just named us as the winner in the Best Emerging Lending Platform category for their Fintech Industry Awards. The external recognition is great, but we're equally -- if not more -- happy with the recognition from our customers. Our current NPS rating is a sky-high 78. We're proud that we're building a product that customers love.
As a Lead / Senior Data Scientist you will use your quantitative skill set, obsession and empathy towards customers, and collaborative spirit to work closely with partners across Wisetack’s business to provide data driven insights that take our product and business to the next level. We will level this role to Lead or Senior depending on experience.
Your analyses will allow us to deeply understand our customers’ behaviors and needs, identify drivers of our business, and uncover opportunities to grow and engage with our customers. Ideally you are highly skilled in experimentation, causal inference, and data science modeling, with a specialization in one of these domains.
Job responsibilities
Act as a thought partner to senior leaders to prioritize and scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals
Generate new hypotheses and business questions using a deep understanding of our data, our customers and our business, then design experiments, analyses, and data science models that drive product engagement, customer satisfaction, and growth
Provide technical guidance and mentorship on solution design as well as lead code/design reviews
Drive our maturity and scale through architecture, data modeling, and analytic tool/platform recommendations
Candidate requirements
M.S. or Bachelors degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field
To qualify for the Senior level role, you must have at least 3 years of hands on experience optimizing product engagement, marketing spend, business development activities and/or customer service though machine learning models and/or experimentation and causal inference, ideally at a FinTech - if you have additional experience, we will level this role to Lead
Advanced SQL expertise
Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python
Strong sense of ownership to understand and communicate the actionable insights and recommendations that will drive strategic improvements, product engagement, customer satisfaction, and growth
Strong communication skills, with the ability to collaborate with various teams across an organization as well as present data insights and recommendations to executives and non-technical audiences
Experience working with data sets that can be thin, meaning reaching statistical significance can be difficult and creative analytic approaches might be needed
Can initiate and drive projects to completion independently
Comfortable in an entrepreneurial environment, with its fast pace and fluid nature - delivering results with a small, lean team
Wisetack is proud to be a remote-first company! Employees in remote roles have the option of working remotely or from the Wisetack office in SF, and may occasionally travel to the Wisetack office or elsewhere for required meetings or team-building events.
Spend a little time on our About Us page researching our team and our values, and check out our Press page and our blog for more background on what we do. If you think this might be a fit, we’d love to hear from you!
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Head Of Data Science | Gravie |
Hi, we’re Gravie. Our mission is to improve the way people purchase and access healthcare through innovative, consumer-centric health benefit solutions that people can actually use. Our industry-changing products and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.
We’re looking for a Head of Data Science who will be central to Gravie’s efforts to reinvent health insurance. This newly created position will be responsible for building and leading a function that develops and applies advanced analytics, machine learning, and artificial intelligence across Gravie’s business. You will drive data science innovations that are key to designing, creating, and managing Gravie’s member-centric and technology-driven health benefits that improve the way people purchase and access healthcare.
You will:
· Build a company-wide data science function, with initial emphasis on driving value in underwriting (including pricing and risk assessment), product design and performance, and care navigation. You will incorporate methodologies from the realms of statistics, machine learning, and artificial intelligence.
· Draw upon your deep industry expertise, analytical acumen, and intense curiosity to investigate and synthesize diverse datasets -- including demographics, actuarial and underwriting models and analyses, plan designs, claims, medical and clinical data, and more -- to derive insights.
· Lead and build teams to manage and drive data science initiatives – and also roll up your sleeves and dig in as needed to design, build, and deliver analyses, models, and insights.
· Build both a culture and infrastructure of exploration, research, and development that can be translated into meaningful improvements to Gravie’s business and improvements to our customers.
· Blend traditional and novel approaches in your work, bringing insights on promising trends in data science and analytics across industries.
· Extend and enhance current lines of inquiry, and develop and lead new and more robust areas for research and development.
· Source and integrate new datasets that will improve insights.
· Collaborate with other teams, including, product strategy, engineering, underwriting, actuarial, finance, reporting, and leadership teams, to understand and identify business needs and deliver insights.
· Ask and answer the right questions, including: How are we doing? What should we continue doing? What should we stop doing? What should we start doing in the future?
· Communicate results to stakeholders across the business including senior leadership and recommend courses of action as well as avenues for further inquiry.
· Demonstrate commitment to our core competencies of being authentic, curious, creative, empathetic and outcome oriented.
You bring:
· Outstanding analytical aptitude and problem solving skills
· An advanced degree (or equivalent certification) in mathematics, statistics, actuarial science or a related field
· Intense curiosity with a drive to get to the bottom of things
· A love of finding new and better ways of doing things
· Experience successfully leading and growing high-performing teams
· Technical fluency with relevant software and systems
· Excellent attention to detail
· Habits of excellent organization, time management and responsiveness
· A flexible attitude and ability to work independently with limited direction
· An appetite for learning and quickly putting what you learn into practice
Extra credit:
· Previous start up company experience
Where permitted by applicable law, candidates must be fully vaccinated or be willing to be fully vaccinated for COVID-19 by date of hire to be considered for a job at Gravie.
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Senior Data Science Manager Merchant Services Retail Growth | Shopify |
About the role
Our mission in Merchant Services, Retail is to help retailers everywhere thrive in an e-commerce reality.
As e-commerce becomes more and more crucial to an overall retail strategy, retailers must adapt and Shopify is uniquely positioned to help. We have developed world class retail Point-of-Sale (POS) products that have the power to transform retailers’ physical stores and businesses from offline to omnichannel. We’re looking for someone to help us get these products in the hands of merchants everywhere. Together, we’ll make commerce work for local communities and make commerce better for everyone.
For the Senior Data Science Manager, Retail Growth role, we’re looking for someone who will:
Help drive customer acquisition, growth and activation to help us help merchants around the world
Use data to gain insights and drive decisions in growing a customer base
Lead a large team across multiple time zones and work cohesively to achieve shared goals
Partner closely with product growth leaders in Product, Engineering, UX and marketing to define growth strategy for Shopify retail
Identify, implement and measure new growth levers and product features through data analysis, product ideation, and experimentation to optimize product experiences
Lead a culture of understanding and experimentation defined by quantitative acumen, deep user empathy and rigorous A/B testing
Define and drive implementation of best practices in Data Engineering, Product Analytics and Machine Learning in alignment with business goals
Leverage deep industry knowledge to create broad awareness of the possibilities using data
Qualifications
You will need to have:
5+ years managing highly-technical teams of Data Scientists, Engineers and Analysts
Strong track record of driving successful product growth strategy through a combination of data analysis, product ideation, and experimentation
Gifted communicator with strong focus on communicating in clear and compelling ways to audiences of many non-technical backgrounds
Applied experience working with large datasets both as an individual contributor and a leader
Familiarity with design and analysis of controlled experiments (A/B testing)
Hands-on experience with data querying languages (e.g. SQL)
Experience leading managers and senior individual contributors
Deep understanding of the Python programming language (strongly preferred)
This is a world class product that has demonstrated product-market fit and a tremendous amount of potential to grow. With this role, you’ll have the opportunity to make a massive impact in a short amount of time and be a part of an incredible Shopify success story.
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
#LI-REMOTE
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
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Senior Data Scientist Shop | Shopify |
About the role
We're looking for a Senior Data Scientist to join our team as we turn Shop into one of the most beloved products and brands in the world. We want shoppers to be able to develop meaningful connections with the brands they love, and we believe that Shop is the answer to helping foster those relationships with the powerhouse of Shopify merchants we love and support.
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Your responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
Qualifications
You will need to have:
4-6 years of commercial experience as a Data Scientist solving high impact business problems
Extensive experience with Python and software engineering fundamentals
Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Curiosity about the problem domain and an analytical approach
Strong sense of ownership and growth mindset
It would be nice if you have:
Deep understanding of advanced SQL techniques
Expertise with statistical techniques and their applications in business
Masterful data storytelling and strategic thinking
Deep understanding of dimensional modelling and scaling ETL pipelines
Experience launching productionized machine learning models at scale
Extensive domain experience in e-commerce, marketing or SaaS
All your information will be kept confidential according to EEO guidelines.
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. We want to know what you're really interested in building and why you want to build it at Shop, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
|
Senior Data Scientist | Shopify |
About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
Qualifications
4-6 years of commercial experience as a Data Scientist solving high impact business problems
Extensive experience with Python and software engineering fundamentals
Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Curiosity about the problem domain and an analytical approach
Strong sense of ownership and growth mindset
Experience with one or more:
Deep understanding of advanced SQL techniques
Expertise with statistical techniques and their applications in business
Masterful data storytelling and strategic thinking
Deep understanding of dimensional modelling and scaling ETL pipelines
Experience launching productionized machine learning models at scale
Extensive domain experience in e-commerce, marketing or SaaS
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
|
Data Scientist | Shopify |
About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
Qualifications
3+ years of experience as a Data scientist. Domain experience in e-commerce, marketing or SaaS would be a plus.
Bachelor’s or Master’s degree in Information Technology, Mathematics, Computer Science or equivalent is preferred
Extensive experience with Python or Pyspark and software engineering fundamentals
Deep understanding of advanced SQL techniques, dimensional modeling and scaling ETL pipelines
Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders; Masterful data storytelling and strategic thinking
Strong sense of ownership and growth mindset; self-motivated and able to thrive in a remote environment
Excellent communication skills
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role. Closing date: Friday, May 13 at 11:59PM EDT. Successful candidates can expect to hear back from us within 2 weeks of application.#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
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Data Scientist | Best Egg |
Marlette Funding is a consumer financial technology (fintech) business on a mission to inspire financial confidence by helping people manage their day-to-day finances. We offer a digital financial platform with simple, accessible and personalized financial solutions including personal loans. credit cards and a financial health product.
The company is a fast-growing fintech that has been recognized numerous times as a best workplace. If you are energized by working in a fun organization where communication is open, everyone feels included, creativity is embraced, personal growth is encouraged, and you can make positive impact on the business, Marlette is the place for you.
Marlette 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 Best Egg 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 and 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.
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: 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.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
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.
Recruiting Agencies: We appreciate what you do and understand how challenging it can be, however please do not send us unsolicited resumes or cold outreach to our employees, job listings or recruiting team. If you are interested in helping us, you can apply HERE
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Data Scientist | Veho |
About Veho
Veho is a technology-driven shipping company that enables personalized next-day package delivery, extending partner brand value. Veho brand partners have seen a 20% increase in customer repurchase, 40% increase in customer lifetime value, and 8% rise in net promoter score.
Veho gives package recipients greater insight and control, letting them know when they will receive their package, when drivers are en route, and enables real-time rescheduling, address changes, and personal delivery instructions. Veho's technology matches demand for package delivery with a network of qualified crowdsourced driver partners, ensuring every package is delivered on time and correctly.
The concept for Veho started as a school project while co-founder Itamar Zur attended Harvard Business School. Zur constantly experienced issues receiving packages - from getting the dreaded “we missed you” note, to stolen packages. He set out to fix the problem so many customers and brands face.
Today, Veho’s robust technology platform provides customers and e-commerce brands with an unparalleled shipping experience, an industry record 99.9% average on-time performance for next-day delivery and an average 4.9-star customer rating. With teammates in 30 U.S. states, Veho will be in 50 markets by the end of 2022.
About The Role
Data scientists use data to shape the direction in which companies grow. At Veho, we are looking for someone to be the primary partner for cross-functional stakeholders to understand our ground operations performance. When a metric is ahead or behind expectations, you will help to dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success. You will also be tasked with forecasting and opportunity sizing to help business stakeholders evaluate trade-offs in different approaches, and create realistic targets for driving business performance.
Responsibilities Include:
Build, maintain, monitor, and improve numerical model pipelines in one or multiple areas of Data Science expertise, such as machine learning and linear programming
Developing custom or improving existing data models using predictive modeling to increase and optimize customer experiences, ground operations, and other business outcomes.
Design and implement non-technical reports that detail the successes and limitations of each project, inclusive of data acquisition, pre-processing, and analysis
Utilizes predictive modeling to run classification, regression, segmentation, NLP, and time-series models to address business needs.
What You Bring:
Minimum 3 years experience as a data scientist.
Proficiency in R or Python, where the former is preferred.
Be familiar with structured/unstructured data
Exposure to big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via SQL and data pipelines
Industry experience in defining and building metrics, performing business analysis, and quantifying decisions through the utilization of data
Competent in machine learning principles and techniques.
Demonstrable history of devising and overseeing data-centered projects.
Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
Bachelor's degree (Masters preferred) in data science, mathematics, physics, statistics, computer science, or similar.
#LI-Remote
Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission: to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers. We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people. We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. Applicants must be able to understand and effectively communicate orally and in writing with all parties regarding work matters, which are generally conducted in English. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
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Solutions Data Science Internship | One Concern |
About One Concern
One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.
The Role
One Concern is growing rapidly, and we are looking for a passionate, mission-driven Solutions Data Science Intern to join our team. In this role, you’ll work with our solutions team to build data analytics and statistics visualizations corresponding with client requests. This is a full-time internship for a period of two to three months with the possibility of converting to full-time employment.
What You'll do
Collaborate with an interdisciplinary team of data scientists on cross-functional projects, interpreting data, and translating into actionable insights.
Support an international team of researchers in designing and testing supply chain models.
Work with and support domain experts and data scientists in different projects.
Query and analyze large datasets in accordance with client requests.
Perform data sanity checks to ensure data integrity and summarize data to provide meaningful insights.
Build easily digestible and reproducible visualizations for the data summaries.
Qualifications and Experience
Pursuing Ph. D. or MS in computer science, statistics, mathematics, or related fields.
Experience in supply chain risk analysis and operations research.
Network analysis background highly desirable
Exposure to coding, Python or MATLAB proficiency highly preferred
Nice to Haves
SQL or Snowflake experience
Domain knowledge of natural disasters
Experience in large scale simulations
Compensation will be competitive with the market for this position and will include equity consideration. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Staff Data Scientist | Bolt |
Responsibilities
Build production ready data mining and big data analytics algorithms and pipelines; your models will be the engine that powers all online commerce through Bolt
Conduct data analysis to determine which policies we adopt and help inform strategic growth
Build statistical models, data pipelines, data mining, data analytics, and production ready services to serve offline and live traffic
Work with other teams at Bolt to engineer data models and extract data insights that help improve Bolt business
About you
Passion to improve e-commerce businesses
Strong communication skills in a cross-functional team
Unrelenting focus on impact
Ability to formulate business problems into quantitative objectives and developing methodological solutions
Requirements
MS/PhD in math, statistics, computer science, or other quantitative field
5+ years of experience in developing ML/statistical models in an applied setting
Knowledge of statistical concepts and techniques such as statistical inference, causal inference, or predictive modeling
Knowledge of data mining, and big data analytics techniques
Experience with big data processing pipelines and orchestration tools
Mastery in SQL or other big data processing languages
Experience with one of the programming languages such as Python, R, Java, Scala
Preferred
Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda
Check out our Engineering Blog!
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Senior Data Scientist | Bolt |
The Data Platform team works closely with all teams and cross-functional partners (including product, engineering, and data analysts) to build a foundational data stack powering business analytics.
We are looking for someone to play a mission-critical role in designing and building the data mining algorithms, and data analytics pipelines at Bolt. We’re looking for someone with the experience, creativity, and passion for producing world-class technology who can support our product, leadership and marketing teams with insights gained from analyzing our data. Other teams at Bolt, other companies, and consumers alike will rely heavily on what you build, and you’ll have a ton of trust and responsibility. If challenges excite you, and you’re ready for a large one, let us know.
Check out our Engineering Blog!
Responsibilities
Build production ready data mining and big data analytics algorithms and pipelines; your models will be the engine that powers all online commerce through Bolt
Conduct data analysis to determine which policies we adopt and help inform strategic growth
Build statistical models, data pipelines, data mining, data analytics, and production ready services to serve offline and live traffic
Work with other teams at Bolt to engineer data models and extract data insights that help improve Bolt business
About you
Passion to improve e-commerce businesses
Strong communication skills in a cross-functional team
Unrelenting focus on impact
Ability to formulate business problems into quantitative objectives and developing methodological solutions
Requirements
MS/PhD in math, statistics, computer science, or other quantitative field
3+ years of experience in developing ML/statistical models in an applied setting
Knowledge of statistical concepts and techniques such as statistical inference, causal inference, or predictive modeling
Knowledge of data mining, and big data analytics techniques
Experience with big data processing pipelines and orchestration tools
Mastery in SQL or other big data processing languages
Experience with one of the programming languages such as Python, R, Java, Scala
Preferred
Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda,
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Senior Data Scientist | Homeward |
About Homeward
Buying a home should be an exciting milestone. But all too often, it’s stressful, especially in a competitive market or when you’re buying and selling at the same time. So we’re redesigning the home-buying experience. We’re a fast-paced real estate startup that empowers agents to help homebuyers buy with cash. We buy homes on behalf of our partners’ clients with our cash, then the client buys the home back from us.
Founder and CEO Tim Heyl, a 10-year industry veteran and owner of one of the fastest-growing agent teams in the country, started Homeward in 2018. In fact, he bought our first customer’s home with his own life savings. Today we offer two services — Buy with cash and Buy before you sell — in Texas, Colorado, and Georgia.
We’ve raised more than $160MM in equity capital from top-tier venture investors, including Norwest, Blackstone Alternative Asset Management, Adams Street, Javelin, and LiveOak. Our leadership team includes experts from the real estate, mortgage, and technology industries.
About the Role
We're seeking a Senior Data Scientist to help us build a simpler, more customer-centric experience in partnership with real estate agents. Data at Homeward is a crucial part of our mission to streamline the home buying and selling process. From dimensional modeling and pipelines to machine learning products and decision support, data science at Homeward is a diverse role with many opportunities to positively impact our success.
This position is not eligible for visa sponsorship.
Responsibilities:
Partner with data engineering and analytics teams to drive data-driven decision making throughout the business and define the data models required to support it
Proactively identify and champion projects that solve complex problems across multiple domains
Work with product managers and analysts to design and build solutions that fulfill operational and reporting needs throughout the company.
Design, train, and implement machine learning algorithms to automate or augment human decision making and business processes
Leverage predictive models to optimize customer experiences
Define and advance best practices within data science and product teams
Requirements:
5+ years experience working on a small, tight-knit, high-performing data team, or 3+ years plus a PhD in a related STEM field
Advanced statistical knowledge, and the ability to gather insights and influence decision-making using data
Advanced working knowledge of SQL and database structure and modeling
Experience with Python and software engineering fundamentals
Experience launching productionized machine learning models at scale
Prefer experience with cloud-based PaaS and IaaS offerings (most notably AWS)
Ideally, familiarity with data in the real estate domain (i.e. MLS data)
Values
Golden Rule
“Treat others how you want to be treated.” We’re building our company culture and customer experience with this as the guiding principle. It’s a simple rule, but emphasizes that we don’t prioritize money or growth over people.
Calm Focus
We don’t chase every opportunity and rush from urgent task to urgent task. We relax, stay calm, and focus on our company-wide objectives. If something is out of scope, we say “no”. If something feels rushed we slow down and think it through so we can avoid unnecessary rework later. We don’t bombard each other with notifications expecting instant response times. We block off time for deep work so we can get into the flow and create solutions our customers love. Multi-tasking isn’t effective or enjoyable.
Cross Functional Collaboration
We look at our customers’ experience holistically and recognize that improving it requires support from multiple functions. Given this, we’re excellent collaborators. No function is more important than another and we’re eager to work as a team to solve our customers’ toughest problems. We value strong internal alignment, and take pride in understanding and considering our teammates' perspectives before expressing our own.
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Data Scientist Ii | Braze |
Braze is seeking a Data Scientist to join our Growth team to automate and optimize our customers’ growth and retention programs through ML-assisted decision-making, and prediction.
At Braze, we don’t just use machine learning to build models, we’ve built an on-demand ML model delivery platform to help our customers take advantage of the billions of users and hundreds of billions of data points that flow through our systems.
You will help discover the scope of what is possible with machine learning and AI in our systems, test and validate new predictive and statistical features, and tailor complex AI workflows for easy use by non-technical users. You will help build processes for maintenance and monitoring of these tools as well as for management and sharing of model code and testing.
WHAT YOU'LL DO
Collaborate with Engineering, Product, and Data Consultants to build innovative ways to leverage data and automate decision-making for our customers.
Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals.
Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised or unsupervised learning, neural networks, or simple regressions
Build processes to help catalog, maintain, and share the above with fellow data scientists and engineers
WHAT YOU HAVE
Masters in Computer Science, Applied Mathematics, or similar computational field or equivalent experience
Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI, neural networks in a production setting
Fluent in Python
Experience with frameworks such as TensorFlow, PyTorch, or similar
2+ years of software engineering experience
Proficiency with relational databases
2+ years working with cloud or distributed systems
Bonus:
Publication record in machine learning, artificial intelligence, or similar algorithmic fields
Familiarity with document-based databases
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Senior Data Scientist | Cherre |
Cherre is the leader in real estate data and insight. We connect decision makers to accurate property and market information, and help them make faster, smarter decisions. By providing a unique "single source of truth," Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.
Cherre is looking for a Senior Data Scientist who will be building ML algorithms and AI. This role requires a combination of quantitative and software engineering skills to build scaleable solutions. Because of the complexity and variety of the data sets we use, it's critical that you have an interest in learning Real Estate and Derived datasets. Previous Real Estate experience is not required. You will not only do analysis, but will also be expected to deliver production code.
We are remote-first company. This role is open for #BI-Remote or #Hybrid
You Have
Proven record of delivering successful data science projects.
3+ years of industrial software engineering experience with an emphasis on data-centric technologies.
Advanced degree in a STEM field.
Practical knowledge of cloud computing ecosystems (AWS, Azure, Google Cloud).
Fluency in Python and SQL. Experience with PySpark is a plus.
Excellent communication skills, and an ability to explain your work to customers
Benefits
Competitive Base Salary
Equity
Range of Healthcare Plans
Paid Parental Leave
Educational Credit
Unlimited Vacation
Flexible Work Schedule
If this opportunity sounds interesting, apply or reach out to our internal talent team. We are happy to tell you more about Cherre: the technology we work with, the problems we solve, the team we are assembling, and the culture we all contribute to. We are excited you are considering working with us and look forward to hearing from you!
“At the top of the mountain we are all snow leopards.” - Hunter S. Thompson
Cherre is an equal opportunity employer. We pride ourselves on hiring the best people for the job no matter their race, sex, orientation, nationality, religion, disability, or age.
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Data Scientist Customer Insights | Farmer S Business Network |
Company Overview
Farmers Business Network® (FBN®) is on a mission to power the prosperity of family farmers and rural communities around the world, transforming how the world farms with an integrated, technology-enabled agricultural platform.
We offer high ROI farm inputs, fintech and sustainability products and services powered by network data, and farm-tested insights from our global farmer community. Our platform helps FBN® members make confident decisions to ensure the economic viability of their farms, while also empowering them to be a part of the solution as the global community confronts its most pressing issues: providing food security for a growing population, transitioning to more sustainable agriculture, and responding to climate change.
We are a dynamic, innovative, and mission-driven AgTech company that offers competitive compensation and benefits as well as boundless career mobility. We are backed by top investors, including Fidelity, ADM, Google Ventures, Kleiner Perkins, DBL Partners, T Rowe Price and Temasek. We have been featured in these articles by the Wall Street Journal and Forbes, and were also named "One of the 50 Most Innovative Companies in the World" by Fast Company Magazine.
THE ROLE
How can we sustainably feed the world? With the population set to reach nine billion by 2050 and available farmland decreasing, the odds are stacked against us. This problem falls squarely on the shoulders of farmers, who are increasingly working harder for less. FBN helps farmers to solve these problems.
Farmers are often forced to make key decisions in the face of significant uncertainty about their impact. FBN applies technology and data science to this challenge. We're building the world's largest agronomic dataset - made up of billions of data points, gathered from sophisticated sensors on farm equipment. The network effect of farmers sharing their data allows us to deliver unprecedented analyses that help farmers make data-driven decisions - we're not just building new technology, we're also making new agricultural scientific discoveries.
Data science underlies every product that we build at FBN, so you'll see your work directly translate into new products for our farmers. The Data Science Team at FBN:
Explores one of the world's most unique, interesting, and diverse datasets
Furthers scientific understanding about what affects agricultural production
Uncovers insights that help farmers efficiently support a growing population
Makes meaningful improvements in the world by translating data science into products that help farmers increase yield and efficiency
We're looking for a Data Scientist, Customer Insights to help us better understand our farmer customers. More specifically, this role will:
Lead the data science track of our cross-functional [Customer Insights team]
Dive into the data to discover what makes our farmer customers tick, what keeps them up at night and inform how we can connect them with the right products at the right time.
Leverage diverse data types (behavioral, demographic, market, etc.) to develop data-driven customer segmentation.
Package and communicate compelling analyses that inform our marketing strategies, product personalization and growth efforts.
Build scalable data pipelines, models and frameworks that help our teams better serve our farmer customers.
Design, implement and analyze hypothesis-driven experiments to optimize the performance of our targeted marketing and product personalization efforts.
Required Skills
5+ years working with customer data (e.g., digital engagement, marketing campaign response, behavioral, demographic, etc.) to drive key business outcomes
Experience building and or leveraging unique and proprietary data systems that combine data from many sources (e.g., public, private, user, derived insights) to drive business outcomes.
Deep understanding of statistical modeling concepts
Familiarity with machine learning algorithms
Excellent programming skills (R or Python preferred)
Familiarity with cloud computing and version control
Required Experience
MS or greater in statistics or related discipline
The following represents FBN's reasonable estimate of the US national average base salary range of possible compensation for this role based on market data and placement of internal employees: $120,000 - $135,000.
This salary range may vary based on geography and variations in cost of labor. Beyond the above or adjusted to market salary range, FBN also offers all full-time employees competitive equity compensation, health and wellness benefits, and various perks.
FBN is proud to be an equal opportunity employer that is committed to diversity and inclusion in the workplace. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. FBN considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.
We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here.
FBN is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please email fill out this form.
#LI-REMOTE
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Data Scientist | Farmer S Business Network |
COMPANY OVERVIEW
Proudly Farmers First℠!
What do you get when you cross the best of Silicon Valley innovation and technology with the value driven mission of Family Farmers around the world?
Farmers Business Network, Inc. (FBN℠)!
FBN℠ was created by farmers for farmers and is on a mission to power the prosperity of Family Farmers around the world by leveling the playing field through insights, commerce and community. Our goal is to enable them to make smart business decisions that maximize their farms profit potential for generations to come, helping to ensure the fundamental economic viability and sustainability of family farms and rural communities.
We are a dynamic, and innovative AgTech company that offers competitive compensation and benefits and is backed by top investors including Google Ventures, Kleiner Perkins, DBL Partners, T Rowe Price and Temasek.
THE ROLE
How can we sustainably feed the world? With the population set to reach nine billion by 2050 and available farmland decreasing, the odds are stacked against us. This problem falls squarely on the shoulders of farmers, who are increasingly working harder for less. FBN helps farmers to solve these problems.
Farmers are often forced to make key decisions in the face of significant uncertainty about their impact. FBN applies technology and data science to this challenge. We're building the world's largest agronomic dataset - made up of billions of data points, gathered from sophisticated sensors on farm equipment. The network effect of farmers sharing their data allows us to deliver unprecedented analyses that help farmers make data-driven decisions - we're not just building new technology, we're also making new agricultural scientific discoveries.
We're looking for data scientists who are enthusiastic about applying big data to help farmers!
Data science underlies every product that we build at FBN, so you'll see your work directly translate into new products for our farmers. The data science team at FBN:
Explores one of the world's most unique, interesting, and diverse datasets
Furthers scientific understanding about what affects agricultural production
Uncovers insights that help farmers efficiently support a growing population
Makes meaningful improvements in the world by translating data science into products that help farmers increase yield and efficiency
Required Skills
5+ years working with pricing, macroeconomic, ecommerce and/or supply chain data to drive key business outcomes
Deep understanding of statistical modeling concepts
Familiarity with machine learning algorithms
Experience with time series analysis and demand forecasting / demand planning
Excellent programming skills (R or Python preferred)
Familiarity with cloud computing and version control
Preferred: Experience with geospatial data science tools (e.g., Google Earth Engine; Python: gdal, shapely, rasterio, geopandas; R: raster, rgdal, sf)
Preferred: understanding of agricultural systems (soil chemistry, plant physiology, entomology, etc…)
Required Experience
MS or greater in statistics or related discipline
FBN is proud to be an equal opportunity employer that is committed to diversity and inclusion in the workplace. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. FBN considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.
We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here.
FBN is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please fill out this form.
#LI-REMOTE
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Arity Data Scientist Sr Researcher | Allstate |
Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
Job Description
Job Qualifications
The Team
At Arity, our Data Science team is at the core of helping us transform mobility. Not only do we know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties, but we are passionate about how it affects the end-users of our products. On our team, people get the opportunity to build scalable distributed data pipelines, develop and deploy an array of machine learning algorithms, and create eye-opening data visualizations. We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experience designers in development teams to create innovative products that make transportation smarter, safer, and more useful for everyone.
The Role
As a Data Scientist Researcher at Arity, you will be a key contributor to the Data Science Research team, a focused group within the larger Data Science team, that looks towards the future of telematics to anticipate the needs of our clients in 1-3 years. This newly created team is responsible for tackling our toughest data and analytics challenges and prototyping solutions that can be brought to market by our product segments. Reporting to the Expert Researcher who leads the team, you will bring fresh perspectives to this portfolio of work using a blend of techniques and tools. Your experience in your studies or at a previous company will help the team innovate and push boundaries. You will get to learn from more senior researchers and contribute to a strong work ethic within the team.
Responsibilities
Help the Data Science Research team manage its portfolio by finding and scoping new projects that could benefit various parts of the Arity strategy
Make technical contributions to the Data Science Research team by building models, pipelines, or prototypes and reviewing the contributions of others
Support the Data Scientist Community of Practice bringing together practitioners across the team to drive improvements to current practices and collaborate
Bring in outside viewpoints on how best to do telematics data science via scientific literature, conferences, speakers, and contacts across industries
Contribute to the broader data science community via technical blogs, white papers and speaking events
Help support our culture of intellectual honesty and openness, passion for what we do, hard work, and personal growth.
Qualifications
Subject matter expertise in data science gained from academic studies and experience as a data scientist or researcher in industry
Strong technical capability to build models, pipelines, prototypes, visualizations and analyses using standard data science tool sets, e.g. Python, R, Spark, C
Knowledge of the landscape of statistical and machine learning techniques and proven ability to navigate it to find the right approach and manage trade-off’s
Proven ability to drive technical projects with little guidance and lots of self-motivation
Strong research capabilities to synthesize the literature and other sources of new ideas, identify potential new avenues of development, and communicate their value to our business
Solid communication skills to drive adoption of your innovations and better understand the company and its strategy
Knowledge of telematics, insurance, data science on the edge, or other domains specifically relevant to our work is a big plus, but not required
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Arity.com Instagram Twitter LinkedIn
Allstate generally does not sponsor individuals for employment-based visas for this position.
Salary for this role is between $108,000 - $160,000
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment
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Marketing Data Scientist | Allstate |
The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities. Plus, Allstate is changing how, when, and where we work-to lead us boldly into our future. We're empowering our employees to create better ways of working through more intentional use of communication and collaboration practices, processes and tools.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
This position is part of an team responsible for leveraging data and analytics to answer complex questions and influence business strategy through communication of findings to senior management. Responsibilities include compiling, cleansing, organizing and analyzing complex data to understand business results. The ability to communicate and present findings and recommendations to the team and management is also critical.
This job does have supervisory duties.
Key Responsibilities:
• Compiles, cleans, organizes and analyzes complex data to understand business results• Establishes, modifies, documents and communicates standards of practice around data retrieval, data manipulation, data quality, data reporting and data analytics• Utilizes data and analytics expertise to coach and develop less experienced analysts• Makes the business insights derived from data and analytics accessible to those without technical skills• Provides technical expertise• Monitors and evaluates business initiatives against key performance indicators and communicates results and recommendations to management• Communicates and presents project information to team and provides presentations/updates to management• Influences strategy through data and analytics
Education and Experience:
• Bachelor's Degree in Math, Statistics, Finance, Business, Economics, IT or related field preferred, or equivalent experience• 3 years of data and analytics experience • 2 years of insurance experience preferred
Functional Skills:
• Advanced analytical and problem-solving skills• Experience in different programming languages such as SQL and R• General insurance knowledge• Strong communication skills, both written and verbal• Experience working with Big Data
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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Arity Data Scientist Expert Researcher | Allstate |
Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
The Team
At Arity, our Data Science team is at the core of helping us transform mobility. Not only do we know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties, but we are passionate about how it affects the end-users of our products. On our team, people get the opportunity to build scalable distributed data pipelines, develop and deploy an array of machine learning algorithms, and create eye-opening data visualizations. We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experience designers in development teams to create innovative products that make transportation smarter, safer, and more useful for everyone.
The Role
As the Data Scientist Expert Researcher at Arity, you will lead the Data Science Research team, a focused group within the larger Data Science team, that looks towards the future of telematics to anticipate the needs of our clients in 1-3 years. This newly created team is responsible for tackling our toughest data and analytics challenges and prototyping solutions that can be brought to market by our product segments. You will manage this portfolio of work, build the team, and own its vision and roadmap. Your experience in multiple companies and domains will lend itself to helping our teams improve their technical capabilities. You will consult on DS/ML architecture and patterns to help teams avoid common pitfalls in data science projects. As the senior most technical data scientist within Arity, you will advocate for the needs of data science broadly, lead the entire data scientist discipline by example, and coach and mentor across the team.
Responsibilities
Accountable for the building & evolving the vision, strategy and roadmap of the Data Science Research team and hiring and managing the data scientists / researchers on this team
Make strong technical contributions to the Data Science Research team as a player-coach by building models, pipelines, or prototypes and reviewing the contributions of others
Encourage risk taking and innovation while keeping an eye towards business value
Influence broader organizational and technological change to facilitate easier adoption and integration of data science initiatives
Lead the Data Scientist Community of Practice bringing together practitioners across the team to drive improvements to current practices and collaborate
Consult across product teams on DS/ML architecture, patterns and best practices
Bring in outside viewpoints on how best to do telematics data science via scientific literature, conferences, speakers, and contacts across industries
Contribute to the broader data science community via technical blogs, white papers and speaking events. Help shape Arity’s approach to creating a strong external presence
Help support our culture of intellectual honesty and openness, passion for what we do, hard work, and personal growth.
Qualifications
Deep subject matter expertise in data science gained from academic studies as well as significant experience as a top echelon data scientist or researcher at multiple companies
Strong technical capability to build models, pipelines, prototypes, visualizations and analyses using standard data science tool sets, e.g. Python, R, Spark, C
Demonstrated capability of building highly complex data science prototypes to prove technical feasibility and demonstrate business value and driving prototypes into production
Broad knowledge of the landscape of statistical, and machine learning techniques (both traditional and deep learning) and proven ability to navigate it to find the right approach and manage trade-off’s
Strong research capabilities to synthesize the literature and other sources of new ideas, identify potential new avenues of development, and communicate their value to our business
Passion for technical mentorship across the larger team, and ability to manage a few highly self-sufficient technical contributors
Solid communication skills to drive adoption of your innovations and better understand the company and its strategy
Knowledge of telematics, insurance, geospatial, data science on the edge, or other domains specifically relevant to our work is a big plus, but not required
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
The salary range for this level position is $134,800 - $202,000. The salary offered is commensurate with experience.
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Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment
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Senior Data Scientist Wind Resilience | One Concern |
About One Concern
One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.
The Role
One Concern is growing rapidly, and we are looking for a passionate, mission-driven Senior Data Scientist, Wind Resilience to join our team. Help us develop a global-scale resilience prediction model against natural disasters, focused on wind resiliency. Apply technology and knowledge to enhance the resilience of the business, community, and people.
What You'll Do
Build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters
Build and improve existing resilience prediction models
Work with and support domain experts and data scientists in different hazard products
Demonstrate up-to-date modeling skills (ML/statistical) and apply this to the development, execution, and improvement of action plans
Assess the potential usefulness and validity of new approaches and data sources.
Identify key problems in prediction models and propose innovative solutions.
Formulate your own problems as the problem might not always be defined for you
Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights
Qualifications and Experience
Ph. D. or MS in structural engineering, civil engineering, mechanical engineering, or related field.
2+ year of industry experience in risk modeling/assessment
Strong background in statistics, probability theory, machine learning, and quantitative analytics (coursework or experiences)
Domain knowledge of wind resilience modeling
Experience in wind vulnerability model developments (machine-learning models or statistical models)
Hands-on experience in performing data analytics for a large set of data
Ability to work independently as well as in a team environment
Proficient in Python
Nice to Haves
Experience in infrastructure vulnerability assessment
Experience in the assessment of climate risks
Experience in community resilience modeling
Experience in large scale simulations
Experience in catastrophe risk modeling
Strong publication record
Compensation will be competitive with the market for this position and will include equity consideration. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Principal Machine Learning Scientist Search Personalization | Fanatics |
Fanatics is a leading global digital sports platform, complete with offerings that excite fans and maximize the reach and presence for partners across the entire sports ecosystem. Come help us build a company the world has never seen before! We are first and foremost a technology company. We build innovative fan experiences through highly analytical, forward thinking, and open-minded collaboration. We are passionate about evaluating and finding the right tech for the jobs at hand, and we get excited about building solutions for modern challenges.
At Fanatics, we are passionate about leveraging data to drive growth and operational efficiencies. We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans!
Fanatics Inc. is looking for highly motivated individuals to lead our Data Science initiatives. You will lead a small team of scientists and collaborate closely with engineering teams, PMs, cross-functional business units to address challenging problems using techniques from applied statistics, machine learning and/or data mining fields.
What You'll Be Doing:
•Build, deploy, and maintain predictive models in one or more of the following areas:
•Typeahead, Query Understanding and Search Ranking, Learning-to-Rank
•Personalized Product Ranking and other personalization
•Product Recommendations Systems
•Be a Thought-leader and a Visionary with excellent technical abilities, strong leadership skills, communication skills, and adaptability to new, cutting-edge research in the field of AI and Machine Learning
•Provides mentorship/leads a small team of excellent scientists. Coach and guide the work of others in small groups of four to six data scientists to deliver complex models, analytical projects and solve business problems, and act as a point of contact and thought leader for the team
•Handle multiple projects simultaneously and independently with a lot of freedom and accountability for success
•Collaborate cross-functionally with diverse teams (e.g., marketing operations, technology, merchandising, procurement, apparel design/production) to understand business objectives and design and implement data-driven solutions
•Effectively communicate analytical solutions to non-technical stakeholders and senior leadership
What We're Looking For:
•Any prior work in information retrieval, knowledge graphs, recommendations, and personalization in an e-commerce setting is highly desirable.
•Experience in Real-time streaming, Active Learning, Reinforcement Learning, Deep Neural Networks, Graph-based Learning would be really desirable
•Minimum 10 years' relevant experience in the industry (excluding internships/co-op/academic projects) in developing multiple machine learning and statistical models and projects for real-world, business problems in productions.
•Strong algorithmic thinking and passion for empirical research to answer hard questions.
•Ability to communicate complex quantitative analysis, algorithmic approaches, and findings in a clear, precise, and actionable manner.
•A BS/MS/Ph.D. degree in Statistics, Applied Math, Operational Research, Computer Science or related field is desirable
•Highly effective in leading and working on multiple projects and delivering results on time effectively. Exceptional skills in project management (planning, resource allocation, and execution) and attention to detail. Exceptional leadership owning the outcome and building work relationships in cross-function projects.
Things We Care About
· Your career growth, your ideas, your work-life balance, and your well-being.
· Diversity and Inclusion
· Our Company Culture and Values
· Providing outstanding Company Perks and Benefits
Company Overview
Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.
The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.
As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.
At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support. We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.
www.fanaticsinc.com
Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address. For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.
NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.
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Senior Data Scientist | Fanatics |
Fanatics is a leading global digital sports platform, complete with offerings that excite fans and maximize the reach and presence for partners across the entire sports ecosystem. Come help us build a company the world has never seen before! We are first and foremost a technology company. We build innovative fan experiences through highly analytical, forward thinking, and open-minded collaboration. We are passionate about evaluating and finding the right tech for the jobs at hand, and we get excited about building solutions for modern challenges.
At Fanatics, we are passionate about leveraging data to drive growth and operational efficiencies. We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans!
Fanatics is looking for highly motivated individuals to join our Data Science and Engineering team. You will collaborate closely with engineering, PMs, cross functional business units to address challenging problems using techniques from applied statistics, machine learning and/or data mining fields.
What You'll Be Doing
Build, deploy, and maintain predictive models in one or more of the following areas:
1. Search, Product Ranking, Learning-to-Rank, Recommendations Systems, NLP
2. CRM/Email and eMarketing optimization
3. Price and promotion optimization
Leads with excellent technical abilities, leadership, strong communication skills, and adaptability to new, cutting-edge research in the field of AI and Machine Learning
Leads the work of others in small groups of four to six data scientists to deliver complex models, analytical projects and solve business problems, and act as a mentor and thought leader for the team
Dive into complex data sets to analyze trends and identify opportunities for improvement.
Support business stakeholders by providing ad-hoc analysis to help drive decision-making.
Collaborate cross-functionally with diverse teams (e.g. marketing operations, technology, merchandising, procurement, apparel design/production) to understand business objectives and design and implement data-driven solutions
Effectively communicate analytical solutions to non-technical stakeholders and senior leadership
What We're Looking For
Minimum 5 years' relevance experience in the industry (excluding internships/co-op/academic projects)
Experience developing multiple machine learning and statistical models and projects for real-world, business problems in productions
Strong algorithmic thinking and passion for empirical research to answer hard questions.
Ability to communicate complex quantitative analysis, analytic approaches and findings in a clear, precise, and actionable manner.
Designing and evaluating A|B experiments and monitoring key product metrics, understanding root causes of changes in metrics.
Working knowledge of big data processing technologies such as Hadoop, Hive, Pig and Spark.
Ability to use SQL to perform data analysis.
Highly effective in leading and working on multiple projects and delivering results on time effectively. Exceptional skills around project management (planning, resource allocation and execution) and attention to details. Exceptional leadership owning outcome and building work relationship cross function areas.
Passionate in learning about new eCommerce business and new data science technology to drive business impact. Demonstrated experience with online-marketing industry.
Things We Care About
· Your career growth, your ideas, your work-life balance, and your well-being.
· Diversity and Inclusion
· Our Company Culture and Values
· Providing outstanding Company Perks and Benefits
Company Overview
Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.
The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.
As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.
At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support. We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.
www.fanaticsinc.com
Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address. For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.
NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.
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Principal Data Scientist | Fanatics |
Fanatics is a leading global digital sports platform, complete with offerings that excite fans and maximize the reach and presence for partners across the entire sports ecosystem. Come help us build a company the world has never seen before! We are first and foremost a technology company. We build innovative fan experiences through highly analytical, forward thinking, and open-minded collaboration. We are passionate about evaluating and finding the right tech for the jobs at hand, and we get excited about building solutions for modern challenges.
At Fanatics, we are passionate about leveraging data to drive growth and operational efficiencies. We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans!
Fanatics is looking for highly motivated individuals to join our Data Science and Engineering team. You will collaborate closely with engineering, PMs, cross functional business units to address challenging problems using techniques from applied statistics, machine learning and/or data mining fields.
What You'll Be Doing
Build, deploy, and maintain predictive models in one or more of the following areas:
1. Search, Product Ranking, Learning-to-Rank, Recommendations Systems, NLP
2. CRM/Email and eMarketing optimization
3. Price and promotion optimization
Leads with excellent technical abilities, leadership, strong communication skills, and adaptability to new, cutting-edge research in the field of AI and Machine Learning
Leads the work of others in small groups of four to six data scientists to deliver complex models, analytical projects and solve business problems, and act as a mentor and thought leader for the team
Dive into complex data sets to analyze trends and identify opportunities for improvement.
Support business stakeholders by providing ad-hoc analysis to help drive decision-making.
Collaborate cross-functionally with diverse teams (e.g. marketing operations, technology, merchandising, procurement, apparel design/production) to understand business objectives and design and implement data-driven solutions
Effectively communicate analytical solutions to non-technical stakeholders and senior leadership
What We're Looking For
Minimum 7 years' relevance experience in the industry (excluding internships/co-op/academic projects)
Experience developing multiple machine learning and statistical models and projects for real-world, business problems in productions
Strong algorithmic thinking and passion for empirical research to answer hard questions.
Ability to communicate complex quantitative analysis, analytic approaches and findings in a clear, precise, and actionable manner.
Designing and evaluating A|B experiments and monitoring key product metrics, understanding root causes of changes in metrics.
Working knowledge of big data processing technologies such as Hadoop, Hive, Pig and Spark.
Ability to use SQL to perform data analysis.
Highly effective in leading and working on multiple projects and delivering results on time effectively. Exceptional skills around project management (planning, resource allocation and execution) and attention to details. Exceptional leadership owning outcome and building work relationship cross function areas.
Passionate in learning about new eCommerce business and new data science technology to drive business impact. Demonstrated experience with online-marketing industry.
Things We Care About
· Your career growth, your ideas, your work-life balance, and your well-being.
· Diversity and Inclusion
· Our Company Culture and Values
· Providing outstanding Company Perks and Benefits
Company Overview
Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.
The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.
As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.
At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support. We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.
www.fanaticsinc.com
Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address. For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.
NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.
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Senior Data Scientist Customer Analytics | Spring Health |
Our mission: to eliminate every barrier to mental 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 join our Customer Analytics team. This is a new team driving the analytics and data product deliverables that enable our customers to understand the impact Spring Health is creating for their organization.
What you’ll be doing:
Be part of a team of innovative data scientists building the analytics story that demonstrates Spring Health's value to customers
Rapidly iterate with customers and our internal Sales and Customer Success teams to materialize that story in a scalable data product
Drive the technical roadmap for how these data products are built and deployed
Analyze data across all aspects of the member mental health journey to show our customers their return on investment and provide them with actionable insights on how to further improve member wellbeing
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
You have a degree in a STEM-related field and at least 5 years of commercial experience in a data science role
You are fluent in R or Python, have experience querying data with SQL, and are comfortable using Git
You have operated in production environments; bonus points for hands-on experience with CI/CD and build automation platforms
Bonus points for experience with API design and development
You are humble, highly motivated, and thrive in fast-paced environments
You are energized by mentoring others and enjoy defining processes that help to scale your team
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
#LI-JA1
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Data Scientist | Koho |
About KOHO
KOHO is a quickly scaling FinTech company backed by leading investors and advisors from around the world. We started KOHO because we believe in doing two things:
Democratizing access to the best financial products and giving everyone a great financial foundation.
Since our journey began 6 years ago, we’ve raised more than $340M, grown the KOHO Collective to over 250 employees, and created accounts for more than 600,000 Canadians.
About the Role
We’re building a world-class financial product and we need someone to help take our data operations to the next level. Our team is growing fast, and we’re looking for a Data Scientist to join us. You understand the data-driven decision making needs of a high-growth organization and are focused on concrete outcomes and KPIs. You look for the highest leverage solution to the most important problems, through either pragmatic analysis, a predictive model, or unsupervised learning methods.
Please Note: This is a remote position and is available to those who are legally entitled to work in Canada.
What You'll Do
You will design and develop statistical and data science models which will be used to improve the financial lives of many Canadians.
You will assist with model deployment and monitoring, as well as re-training or updating when necessary
You will coordinate and maintain communication with business stakeholders on data science-related projects
You will create dashboards or conduct ad-hoc analysis to answer pertinent or urgent data-related questions
You will document results, insights and methodology, as well as contribute to internal knowledge sharing within the Data team through talks and presentations.
Who You Are
You have 3+ years of experience working with data and engineering teams
You have expert knowledge of Python and SQL
You are passionate about applying data science in financial services, with ideas on how and where to improve customer’s financial lives
You have experience developing models, deploying them in a production environment, and integrating them into SaaS infrastructure
You have experience with cloud-based platforms such as AWS or GCP
You have strong communication skills, both written and oral
Joining the (lovely!) KOHO Team
We invest time and resources into making sure KOHO is as good as the people we hire. Here are some of the reasons we attract the best people:
• Balance Your Life - Generous PTO, generous vacation, and a lifestyle spending account
• Work Anywhere - Permanently remote and $1,000 to set up your home office
• Level Up - Access to an in-house certified performance coach
• Reach Your Goals - Salary assessments twice a year, annual training allowance
• The KOHO Culture - We have won 6 "Great Place to Work ®" awards since 2019
The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact [email protected] and the People and Culture team will be happy to help.
#LI-Remote #LI-DP1
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Data Scientist | Mynd |
About Mynd:
Mynd is a tech-enabled real estate company serving an $85B+ property management and real estate investment market. In the past few years, financial services disruptors like E-Trade, Schwab, and Robinhood have unlocked access to the stock market, minting a new generation of self-service investors. Yet real estate remains the most powerful tool for building generational wealth.
At Mynd, we’re on a mission to create happy homes and sustainable investments by making single-family residential real estate as accessible and effortless as other types of investments. Investing in real estate can be intimidating, especially for first-time buyers. Moreover, many potential investors don’t want to invest in real estate in their geographic area or have been priced out of competitive big city housing markets. With operations in 25 markets across the US and real-time insights via our platform, we remove the time, communication, and geographic barriers traditionally associated with real estate. Investors can now find, purchase, rent, manage, and sell single-family rental properties 100% remotely.
Mynd is Best Places to Work certified, a Built In SF Best Places to Work 2022 winner, and was named the #1 fastest-growing East Bay company by the San Francisco Business Times in 2021. We’ve attracted talent from Starwood Waypoint Homes, McKinsey, BCG, Compass, Better, One Medical, Zillow, Upwork, WeWork, and Facebook. We’re backed by top VCs, including Lightspeed, Canaan, Jackson Square, and QED, and just announced a $5 billion deal with Invesco Real Estate that will make us the largest buyer of single-family rental homes in the country. Join us!
About the role:
As a data scientist at Mynd, you will be part of a high-performing team building predictive models for a full-stack real estate business. You will leverage machine learning and data engineering tools, and apply operations research and statistical methods to solve complex challenges like vacancy rates estimation, rent predictions, price valuations, customer churn, routing problems etc. that have tangible impact on the company’s growth and bottom line.
This high visibility role offers the opportunity to collaborate closely with cross-functional business partners and present solutions to broad audiences as you drive strategic business decision making and help build the company’s infrastructure and tech stack.
Responsibilities
Proactively conduct hypothesis-driven deep dives, extracting and analyzing datasets
Reasoning from first principles, apply a variety of statistical and mathematical modeling techniques to research and understand patterns
Build robust models that predict metrics of interest with their corresponding accuracy
Collaborate with cross functional stakeholders
Design and analyze A/B experiments and other testing methods
Effectively communicate results to diverse audiences
Work with engineers to ensure data accuracy and best practices
Qualifications
Masters/Ph.D. degree in a quantitative field (mathematics, statistics, finance, physics, etc.)
2-4 years of experience involving analytical work and complex problem solving
Proficiency in a scripting language (Python) and a database querying language (SQL)
Proven ability to succeed in both collaborative and independent work environments.
Strong intellectual curiosity and critical-thinking skills
Solid written and verbal communication skills
Being authorized to work in the U.S. is a precondition of employment and we are unable to sponsor H1-B Visas at this time.
Any offer of employment is conditioned upon the successful completion of a background investigation.
Covid-19:
Mynd is closely following the 2019 Novel Coronavirus Disease (COVID-19) and implementing processes that promote the safety of our employees, candidates, owners, residents and communities. The health and safety of our employees and contractors around the world continues to be our top priority as we face the challenges associated with COVID-19. Leaders across Mynd meet regularly to consider the evolving situation and are doing all we can to keep our teams healthy.
At Mynd, we offer a robust, competitive & unique benefits package:
Unlimited time off
Paid Parental Leave
Cash to purchase your own investment property through our “Project Investor Myndset” program
401k + Match
Wellness, home office, and cell phone subsidies
Volunteer time off
Robust health, dental, vision insurance, and more
Sabbatical program
At Mynd, we encourage all of our team members to:
Be Myndful
Always Be Entrepreneurial
Earn Trust
Play Team First
Be an ‘A’ Player
Think Like An Investor
As part of our dedication to diversity, Mynd is an Equal Opportunity Employer. Individuals seeking employment at Mynd are considered without regard to race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status, or any other legally protected category.
#LI-REMOTE
#LI-LM1
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Data Scientist Advisor Dataworks | Fedex |
Company: FedEx ServicesJob Title: Data Scientist Advisor - Dataworks (Remote)Job Requisition Number: RC507298Category: Decision Science & AnalyticsPay Type: ExemptLocations:RemoteUnited States
Colorado Residents Only – Compensation: Monthly Salary $8130.79 - $13480.12The estimate displayed represents the typical salary range or starting rate of candidates hired in Colorado. Factors that may be used to determine your actual salary may include your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role. This information is provided to applicants in accordance to the Colorado Equal Pay for Equal Work Act.
Summary:Takes ownership and responsibility over major data science initiatives. Advances Dataworks’ broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in Dataworks projects, platforms and products. Simultaneously works to keep Dataworks on the bleeding edge by understanding and implementing the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads modeling and development to support operations initiatives, strategic programs and new products/solutions, through the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical modeling/tool development. Develops solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems. Mentors less senior team members to drive results. Leads and works with cross-functional teams.The Data Scientist Advisor plays a pivotal role, focused on creating and driving data science innovation within Dataworks, helping define and build the Dataworks organization, and enabling the delivery of key business initiatives. S/he acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. The Data Scientist Advisor will contribute to the creation and adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will work with large data sets and solve difficult analytical problems, applying advanced methods. S/he will lead the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations. Day-to-day, s/he will be deeply involved in code reviews and large-scale deployments. S/he will also provide mentorship and guidance to junior data scientists to support the continued training and up-skilling of the Data Science team.Essential Job Duties & Responsibilities:
Understanding in depth both the business and technical problems Dataworks aims to solveExploring data and crafting models to answer core business problems that may not have a common blueprintLeading the invention of new approaches and algorithms for tackling data intensive problemsPioneering R&D efforts to rapidly understand and assimilate state of the art methodsScaling up from “laptop-scale” to “cluster scale” problems by leading efforts to standardize and industrialize solutionsDelivering tangible value very rapidly, collaborating with diverse teams of varying disciplinesInteracting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvementCodifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Skill/Knowledge Considered a Plus:
Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational scienceA compelling track record of Data Science / Engineer expertise, designing and deploying large scale technical solutions, which deliver tangible, ongoing value
Direct experience having built and deployed robust, complex production systems through Cloud technologies that implement modern, data scientific methods at scaleAbility to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacleDemonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver valueAn ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impactAbility to work with distributed teams on code-based deliverables using version control
Solid theoretical grounding in the mathematical core of the major ideas in data scienceExpert level understanding of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subjectDeep fluency in the mathematical ‘primitives’ and generalizations of data science – e.g., expertise in Linear Algebra, and Vector CalculusUse of agile and devops practices for project and software management including CI/CD; process improvement and quality management experience (e.g., Lean, Six Sigma, QDM expert)Demonstrated expertise in working with some of the following common languages and tools:SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core ML frameworksPython, Scala, R, C++, Java and other modern programming languagesMLFlow, Databricks, Spark, Kafka, Hive, Hadoop and other data tools and frameworksCPLEX, Gurobi and other similar optimization modeling packagesCPLEX, Gurobi and other similar optimization modeling packages
Minimum Qualifications:Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Six (6) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis and presentation. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences.
Domicile / Relocation Information:This position can be domiciled anywhere in the United States.The ability to work remotely within the United States may be available based on business need.Relocation assistance may be available based on business need.
Notice: Sponsorship for this position is not available.
Application Criteria / Deadline:Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire.
Employee Benefits: Medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, and additional paid time off; geographic pay ranges; 401K with Company match and incentive bonus potential; sales incentive compensation for selling roles.
FedEx. Where now meets next.
Our vision is to be the earth's most engaged advocates of connected commerce where open borders, new markets and fair, sustainable practices are the norm for the billions of personal supply chains being managed every day in our always on, mobile-first world. We stand for ease, access and opportunity. We lead purposeful innovation, champion entrepreneurs, advocate free trade and empower humans and their place in the era of autonomy and AI. We fight for our customers, a more sustainable planet and an ethical playing field.
FedEx inspires its more than 570,000 team members to remain focused on safety, the highest ethical and professional standards and the needs of their customers and communities. FedEx is committed to connecting people and possibilities around the world responsibly and resourcefully, with a goal to achieve carbon-neutral operations by 2040.
FedEx has been recognized on many different lists both for business success and for being a great employer:
Fortune "World’s Most Admired Companies" – 2021Forbes "Best Employers for Diversity" - 2021LinkedIn "Top 100 Companies" - 2021TIME "100 Most Influential Companies" - 2021World HRD Congress "Best Gender Equality Workplace" – 2021InsiderPro ComputerWorld "Best Places to Work for IT" – 2021
Application Instructions/Deadline:
Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by close of business (5:00pm CST) on the date below. If the date below is blank, there is no specified closing date for this requisition.
FedEx Services is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status.
FedEx Services does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, FedEx Services is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact [email protected].
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Director Pricing Data Science | Divvy Homes |
Why Divvy?
At Divvy Homes, we're building an on-ramp to homeownership – one that's more flexible, more affordable, and an all-around better fit for today’s American family – and it’s working.
We’re searching for a Director to lead Pricing Data Science at our growing company. Every day, Divvy must determine offer prices, rental prices, and buyback prices for thousands of homes. We are seeking an experienced data science leader to guide the team that builds and improves the models powering these decisions.
In this role you will be responsible for setting and executing the overall strategic vision for pricing, finding new sources of data and modeling approaches to improve performance, communicating regularly with executives and stakeholders, hiring and mentoring IC data scientists, and sometimes contributing to IC work yourself. We’re looking for people who feel comfortable diving into difficult problems, getting their hands dirty, and getting results. You will report directly to our VP of Data Science & Analytics.
Skills & Experience
6+ years of experience working in data science, with 2+ years in management
Highly skilled in R, Python, or both
Previous experience working on an Automated Valuation Model (AVM) is preferred
Experience growing a team
Excellent communication for both technical and non-technical audiences
Perks
Competitive salary + equity
Full benefits (medical, dental, vision, 401k, commuter)
Position can be 100% remote, or on-site in our SF or Denver offices
Diverse, smart, and kind co-workers
Commitment to Diversity & Inclusion
Divvy Homes is committed to building a diverse and inclusive team. We enthusiastically encourage individuals from a variety of lived experiences to reach out.
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Director Customer Data Science | Divvy Homes |
Why Divvy?
At Divvy Homes, we're building an on-ramp to homeownership – one that's more flexible, more affordable, and an all-around better fit for today’s American family – and it’s working.
We’re searching for a Director to lead Customer Data Science at our growing company. Every day, for thousands of customer applications, Divvy must determine which of our products is most appropriate, underwrite potential risks, and set appropriate home shopping budgets. For existing customers, we must better understand drivers of success so that we can pull levers that help customers build equity toward homeownership. We are seeking an experienced data science leader to guide the team that owns the data science models powering these decisions.
In this role you will be responsible for setting and executing the overall strategic vision for customer data science, understanding tradeoffs between information and friction in the underwriting process, finding new sources of data and modeling approaches to improve performance, communicating regularly with executives and stakeholders, hiring and mentoring IC data scientists, and sometimes contributing to IC work yourself. We’re looking for people who feel comfortable diving into difficult problems, getting their hands dirty, and getting results. You will report directly to our VP of Data Science & Analytics.
Skills & Experience
6+ years of experience working in data science, with 2+ years in management
Highly skilled in R, Python, or both
Previous experience working in underwriting or consumer credit is preferred
Experience growing a team
Excellent communication for both technical and non-technical audiences
Perks
Competitive salary + equity
Full benefits (medical, dental, vision, 401k, commuter)
Position can be 100% remote, or on-site in our SF or Denver offices
Diverse, smart, and kind co-workers
Commitment to Diversity & Inclusion
Divvy Homes is committed to building a diverse and inclusive team. We enthusiastically encourage individuals from a variety of lived experiences to reach out.
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Machine Learning Scientist | Overjet |
We take building our team and culture seriously, and how you do your work will be critical to the company we end up building. It’s important that we combine scientific ingenuity, engineering brilliance, and practical business judgement into the products that we bring to market.
We are looking for an individual with a winning mix of creative energy, scientific innovation, and a practical mindset that is focused on building technology that is valuable to Overjet customers.
You are joining Overjet at an interesting time as it is in the beginning stages of delivering revenue generating products to large sophisticated customers, while still being a small (sub 50 person) team where your contributions to the business will be outsized relative to larger more mature business. To be successful and happy at Overjet you will need to flourish in a fast-paced startup environment.
You will
Develop algorithms and methods for disease detection, classification, and characterization from x-rays
Rapidly build proof-of concept prototypes and show what is possible with our products
Focus on scalability and productionalization of the models
Provide input and set boundary constraints for the machine learning infrastructure needed to scale our products
Listen to the go-to-market team and ensure we are building product that fits demonstrated market needs
You are
Results oriented - you want to see your work impact the customer
Ingenuous - you can cleverly set up MVPs that work on the critical KPIs
Endlessly curious - in an earlier life you annoyed your family with one word: “Why”
An experimentalist who learns by doing - You don’t abstractly wonder what is possible; rather, you rapidly test ideas and learn and iterate from feedback mechanisms
You have experience in
Prototyping computer vision models (CNNs in particular) - you have built both low and high fidelity concepts
Productionalizing CNNs - You don’t stop at the prototype. You find it equally stimulating to mature the prototype at scale
PhD or MS in Computer Vision, Machine Learning or related technical fields
Knowledge of applied mathematics and numerical optimization
Applicants must be currently authorized to work in the United States.
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Data Scientist | Intercom |
The world’s first customer platform helping internet businesses accelerate growth☝️
Intercom is the only suite of customer messaging products that drives growth at every stage of the customer lifecycle—across acquisition, engagement, and support. Today more than 25,000 businesses use Intercom to connect with a billion people worldwide.
Join the company helping businesses grow revenue through live chat, and so much more.
What's the opportunity? 🤔
The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing? 🚀
You’ll partner with product teams to help them identify important questions, answer those questions with data and ultimately influence their product roadmap
You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
You’ll build and automate actionable models and dashboards
You’ll craft data stories and share your findings and recommendations across R&D and the broader company
What skills do I need? 📖
1-2 years experience working with data to solve problems and inform decisions
Examples of initiating and delivering actionable analyses and insights that drove tangible impact
Good communication skills (technical and non-technical) and a focus on driving impact
Strong growth mindset and sense of ownership. Innate passion and curiosity
Bonus skills & attributes 🙌
Experience with BI/Visualization tools like Tableau, Superset and Looker
Experience with data modeling and ETL pipelines
Experience working with product teams
Benefits 😍
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)
Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
MacBooks are our standard, but we’re happy to get you whatever equipment helps
you get your job done
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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Staff Principal Data Scientist | Intercom |
The world’s first customer platform helping internet businesses accelerate growth☝️
Intercom is the only suite of customer messaging products that drives growth at every stage of the customer lifecycle—across acquisition, engagement, and support. Today more than 25,000 businesses use Intercom to connect with a billion people worldwide.
Join the company helping businesses grow revenue through live chat, and so much more.
What's the opportunity? 🤔
The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Staff/Principal Data Scientists in RAD work on Intercom’s most strategic programs. This role will enable you to drive and influence projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing? 🚀
You’ll be the lead data scientist for Intercom’s most important product initiatives. You’ll build relationships and collaborate with executives and principals across product, design and engineering to shape our product strategy. You’ll drive decisions on which projects to prioritise and invest in and you’ll manage collaboration with finance, marketing and sales to determine how these projects impact Intercom’s commercial performance.
You’ll build and automate actionable models and dashboards
You’ll craft data stories, share your findings and advocate for your recommendations across the company
You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
You’ll propose and lead projects to improve the tools and infrastructure that data scientists use to do their work.
You’ll be part of the RAD leadership team, where you’ll help improve how the RAD org operates
You’ll mentor and coach other data scientists and product researchers in RAD
What skills do I need? 📖
8+ years experience working with data to solve problems and drive evidence-based decisions
Demonstrated ability to influence and guide product strategy with data
Excellent communication skills (technical and non-technical) and a focus on driving impact
Experience mentoring other data scientists
Strong growth mindset and sense of ownership. Innate passion and curiosity
Excellent SQL skills
Strong proficiency with a scientific computing language (R or Python)
Proficiency with BI/Visualization tools like Tableau, Superset or Looker
Bonus skills & attributes 🙌
Experience working on a B2B SaaS product
Experience working with Go To Market teams (Marketing, Sales, Finance)
Experience with data modeling and ETL pipelines
Experience partnering with Product Research teams
Benefits 😍
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)
Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
MacBooks are our standard, but we’re happy to get you whatever equipment helps
you get your job done
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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Data Scientist | Planet |
Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is headquartered in San Francisco, California, Earth.
About the Role:
Planet is looking for an entrepreneurial data scientist. This role reports to the Head of Analytics and provides quantitative insights to support Planet’s product and technology teams (and beyond). Data science at Planet is not just about making it easy to understand what’s already happening; it’s about strategically understanding opportunities and influencing our roadmap through quantitative analysis of our products, customers, and market.
Impact You’ll Own:
Be the champion for the customer, from identifying their challenges and opportunities in data, to highlighting potential solutions.
Collaborate with your team and cross-functional teams across product, engineering, design, and more to understand and optimize Planet’s suite of products
Catalyze innovation by identifying and analyzing opportunities for new products and strategies
What You Bring:
3+ years of experience in data science supporting commercial or government software products
Strong skills in modeling, analysis, and/or hypothesis testing using statistical techniques and data visualization
Experience with SQL, scripting languages like Python, and business intelligence systems
A passion for Planet’s mission to use space to help life on Earth
What Makes You Stand Out:
Experience with world-class data science teams working in fast-paced, customer-centric cultures
A growth mindset and a desire to learn quickly
Ability to communicate effectively to technical and non-technical audiences.
Experience with cross-timezone team coordination
Proven problem solving skills
Benefits While Working at Planet:
Comprehensive Health Plan
Wellness program and onsite massages in specific offices
Flexible Time Off
Recognition Programs
Commuter Benefits
Learning and Tuition Reimbursement
Parental Leave
Offsites and Happy Hours
Volunteering Benefits
Some Press About Us:
Our CEO, Will Marshall featured on TED and featured in a Planet Blog
“Planet: Bringing Space Back Down to Earth”
Tiny, privately owned satellites are changing how we view the Earth features in NBC News
“Planet And Rocket Lab Create Mission Patch To Honor Women In Aerospace” —Planet Blog
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the interview process, please call Planet's front office at 669-214-9404 or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Compensation (only applicable for Colorado applicants):
The base pay range targeted for this position in Colorado is: $138,600 - $211,500. This role is eligible for equity.
The actual offer, including the compensation package, is determined based on multiple factors, including experience, location, and other business considerations.
Planet is registered as an employer in many, but not all, states. If you are not able to work from a state where Planet is registered, you will not be eligible for employment.
#LI-REMOTE
#LI-OT1
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Data Scientist Ii | Dwolla |
👋 Hi, I’m John - Data Team Manager here at Dwolla. I’m looking for an analytical, empathetic data scientist who loves diving deep into data preparation and analytics while working in a fast-paced, collaborative, diverse Engineering team.
Here is what you can expect to work on in this critical role:
You’ll be responsible for the collection, cataloging, analysis and interpretation of data for the business. This includes optimizing the achievement of business objectives through developing and presenting rigorous analyses of information.
You’ll also develop approaches to generate and statistically validate hypotheses about critical metrics and indicators; design and implement algorithms to generate reporting and alerting (potentially client-facing or leveraging machine learning), and collaborate with our data analysts & engineers, Salesforce administrators, web developers, and Product engineers.
How do our Data Scientists spend their time?
You can expect to spend about 80% of your time on data preparation and clean-up (roughly 20% data collection, 50% cleaning and organizing data and 10% data catalog implementation and maintenance). The remaining 20% of your time will be spent with data modeling, mining and analysis (building training sets, mining data patterns and refining algorithms).
Our team values collaboration, a passion for learning and a desire to become a master of your craft. We thrive in asynchronous communication. You will have a lot of support from leadership when you communicate proactively with detailed information about any roadblocks you may encounter.
Qualities of Data Scientists Who Thrive in This Role
🔥 You are a driven, self-starter type of person who isn’t afraid to dig for answers, stays up-to-date on industry trends and is always looking for ways to enhance your knowledge (yes, industry-related podcasts count! 🎧) .
🖥️ Experience with Python, Pandas, sklearn, Jupyter, SQL and AWS would be amazing!
🏆 Although the nature of this work is fairly individualist, the ability to collaborate with internal stakeholders is vital (and we really love it when team members are active participants in our meetings).
What’s expected of a Data Scientist II at Dwolla?
Collaborate with stakeholders to identify and pursue opportunities to utilize data to optimize business processes and systems.
Develop reliable and defensible analysis methodologies, models, and algorithms.
Develop forecasts to optimize business performance, augment revenue generation, reduce risk, and improve the customer experience.
Design and implement data visualizations for use by business stakeholders.
Ensure appropriate integrity, security, and privacy of Dwolla data and resulting analytic products.
Collaborate with Data Engineers to build pipelines supporting the overall data strategy.
Collaborate with Data Analysts to incorporate statistical principles and tests into reports and dashboards.
Support initiatives to incorporate data utilization into Dwolla product offerings.
Implement and maintain Dwolla’s data catalog
What are the preferred qualifications for this position?
Experience developing analytical approaches to find defensible and reliable answers to complex questions.
Experience creating visualizations and reports to present complex answers in a stakeholder-friendly manner.
Experience with Python and common data science-related libraries such as Pandas, sklearn, Jupyter, and a visualization library such as Matplotlib. Experience with common Machine Learning algorithms and Python libraries is a plus.
Experience with relational databases and SQL queries, performing complex queries across multiple tables to extract information.
Experience with AWS data-related services (such as RDS, Aurora, Glue, S3, Athena, RedShift, SageMaker, and Quicksight) is a plus.
Experience developing tools and methodologies for automating data collection & cataloging.
Detailed knowledge of statistical concepts (regressions, statistical tests, distributions, etc) and application of the scientific method.
Knowledge of software engineering best practices as they apply to data extraction, conditioning, and analysis.
Strong analytical thinking and troubleshooting skills.
Strong written and verbal communication skills.
Typically requires 2+ years of experience in a closely-related role. Education and certifications are valued and may contribute towards this criteria as applicable.
When you join the Dwolla team, you get these great perks:
⭐ Remote-first work environment (our employees can work from anywhere in the US or from our Des Moines office)
❗❗**Please note: While we support a remote-first work environment, we are currently only able to offer employment to candidates who live in the United States**
⭐ Remote-first home office stipend (and paid parking for our office-loving employees)
⭐ Stock options
⭐ 401k (with 4% company match)
⭐ Unlimited Paid Time Off (with a mandatory PTO minimum of 5 days every 4 months 😎)
⭐ 12 weeks paid parental leave
⭐ Medical, dental and vision insurance (Health plan options include a free Peloton app & Apple Fitness membership)
⭐ Long-term disability insurance
⭐ Life insurance
⭐ Flexible Spending Account
⭐ Dedication to supporting mental health via paid subscription to Headspace
⭐ Casual dress
Some Fine Print
At Dwolla, we value diversity and hold the core belief that the best teams are built by the inclusion of diverse ideas, experiences, and people.
If you require a reasonable accommodation or assistance for any part of the interview and employment process, please contact Katie Spellman (Talent Recruiter) at [email protected] and let us know the nature of your request.
If offered this position, you will be asked to complete an employment and credit verification authorization form (which allows us to run a background check) as part of our employment process. By submitting this application, you agree that Dwolla may share applicant information with a third party for communication services.
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Data Scientist | Lacework |
Data Scientist
Location: Seattle & Bay Area
Lacework: Lacework is the data-driven security platform for the cloud. The Lacework Cloud Security Platform, powered by Polygraph, automates cloud security at scale so our customers can innovate with speed and safety. Polygraph is the only security solution that can collect, analyze and accurately correlate data across an organization’s AWS, Azure, GCP, and Kubernetes environments, and narrow it down to the handful of security events that matter. Customers all over the globe depend on Lacework to drive revenue, bring products to market faster and safer and consolidate point security solutions into a single platform. Founded in 2015 and headquartered in San Jose, Calif, with offices all over the world, Lacework has raised $600M in funding and is backed by leading investors like Sutter Hill Ventures, Altimeter Capital, Liberty Global Ventures and Snowflake Ventures, among others. The company is in the hyper-growth phase and is being led by an experienced team who collectively have decades of experience taking nascent companies to hyper-scale and building robust & profitable businesses.
The Role: We are looking for a Data Scientist to help bootstrap a newly formed team in the Product & Engineering org. This is a hands-on role that would play a critical role in building the team from the ground up and help shape direction and decisions that are going to directly impact the trajectory of the company. This individual would be a leader in the definition and development of the data science & data engineering ecosystem at Lacework and be an integral part of product and engineering teams to identify how data science & data engineering can be applied to scale, improve & optimize our products and engineering stack
Employ languages and tools like R, SQL, Python and others to drive efficient data exploration and modeling
Build actionable insights and models to help drive critical decisions
In partnership with engineering, product and business teams, build roadmaps & goals and execute against them while balancing speed, accuracy and precision
Actively participate in recruiting other Data Scientists and Data Engineers and mentor new members of the team
Build strong cross functional partnerships
Demonstrate good communication skills and present work to company leadership and at company-wide events
Strive to use readily available, general and scalable methodologies and tools; stay current with latest tools and techniques
Minimum Qualifications
Degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)
4+ years experience doing quantitative analysis including experience with SQL, other programming languages (e.g, Python) or statistical/mathematical software (e.g, R, SAS, MATLAB)
4+ years of experience with statistical and machine learning methods such as forecasting, time series analysis, experimentation, hypothesis testing, classification, clustering, anomaly detection or regression analysis
3+ years experience developing data pipelines and building machine learning models
Ability to deal with ambiguity, drive projects / analyses to conclusion with limited supervision and communicate analysis in a clear, concise and actionable manner
Preferred Qualifications
Advanced degree (Master’s or PhD or equivalent experience) in quantitative field
Experience with cloud platforms like Snowflake, AWS, GCP, etc.
Experience working in Cloud Security or Infrastructure Security
Experience recruiting and mentoring Data Scientists and Data Engineers
#LI-JG1
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Senior Data Scientist Payments Fraud | Lime |
Lime is the world's largest shared electric vehicle company. We are on a mission to build a future of transportation that is shared, affordable and carbon-free. Named a Time 100 Most Influential Company in 2021, Lime has powered more than 250 million electric bike and scooter rides in more than 200 cities across five continents, saving an estimated 60+ million car trips. Learn more at li.me!
Data is at the core of every decision at Lime - from designing vehicles to deploying them, enhancing the user’s experience, optimizing our supply chain or warehouse operations. Every team at Lime engages with Data Science & Analytics. Our goal is to provide data insights and models that drive better business outcomes.
We are looking for intellectually curious, highly motivated individuals to join our Data Science & Analytics team. You will partner with our Engineering, Product, and Operations teams to identify critical issues to the business, develop a deep understanding of them, and design scalable solutions. You will leverage your quantitative and modeling skills to transform signals into insights, and insights into actions. You should have strong analytical insights, excellent communication abilities, and a knack for working across teams in a fast-paced environment.
What You'll Do:
Collaborate with Product, Engineering, Operations and Finance to optimize the revenue loss due to fraud, abuse (promotions, referrals, refunds etc.) and carry out deeper analysis to optimize the payments process (fee, latency, payment service provider waterfall etc.)
Develop machine learning models and rules to detect fraud and abuse
Carry out deeper analysis, build dashboards to track key metrics
Develop instrumentation to track progress against key business objectives
Design, instrument, and analyze experiments to quantify the impact of product and operation changes and produce reliable insights that drive business efficiency
Develop production-ready code and/or partner with engineering to deploy models/rules in the production environment
Contribute to fraud and abuse related incident response
Optimize the tradeoff between fraud and abuse prevention vs good user experience
About You:
A PhD or MS in a quantitative field (e.g., Operations Research, Economics, Statistics, Sciences, Engineering)
5+ years of full-time work experience as a Data Analyst / Data Scientist at a technology or payments company
Advanced proficiency in SQL and a data manipulation language, such as R or Python
Hands-on experience with data pipelines, ETLs, and data visualization tools
Solid knowledge of statistical analysis techniques such as hypothesis testing and regression
Strong knowledge and hands-on experience on machine learning, or statistics and experimentation
Strong communication skills with a consistent record of collaborating across a wide variety of teams and disciplines in a dynamic environment
The ability to communicate results clearly to technical and non-technical audiencesPrior knowledge/experience on payments and fraud mitigation preferred
What We Offer:
Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions.
Scale with a rapidly growing organization, with significant opportunity for growth.
Play a role in the transformation of urban mobility and sustainability.
Work with a team of successful, fun and motivated people.
Competitive salary and benefits.
In accordance with Colorado State Law, if the candidate selected for this job resides in Colorado, the anticipated minimum salary will be $106,000,plus bonus and equity (when eligible), as well as benefits. Exact salary will ultimately depend on the candidate’s qualifications. In addition to base salary, this role will be eligible for a variable bonus based on a combination of management discretion and employee performance.
Lime is an Equal Opportunity Employer, but that’s only the start. We strive to build a workforce composed of individuals with different backgrounds, abilities, identities, and mindsets—not just to do great work, but to become a better company and grow as individuals.
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Senior Data Scientist Machine Learning | Lime |
Lime is the world's largest shared electric vehicle company. We are on a mission to build a future of transportation that is shared, affordable and carbon-free. Named a Time 100 Most Influential Company in 2021, Lime has powered more than 250 million electric bike and scooter rides in more than 200 cities across five continents, saving an estimated 60+ million car trips. Learn more at li.me!
Data is at the core of every decision at Lime - from designing vehicles, to deploying them, enhancing the user’s experience, optimizing our supply chain or warehouse operations. Every team at Lime engages with Data Science & Analytics. Our goal is to provide data insights and models that drive better business outcomes.
We are looking for intellectually curious, highly motivated individuals to join our Data Science & Analytics team. You will partner with our Engineering, Product, and Operations teams to identify critical issues to the business, develop a deep understanding of them, and design scalable solutions. You will leverage your quantitative and modeling skills to transform signals into insights, and insights into actions. You should have strong ML or optimization modeling skills, analytical insights, excellent communication abilities, and a knack for working across teams in a fast-paced environment.
This position is a US based remote position. The individual hired into this role must be comfortable supporting multiple time zones across the globe with primary support to Pacific Time.
What you'll do:
Build models using Python that help optimize business decisions. Examples include demand forecasting, routing and labor pricing.
Develop a deep understanding of a particular problem space that’s relevant to the business and propose solutions to improve it
Guide product and strategic decisions with experimentation and in-depth analyses
About you:
MS or PhD in Economics, Statistics, Applied Mathematics, or other quantitative fields
4+ years of industry experience as a Data Scientist
Hands-on Machine Learning model development experience using Python is required
Hands-on experience with SQL
Hands-on experience with data pipelines and visualization tools
Deep and practical understanding of probability and statistics, including causal inference
Solid understanding of Machine Learning algorithms - practical experience building ML models preferred
Solid understanding of optimization algorithms - practical experience around vehicle routing problem preferred
What We Offer:
Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions
Scale with a rapidly growing organization, with significant opportunity for growth
Play a role in the transformation of urban mobility and sustainability
Work with a team of successful, fun and motivated people
Competitive salary and benefits
In accordance with Colorado State Law, if the candidate selected for this job resides in Colorado, the anticipated minimum salary will be $106,000,plus bonus and equity (when eligible), as well as benefits. Exact salary will ultimately depend on the candidate’s qualifications. In addition to base salary, this role will be eligible for a variable bonus based on a combination of management discretion and employee performance.
Lime is an Equal Opportunity Employer, but that’s only the start. We strive to build a workforce composed of individuals with different backgrounds, abilities, identities, and mindsets—not just to do great work, but to become a better company and grow as individuals.
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Staff Data Scientist Metrics Intelligence Slack | Slack |
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsOur Research & Analytics team is hiring a Staff Data Scientist to join our Metrics Intelligence working group! The Metrics Intelligence working group is focused on increasing the actionable insights gained from understanding and tracking key metrics.In this role, you will implement scalable approaches to analyzing, tracking, alerting, and reporting on a broad set of strategically important product and business metrics. You will work with data scientists and business analysts (from various business groups) to understand, synthesize, and communicate evolving trends in product usage. You will work with senior leaders throughout the company to inform and influence decisions based on your understanding of metrics trends.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Conducting regular investigations into trends in broad Slack usage
Synthesizing and communicating key insights from regular investigations to a broad audience of stakeholders, including executive leadership
Implementing scalable methods for tracking and generating insights from a large and evolving portfolio of product-based KPIs
Applying various data science methods to understanding core aspects of our product, users, and business
Promoting effective usage of metrics in the internal operations of Slack’s product team
What you should have
5+ years of professional industry experience doing quantitative analysis
An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) is a plus
A proven record of informing strategic business decisions, ideally in a product organization
Experience analyzing, modeling, and forecasting trends in business metrics or other time series data
Experience communicating findings from data analysis to an executive audience
Experience with SQL and at least one general programming language (e.g. Python)
An advanced understanding of statistics and analytical best practices
For Colorado-based roles: Minimum annual salary of $150,200. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/ AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
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Senior And Staff Data Scientist Virtual Hq Slack | Slack |
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are hiring experienced data scientists for our Virtual HQ product team. This cross-functional team is building features within Slack to allow companies to be more productive while embracing a fully-remote or hybrid working model. This is the biggest opportunity to invent the future of work since we first launched Slack!Our Virtual HQ team recently launched Huddles, a way to recreate quick, informal conversations that would have happened in the office in Slack. We are also building new video and audio-based messaging features that are seeking to replace formerly synchronous, in-person processes and meetings.In this role, you will seek to understand how these features are being adopted and how they are shifting the nature of collaboration within Slack. You will help to establish the foundational analytics infrastructure for Virtual HQ. You will be a strong partner to PMs, Researchers, and Engineers as you work collectively to refine Slack’s strategy in this new area.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply various data science methods to understand the most meaningful aspects of our product, users, and business
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Organize disparate facts and findings into narratives that inform product strategy
Define and drive alignment around success metrics for new product areas
What you should have
2+ years of professional industry experience doing quantitative analysis. An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) is a plus
A proven record of using data to drive product teams to achieve ambitious goals
Expert in at least one programming language for data analysis (e.g. Python, R)
Expert in designing and testing experiments
Experience with statistical and machine learning methods to build descriptive and predictive models
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc)
Experience working on video and audio-based products is a plus
For Colorado-based roles: Minimum annual salary of $128,600. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
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Data Scientist | Higg |
Location Flexible (US Central Time Preferred) | Fully Remote Role
Who We AreHigg is the sustainability insights platform for consumer goods industries, delivering software and services for measuring, managing, and sharing supply chain performance data. From materials to products, from facilities to stores, across energy, waste, water, and working conditions, Higg unlocks a complete view of a business’s social and environmental impact. Spun out of the Sustainable Apparel Coalition in 2019 as a public-benefit technology company, Higg is the exclusive licensee of the Higg Index, a suite of tools for the standardized measurement of supply chain sustainability.We’re motivated by the opportunity to help customers improve every aspect of the trillion-dollar industries that touch everyone’s lives. We want business to change for good, but in a way that adds up to industry-scale change, because no business can change the world alone and doing just one thing for a positive headline won't change our world fast enough. Today, Higg is trusted by global brands, retailers, and manufacturers to provide the comprehensive intelligence needed to accelerate business and industry transformation.The OpportunityWe currently have an opening for a Data Scientist to join our growing data team of analytics experts. The Data Scientist will be an analytical expert, and will gather, analyze, process, and model large sets of data. They will also work to interpret the results of their analyses and make recommendations for the improvement of our data, product offerings, and business processes. The Data Scientist must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. Passion for sustainability and/or experience with sustainability business data is a plus!Key ResponsibilitiesMine and analyze data from company databases to support optimization and improvement of product development, marketing techniques, and business strategiesWrite programs to automate analyses for internal teamsDevelop tools and processes to monitor and analyze data accuracyIdentify new ways to capture, clean, organize, and analyze dataRequired Qualifications1-3 years of experience in a data science or closely related roleAcademic training in data science, data analytics, computer science, statistics, or other closely related disciplineAdvanced proficiency in Python, R, SQL, or other statistical languagesExperience with visualization tools, such as TableauAdvanced knowledge of statistics and predictive analyticsExperience designing and automating predictive models and algorithms is a plus Working knowledge of machine learning and data modeling is a plusExperience with sustainability business data is a plusPersonal or professional interest in sustainability is a plusBenefitsEnjoy benefits including unlimited PTO, flexible working locations, benefits packaging which includes health (medical, dental, vision) and flexible spending benefits, retirement matching plan, and many other benefits.Be part of a team that includes software engineers, sustainability professionals, business leaders, marketers, designers, artists, number crunchers and more than a handful of farmers! (From backyard mushrooms to multi-acre orchards.)Surround yourself with the kindest, smartest, most enthusiastic and dedicated people you’ll ever meet, who dream big, listen well, learn from their mistakes and when things go wrong, pull together to help each other out.Individuals seeking employment at Higg are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, gender identification, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state, or local law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Senior Data Scientist | Renaissance |
Company Description
When you join Renaissance®, you join a global leader in pre-K–12 education technology.
Renaissance’s solutions help educators analyze, customize, and plan personalized learning paths for students, allowing time for what matters—creating energizing learning experiences in the classroom. Our fiercely passionate employees and educational partners have helped drive phenomenal student growth, with Renaissance solutions being used in over one-third of US schools and in more than 100 countries worldwide.
Every day, we are connected to our mission by exemplifying our values: trust each other, win together, strive for the best, own our actions, and grow and evolve.
Job Description
Our learning science team empowers school systems across the country to take data driven actions to accelerate student learning. As a member of this team, you will explore practice and assessment data to develop new insights into student learning. You'll collaborate with product managers, designers, and your teammates to take ideas from concept to reality, utilizing your full range of technical skills and a healthy dose of user empathy
In this role, you will:
Work with data scientists, data architects, and functional experts on a variety of analytics use cases involving descriptive, predictive, and prescriptive analytics Drive the creation of analytical models, reports, and visualization dashboards leveraging a wide array of data from traditional and non-traditional sources Clean and utilize data from a variety of sources including SQL, NoSQL, and Cloud (AWS) platforms Manipulate high-volume, high-dimensional data from varying sources to highlight patterns, anomalies, relationships, and trends
Partner with Product Management and Content Development teams to solve problems and identify trends and opportunities Develop models and applications which leverage existing deep learning frameworks in areas including natural language processing, computer vision, speech-to-text, and other audio signal processing methodologies Supervise and mentor junior data scientists
Qualifications
For this role, you must have:
An undergraduate degree in a quantitative field (Computer Science, Statistics, Applied Mathematics, etc.) 5-7 years of experience in predictive modeling and analytics. A postgraduate degree focused on data science or learning analytics will replace an equal amount of work history Extensive experience developing with standard machine learning (regression, clustering, classification) and deep learning (NLP) algorithms and packages in Python and deploying with a dev-ops team Experience working with SQL and NoSQL (Hive, MongoDB, and GSQL) databases Strong problem solving and communication skills
Bonus points for:
Experience in the educational technology industry or utilizing educational data Experience developing and deploying apps in the cloud (AWS)
Additional Information
All your information will be kept confidential according to EEO guidelines.
Salary Range: $106,300-$159400 This range is based on national market data and may vary by experience and location.
Benefits:
Medical, dental, vision including Health Savings Accounts401(K)Tuition & Professional Development ReimbursementParental Leave – 20 weeks total, 14 weeks paidVacation Time Off13 Holidays and 2 Volunteer DaysCommuter benefitsWellness Incentives
Renaissance is committed to maintaining a safe and healthful environment for our employees and customers. To uphold this commitment, Renaissance requires all employees to receive a full COVID-19 vaccination as a condition of employment, unless an individual has been granted an exemption as an accommodation due to a disability or for religious reasons.
Frequently cited statistics show that some women, minorities, individuals with disabilities, and protected veterans, may only apply to roles if they meet 100% of the qualifications. At Renaissance, we encourage all applications! Roles evolve over time, especially with innovation, and you may be just the person we need into the future. We hope you're open to learning new skills to grow with us. Make our team, your team!
Renaissance is an equal opportunity employer and does not discriminate with respect to any term, condition or privilege of employment based on race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, military or veteran status, marital status, or status of an individual in any group or class protected by applicable federal, state, or local law.
At Renaissance our mission is: “To accelerate learning for all children and adults of all ability levels and ethnic and social backgrounds, worldwide.” Inherent in that guiding principle is dedication to serving all identities by recognizing the importance of Diversity, Equity, and Inclusion (DEI) in our organization, our work and our products.
Renaissance also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If an accommodation is needed to participate in the job application or interview process, please contact Talent Acquisition.
#LI-HO1
#LI-Remote
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Data Scientist Simulation | Chainlink Labs |
We are looking for a Data Scientist who has experience with large-scale simulation analysis and sensitivity analysis, and has the context and insight into how the decentralized finance industry works. We want someone who strongly believes that blockchains, smart contracts and Web3 are the future.
Your Impact
Research and summarize the best practices of decentralized finance, application protocol design and community development
Actively lead and conceptualize different approaches to token economic design, incentive mechanisms, and protocol structure by understanding the latest developments
Build effective databases, network modeling, simulation systems, and synthesizing insights / learnings into comprehensive research reports for delivery to the executive team
Design, develop, and maintain internal systems, databases, and feedback loops to perform routine and repeatable Byzantine and agent-based simulations to directly inform design of protocol’s evolving monetary policy system
Translate output from simulation exercises into action, informing financial forecasts, planning, and budgeting
Requirements
Masters and/or PhD in Statistics, Economics or Econometrics
Solid understanding of current state of crypto-economics, and blockchain technologies generally
Technically-fluent data scientist with a mature interest in decentralized applications and smart contracts
Deep interest and passion about the future of blockchain technology, web3, and low-level protocol development
Experience working in start-ups and/or hyper-growth companies
Ability to explain complex concepts in simple terms to a non-technical audience
Experience working with a team located across multiple time zones
Desired Qualifications
Excitement for blockchain, Web 3.0, and similar decentralized technologies.
Experience with GitHub Actions and self-hosted runners in particular.
Experience working remotely in a distributed team.
A strong desire to grow and challenge yourself. While this role is mainly focused on maintenance, we would expect you to constantly find ways to improve and automate services under your purview.
Our Stack
BigQuery, Postgres, Airflow
#LI-RF1
Our Principles
At Chainlink Labs, we’re committed to the key operating principles of ownership, focus, and open dialogue. We practice complete ownership, where everyone goes the extra mile to own outcomes into success. We understand that unflinching focus is a superpower and is how we channel our activity into technological achievements for the benefit of our entire ecosystem. We embrace open dialogue and critical feedback to arrive at an accurate and truthful picture of reality that promotes both personal and organizational growth.
About Chainlink Labs
Chainlink is the industry standard oracle network for connecting smart contracts to the real world. With Chainlink, developers can build hybrid smart contracts that combine on-chain code with an extensive collection of secure off-chain services powered by Decentralized Oracle Networks. Managed by a global, decentralized community of hundreds of thousands of people, Chainlink is introducing a fairer model for contracts. Its network currently secures billions of dollars in value for smart contracts across the decentralized finance (DeFi), insurance, and gaming ecosystems, among others. The full vision of the Chainlink Network can be found in the Chainlink 2.0 whitepaper. Chainlink is trusted by hundreds of organizations—from global enterprises to projects at the forefront of the blockchain economy—to deliver definitive truth via secure, reliable data.
This role is location agnostic anywhere in the world, but we ask that you overlap some working hours with Eastern Standard Time (EST).
We are a fully distributed team and have the tools and benefits to support you in your remote work environment.
Chainlink Labs is an Equal Opportunity Employer.
#LI-Remote
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Data Scientist | Paylocity |
About This Role
Hello prospective pickle! Design Pickle is looking for an experienced Data Scientist to join our team and help us develop new ways to inspire our customers and streamline processes for our global network of creatives.
The ideal candidate will be able to create efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. Given our aspirational vision, to be the most helpful creative platform in the world, and the nature of our products, this role requires entrepreneurial drive and thinking, comfort with ambiguity, and ability to break down and solve complex problems.
If you have ever wanted to make a significant contribution and help shape the trajectory of a startup, this role is for you!
Reports to: Director of Data Science
On a daily basis, works closely with: Engineering, Product Management, Product Marketing and Global Operations.
Location: Design Pickle is a fully remote company with a Company Hub in Scottsdale, Arizona.
Who We Are Looking For
First, Design Pickle is anything but typical. We’re a group of hard-working, creativity-loving individuals from around the world.
Do we love pickles, too? Most of us! But don’t stress if pickles aren’t your thing. It’s not a deal-breaker. We do look for a passion and interest in something though because our employees’ uniqueness is what helped make us the great company we are today.
We stand by our vision, purpose, and values, and these are mission-critical to how you show up every single day.
Specific to your role, we’re looking for individuals who have...
Proficiency in one of the following languages: Python, Java, R, C/C++Proven track record in MLOPS, including designing and implementing machine learning and deep learning algorithms, ideally using tools and libraries such as pytroch, tensorflow, PySpark.Experience in natural language processing or computer vision using deep learning models is a plus.Excellent communication skills.Proficient with SQL database.Hands-on experience with a large scale NoSQL (i.e. MongoDB, Neo4j, AWS S3, etc.) storage solution is a plus.Proficient in Computer Science fundamentals such as data structures, algorithm design, and complexity analysis.Experience with both batch and streaming analytics architectures.Experience with big data analytics tools such as Hadoop and/or Spark is a plus.Detail oriented and strong interpersonal skills.MS in Computer Science, Artificial Intelligence, Machine Learning, Data Science or related field. Or 3+ years of equivalent experience.
Bonus Pickle Points:
BA/BS in Computer Science or related field or equivalent experienceExperience working with AWS services - S3, Redshift, MLExperience working with and building reports using tools like PowerBI, TableauExperience working autonomously in global teams.Experience influencing critical decisions with data.
Key Objectives and Responsibilities
As a fast-growing company, our roles are always evolving. However, we want you to know exactly what you’re walking into. Here is a preview of what’s expected:
Conduct cutting-edge research and development of novel machine and deep learning models that promote and advance Design Pickle business objectives.Apply your expertise in advanced analytics, data mining, and presentation of data to facilitate senior leadership decision-making to produce better products and customer experience.Build and maintain high quality Business Intelligence (BI) tools that provide reports, dashboards and metrics to better inform current and future business trends.Apply MLOPS framework to manage development of data resources, gather requirements, organize sources, and support launches while keeping the team focused on engineering and operational excellence.Partner with Senior Leadership, Product, Engineering, and Global Operations teams to solve problems and identify opportunities and areas of improvement.
Benefits, Compensation, and Perks
Uncapped PTO: Hate seeing your PTO hours decrease as the year goes on? Not anymore! There is no cap or number associated with the amount of PTO days you can request.
Major medical healthcare: We offer major medical plans through United Healthcare which is managed seamlessly through EmployeeNavigator.
Dental and vision insurance: We work with Beam Dental and VSP for ancillary coverage.
Remote-work flexibility: More productive at home? Not based in Scottsdale, AZ? Fine with us! We are a remote-first company with people all over the country.
World-class Company Hub: More productive in an office? Also, fine with us! Our Company Hub is set up with state-of-the-art standing desks, high-definition monitors, breakout rooms for meetings and calls, a podcast studio, a relaxation room, a merch wall, and a cold plunge! ….yes, we said a cold plunge.
In-office gym: Our Company Hub also has a small CrossFit-style gym available for any pickles to use!
New parent leave: Design Pickle encourages all primary caregivers to take up to 8 weeks leave for a new family member, including adoption, at full salary.
Paid training and personal development: We offer a yearly stipend for employees to continue to grow their skillset and learn things to help them in their careers.
Stock option potential: We give our tenured staff a stake in what we’re building here.
Life-changing massage chair: We change lives through creativity...and massages. Our team has traveled far and wide to take advantage of a life-changing massage chair that is housed in our Company Hub. One massage is all it will take to radically transform your life.
Pet insurance: Have a furry friend? Design Pickle offers pet insurance through United Pet Care for discounted vet visits, medication, and procedures.
Team retreats, social events, and adventures: Pickle collaboration is important to us! We host regular social events, get-togethers, and experiences for our staff.
About Design Pickle
Design Pickle was founded in 2015 with a vision to change lives through its creative Software, solutions, and services. Since then, the company has grown to be the #1 flat-rate creative services company in the world. We have served tens of thousands of clients with a team that spans the globe.
In 2019 & 2020, Inc. 5000 listed Design Pickle as one of the fastest-growing companies in America.
We are a company that takes our core values to heart:
Be the SPARK
Let your fire and passion inspire someone else’s day.
DRIVE Performance
Seek out new ways to improve performance, satisfaction, and impact for our customers. Less is more rules supreme.
Give it to me STRAIGHT
Lead with radical and professional candor in every situation. Graciously accept when others do the same. Move forward together and aligned.
HELP when nobody's watching
Find opportunities to support each other and our clients beyond the day-to-day.
Lean into HARD
We thoughtfully select our challenges and tenaciously commit to conquering them.
Make your own PICKLES
We are a collection of incredible individuals who challenge ourselves and each other to grow. Change is celebrated as a sign of progress.
You can learn more about our company, our vision, and what we stand for on our website and social channels. We can’t wait to meet you—thank you in advance for your application!
Notice to Staffing and Recruiting Agencies
Design Pickle will not accept resumes from any source other than the candidate. Any unsolicited resume sent to Design Pickle will be considered Design Pickle sourced.
PM21
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Data Scientist | User Interviews |
Why Join Us
User Interviews is a fully remote team (even in the before times). We are proactive about staying connected to one another despite not sharing the same physical space. Remote culture is real and we care about it—a lot.
We’re a team of doers. You’ll be fully supported by your manager and team, but there won’t be anyone peering over your shoulder. You’ll be expected and trusted to take ownership of your work, and to communicate clearly and transparently with your distributed teammates.
On a related note, we’re very pro-feedback. From our users, of course. But also from each other. From individual contributors right up to the CEO, this is a team that is genuinely committed to continuous improvement.
About User Interviews
At User Interviews, we believe that the best companies in the world consistently deliver products and experiences that their customers love. We also believe that the only way to consistently build those products and experiences is to talk to your customers. Watch what they do. Understand why they do what they do. Figure out why they do things that seem irrational. And once you’ve done that once, do it again. Start having constant conversations. In short, make customers your #1 priority through user research.
That’s why we exist. We help teams set up those conversations, allowing them to discover and embrace user insights. We currently do that by making it fast and easy to talk to customers, or potential customers, to help with product, design, or marketing decisions. We work with hundreds of companies every month, including user-centric organizations like Atlassian, Amazon, and Spotify.
Analytics at User Interviews
The mission of the Analytics team at User Interviews is to own all of the company’s data and to analyze it in ways that help us make better decisions. We work with every team at the company across many diverse data sets.
About the Role
As a Data Scientist, you’ll be embedded with a Product team and involved throughout projects, from planning to building, to assessing.The team will look to you to explain current behavior and be a leading voice in where we should go next.
Responsibilities
Use analytical skills to create and test hypotheses, and visualization/presentation skills to communicate results to the rest of the team.
Collaborate with Product Managers, Engineers, Designers, and other teammates to ensure we have the data we need, formulate analysis plans, and complete high-impact reports.
Work with large data sets across multiple problem areas. This includes vetting new datasets as they come in, and developing deep intuition about how all of our data fits together.
Focus on automating reporting tools and dashboards so that we can spend more time on the most complex problems.
Some sample projects that the Data Science team has helped with:
How can we improve customer retention?
What should the Product team build next? Once it’s built, how does it perform?
What predicts how well we fulfill our customers’ needs?
Qualifications
Minimum:
Proficiency in SQL, and either R or Python
Knowledge of statistics and other data analysis methods
Experience working with large, complex datasets
Ability to verify, analyze, and present data in ways that other stakeholders can internalize
Preferred:
Bachelor’s or Master’s in a quantitative field (e.g. Statistics, Mathematics, or Economics); professional experience in data science can be a replacement
Experience working with Engineers to build good data infrastructure
Benefits
- $95k - $100k base + $5k bonus + benefits
- Stock options for every employee
- 100% premium covered medical & dental employee coverage
- Annual membership to One Medical Group & Talkspace
- 401k + employer contribution
- 4 weeks of PTO to start + accrue an additional day each year
- Unlimited wellness days. Sick? Doctor’s appointment? Mental health day? We’ve got you covered.
- Flexible, paid parental leave
- $250 office setup budget
- $500 annual learning & development stipend
- $50/month Work From Home stipend
- Awards for 360-degree recognition, work anniversaries, & birthdays
- 1-2 team retreats per year (virtual and in-person options)
We embrace what makes you, you!
We are committed to accessibility, equity, diversity, and inclusion. We build products for and welcome participants, researchers, and employees from a diverse set of backgrounds. These backgrounds include—but are not limited to—varied socioeconomic status, gender identity or expression, sexual orientation, religion, race, ethnicity, age, neurodivergence, disability, and citizenship.
As we grow, we are aware that this work is continuous. We will not settle for how things are, but rather strive for how they could be.
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Data Scientist Analytics | Twitch |
About Us
Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We’re always live at Twitch. Stay up to date on all things Twitch on LinkedIn, Twitter and on our Blog.
About the Role
Data is central to Twitch's decision-making process, and data scientists are a critical component to evangelize data-driven decision making in all of our operations. As a data scientist at Twitch, you will be on the ground floor with your team, shaping the way performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business, leading the way for high quality, high velocity decisions for your team.
The Creator Data Science & Analytics team is looking for a Data Scientist to support Twitch's Music Team. You will join the team that is shaping the future of Music by bringing the best of Twitch – live video, interaction, community and monetization – to artists of all sizes. Reporting to the Data Science Manager for the Creator Analytics Team, you will be defining & tracking KPIs, providing insights to guide strategies and implementing data solutions to help reshape the growth and monetization of our music creators. Our ideal candidate is a "full-stack" data powerhouse who uses data to guide decision making to ensure the best experiences for our creators and their communities.
This position can be located in San Francisco, CA, or remotely across the US.
You Will:
Inform strategies and prioritization through insights derived from in-depth data analysis, work with stakeholders to inform decisions
Leverage statistical and analytic models to uncover insights and segmentations that drive the business forward
Implement core metrics for Music team, develop automated dashboards and other self-service tools for reporting & surfacing insights to stakeholders
Develop scalable data pipelines to support analytics needs
Evaluate impact of go-to-market initiatives on creators, viewers, and the entire Twitch ecosystem
You Have:
Bachelor's degree in a mathematic, scientific or information technology field of study
5+ years of experience as a data scientist or data analyst in a high-velocity environment
Expert fluency in SQL-based data manipulation
In-depth experience using scripting languages such as R or Python for data analysis
Proven experience deriving insights from data and presenting to business stakeholders
Experience building aggregates and optimizing data workstreams
High level of comfort creating dashboards in Tableau or comparable software
Impact-oriented, customer-centric approach to data analysis
Bonus Points
Experience with strategy consulting, LTV models, and health score models
Experience working with music/entertainment industry
Passion about online communities, games, and Twitch
Perks
Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Commuter Benefits
Amazon Employee Discount
Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.)
Breakfast, Lunch & Dinner Served Daily
Free Snacks & Beverages
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.
We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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.
The pay range for this position in Colorado and Connecticut is $144,000 - $176,000 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 and CT House Bill Number 6380. Base pay information is based on market location. Applicants should apply via Twitch's internal or external careers site.
Job ID: TW6899
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Data Scientist | Ableto |
About AbleTo
Join our mission-driven organization, where your work matters and a diversity of ideas and backgrounds are welcomed. AbleTo is the leading provider of high quality, technology-enabled behavioral health care. We believe that everyone deserves access to high-quality care and offer a suite of technology-enabled services to empower people to lead better lives through better mental health. A proprietary platform connects individuals with AbleTo highly trained licensed providers who deliver weekly sessions by phone or video supported by an integrated digital experience. Members also have access to mental health coaches, and digital support programs. Our outcomes-focused approach is proven to improve both behavioral and physical health and lower medical costs.
Overview
The Data Science team develops and deploys models to 1) target appropriate members who would benefit from our behavioral health programs using claims data, 2) optimize provider network and call center workflows using operational data, and 3) create data products that support business stakeholders. We are a team of multidisciplinary scholars making a meaningful impact on members' quality of life. We leverage cutting-edge technologies in feature engineering, machine learning, operations research, and MLOps. We have been playing a crucial role in the company's rapid growth, and will continue to support internal and external stakeholders to provide high quality, technology-enabled behavioral health care.
What You'll Do:
As a Data Scientist at AbleTo, you will work in a uniquely cross-functional capacity, helping teams across the organization apply analytical rigor to their decision-making:
Build, maintain and improve targeting models and production pipelines; design and implement model features using medical and pharmacy claims data, engagement data, and other data sources.
Build and maintain dashboards and other reporting tools to monitor targeting models, acquisition funnels and other business metrics relevant to managing core data science products.
Collaborate with teams across the business to design and build data-driven solutions that improve member outcomes and add value to the company.
Support decision-making around the management of our provider network, from providing analytical insights to building predictive and prescriptive models.
Who You Are:
Advanced degree (MSc or PhD) from a highly quantitative discipline, such as statistics, physics, computer science, electrical engineering, operations research, etc.
High proficiency in Python, Linux and cloud computing.
Highly skilled in data processing and analytics with SQL, Pandas (Python), PySpark
High proficiency in machine learning using xgboost, scikit-learn, SparkML libraries.
Hands-on experience in handling large-scale datasets, thoughtful feature engineering, and predictive modeling.
Solid knowledge of statistics. Previous experience in applying statistical concepts in business / policy / research settings.
Experience with coding best practices.
Experience with healthcare data, psychology, or operations research is a plus.
Good communication and presentation skills.
Experienced in collaborative data science projects with other engineers and scientists is a plus.
Thrives in a team environment, and focuses on the success of the team and company.
Both technically and strategically savvy. Strives to work smarter, not harder.
Passionate about the advancement of technology and how it can improve our workflow.
Why You Should Join Our Team:
We’re proud to be a Great Place to Work-Certified™ company. We want you to show up and feel your best at work, and that means respecting your time outside of work. Our inclusive, flexible workspace prioritizes a work/life balance. We offer competitive salaries, comprehensive health benefits (for full-time employees), and professional perks such as 401K matching, fully funded HRA, and generous time off, including mental health days because your well-being is important to us.
At AbleTo, we’re empowering people to get better and stay better. Want to join us? Take the next step in your career by applying for this role today.
#LI-Remote
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Senior Solution Data Scientist Life Sciences | Dataiku |
Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1000 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI.
Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users.
Through DSS, we aim to empower people through data, democratize data science, and to make our everyday AI ambition a reality.
To accelerate our everyday AI mission, Dataiku’s Business Solutions team is in charge of creating a full range of solutions aiming at easing delivery of key use-cases by our customers.
Dataiku is looking for a Senior Solution Data Scientist specialized in Life Sciences (incl. Pharmaceutical and biotech companies, healthcare payers and providers, and more) to join Dataiku’s Business Solutions team. In this role, the Senior Solution Data Scientist will focus on creating and supporting go-to-market solutions dedicated to Life Science players. Through interactions and detailed work with Dataiku partner community and customers, the Senior Solution Data Scientist will play a key role in identifying industry specific needs, scope use-cases, and build “ready-to-use” solutions. This mission will be run in tight partnership with the Solutions Director for Life Science, the rest of the Business Solutions team, and all other Dataiku teams, including Data Fab, Sales, Customer, Partnerships, Product and R&D.
What you’ll do:
Work tightly with the Solution Director for Life Sciences on building a strong Solutions roadmap dedicated to Life Sciences. This roadmap will be fuelled by a variety of signals, including market evolutions, customer experiences, partner initiatives, specialized data and ISV players, .…As part of this role, the Senior Solution Data Scientist will have to develop strong relationships with a range of trusted customers and partners, ensuring constant support on roadmap construction and delivery.
Own the building and delivery of a range of resulting projects, from ideation to full delivery. The Senior Solution Data Scientist owns the delivery of pre-built use-cases (flow, visualization, packaging), creation of replicable and composable assets (plugins, integrations, …), documentation, testing, … The Senior Solution Data Scientists will also own the building and delivery of future evolution roadmap for each solution.
Tightly work with other Data Scientists owning projects related to the Life Science space. Provide steering, expertise, technical oversight and more. Act as a go-to-person on Life Sciences specific subjects for the Dataiku Data Science community and Sales Engineering teams.
Be a key stakeholder in the initial roll-out of resulting Solutions in the market: customer demos, customer implementations, partner training, marketing, enablement of all other Dataiku team members (ie. Data Fab, Sales Engineering, …).
Be an active member of Dataiku’s Solutions Engineering group: support building of our overall engineering roadmap, contribute to capitalization and technical research for the team, own key transversal projects, and more.
Who you are:
5+ year total experience minimum, with deep hands-on experience and appetite for Life Sciences analytics and data science projects, with strong understanding of integration in business processes (commercial activities, patient testing, patient care, drug research and testing, health care systems….)
Proven track record of scoping and managing data-science projects in an autonomous manner.
Ability to work in a global, distributed team. Strong communication skills, with capacity to adapt level of technicity and speech to a wide range of audience.
Appetite for client facing engagement and proven capacity to deliver top quality documentation and marketing content (blog posts, step-by-step flows, …)
Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public.
Strong appetite for data science use-case packaging and willing to develop an engineering mindset: keen to turn outcomes into easy to understand visualizations, explore integrations with other tools, build reusable building blocks, mindful of production constraints,...
2+ years of experience with R or Python
2+ years of hands on experience with data ETL, cleaning, and machine learning algorithms
Knowledge of NLP, deep learning, reinforcement learning, knowledge graph, and causal inference methodologies
Experience with life sciences data model concepts and standards including OMOP, FHIR, and FAIR will be a plus
Experience developing WebApps (Javascript,Dash or RShiny..)
Curious, eager to learn and explore, extremely structured and autonomous.
Based in Paris or London, other Dataiku offices or remote
About Dataiku:
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [email protected]
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Subsets and Splits