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Senior Data Scientist | Rvo Health |
AT A GLANCE
We are looking to hire a Senior Data Scientist to join our team at RVO Health. We are building an industry leading healthcare platform that will integrate the consumer health journey and help consumers access the right information, care, products, and services at the right time, bringing differentiated value to the lives of millions of people. We are a new joint venture formed via a partnership between Red Ventures, one of the world’s premier digital and consumer analytics companies, and UnitedHealth Group, one of the largest healthcare providers in the world. We're developing applications that will impact how we produce media, personalize our site experience, scale our teammates' reach, and provide our services to every consumer. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
What You'll Do
Research the state of the art of machine learning, statistical modeling and optimization technologies, and their 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 proofs of concept.
Initiate and lead the execution of data science research and product development often with cross-functional, multidisciplinary teams. Collaborate with stakeholders to drive decisions.
Act as an effective technical liaison to the business leaders. Work effectively across business, creative, and engineering groups to build a positive culture.
Mentor and/or manage junior members on the team and internally serve as a subject matter expert. Contribute to the cross-organization technology strategy and roadmap for data science.
Help create and promote an inclusive environment where team members feel comfortable and empowered.
What We Are Looking For
4+ yrs of professional experience in a data science role
Our core problems to solve are:
Website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.
Text and image generation - leveraging recent advances of large language models and their derivatives to scale what our creative functions can do.
Recommender systems - represent a large user and item space in a way to efficiently retrieve and rank personalized recommendations to our users.
Candidates with specific expertise in any of these areas will be highly preferred.
Expert knowledge of deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Entrepreneur mindset with strong business acumen and capability of coming up with creative ideas to generate value for consumers and business with a proven track record of advancing research ideas into production.
Proficiency in one or multiple literate statistical programming languages like R, Python, or Scala. Our machine learning team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience leveraging technical expertise to identify the feasibility of potential machine learning projects, ensuring the team is delivering value on feasible projects.
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
Starting Salary: $100,000-$175,000
*Note actual salary is based on geographic location, qualifications and experience
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 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, Optum Store and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
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.
RVO Health 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 RVO Health 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].
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Director Of Data Science Operations | Monzo |
📍London/Anywhere (UK)
About us:
We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.
We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.
We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.
About our Data Discipline:
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in cross-functional squads where every data practitioner is a member of a central data discipline and fully embedded into a product squad alongside Engineers, Designers, Marketers, Product Managers, Finance Analysts etc.
What you’ll be working on:
Our data team in operations supports the areas that Monzo is probably most known for: providing a delightful customer experience. You’ll be in charge of leading the team responsible for optimising operations - from ensuring we can accurately forecast and schedule our customer support agents, to supporting a culture of experiment led outcomes among our product squads. You’ll lead a full stack data team including Analytics Engineers, Analysts, Data Scientists, Machine Learning Engineers, working alongside your partners in Product, Engineering and Operations to produce market leading customer service cost effectively.
Your day-to-day
Establish yourself as a trusted partner to the operations leadership team with a reputation for getting things done
Work closely with operations leadership to define data’s priorities and support our operations strategy
Help develop and retain a data team of 20 top tier data analysts, data scientists, data managers and machine learning engineers
Promote a culture of proactive, high quality data insights that can impact the direction of Monzo
You should apply if:
What we’re doing here at Monzo excites you!
You’ve gathered significant experience in customer operations
You have multiple years of experience in a hands on data role and have now been leading data science teams in operations / large scale support functions
You consider yourself an empathetic leader and have experience managing multiple data individual contributors and data managers and you really enjoy that part of the job
You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
You have experience working together and collaborating with senior business stakeholders and operations teams
You have experience leading a full stack data team, including Analysts, Data Scientists, Analytics Engineers and Machine Learning Engineers
You have experience managing data managers
The Interview Process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
30 minute recruiter call
45 minute call with the VP of Data
3 x 1-hour video calls with various team members, including the general manager for Operations
A meet and greet with a Monzo ExCo member
Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on [email protected]
What’s in it for you:
✈️ We can help you relocate to the UK
✅ We can sponsor visas
📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
📚Learning budget of £1,000 a year for books, training courses and conferences
➕And much more, see our full list of benefits here
Equal Opportunity Statement
We are actively creating an equitable environment for every Monzonaut to thrive.
Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2021 Diversity and Inclusion Report and 2022 Gender Pay Gap Report.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
#LI-CS #LI-REMOTE
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Observability Data Scientist | Elastic |
At Elastic, we see endless possibilities in a world of data, and we use the power of search to help people and organizations turn that possibility into results. Elastic is the leading platform for search-powered solutions. With solutions in Enterprise Search, Observability, and Security, we help improve customer and employee search experiences, keep critical applications running smoothly, and protect against cyber threats. Elastic enables organizations worldwide to use the power of Elastic, including Netflix, Uber, BBC, Microsoft, and thousands of others.
Elastic was built on a foundation of being free and open, which trickles down to how we work. We’re a distributed organization and have been from the beginning. Being distributed isn’t just a way of doing business—it’s a mentality that is at the core of our culture.
Engineering philosophy
We believe that engineering complex, pluggable software for the web that is built to last the test of time is both tricky and exciting. Doing so requires a team of diverse individuals, with sharp minds and the ability to empathize with our users, working together with mutual respect and a common mission.
We care deeply about giving you full ownership of what you're working on. Our company fundamentally believes great minds achieve greatness when they are set free and are surrounded and challenged by their peers, which is clearly visible throughout our organization. At Elastic, hierarchy does not determine how decisions get made. We feel that anyone needs to be in the position to comment on anything, regardless of their role within the company.
The Role
The Observability team is in charge of developing solutions that focus on application developers and engineers that run infrastructure and services supporting these applications. Elasticsearch is an efficient datastore for logs, metrics, and application traces, supporting the three pillars of observability.
Faced with an ever-increasing volume, variety and velocity of data generated by applications and infrastructure, Ops teams need to leverage big data and machine learning techniques to manage their applications and infrastructure. AIOps (Artificial Intelligence for IT operations) enhances a broad range of IT operations processes including anomaly detection, event correlation, and root cause analysis to improve monitoring, service management, remediation assistance, and automation tasks.
The team is looking for a Data Scientist who will be working in a team of developers and in collaboration with other data scientists to evolve our Observability product, leveraging AI on Logs, Metrics, APM, Synthetic Monitoring and other data to ensure the delivery a comprehensive solution that will help our users to reduce their mean time to detect (MTTD) and to repair (MTTR).
You will collaborate with the broader Elastic Observability and Platform teams, a diverse set of software and machine learning engineers, experts in all the pillars of observability who lend domain expertise to work with you to creatively solve Observability problems.
The team is diverse and distributed across the world, and collaborates on a daily basis over GitHub, Zoom, and Slack. Thus, the ability to work within a distributed team is critical.
What you will be doing
Joining the Actionable Observability team
Collecting and analyzing observability data to design and improve your models
Designing and developing models to solve observability problems
Collaborating with product managers and designers to leverage AIOps for Elastic Observability
Working with other engineers to get your data solutions implemented as features into the Observability product
Participating in collaborative efforts to improve our ML jobs with the ML teams
Promoting long-term vision for leveraging AI/ML techniques to creatively surface and solve Observability problems (senior position)
What you will bring along
Experience developing statistical and machine learning models
Solid understanding of supervised and unsupervised machine learning for classification, regression, clustering, anomaly detection, and NLP
Proficient programming skills and experience using any of the most popular ML frameworks, e.g. Scikit-Learn, SpaCy, PyTorch, Keras, or TensorFlow
Experience working within engineering teams and being able to apply engineering solutions to data science problems
Ability to work in a fully remote and highly autonomous environment
Experience working with large volumes of time serie and unstructured data
What Would Be A Great Addition
Experience with observability, monitoring, and/or AIOps solutions
Experience using the Elastic Stack
Proficiency with Javascript and/or C++
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Lead Data Scientist | The Looma Project |
Looma Background
Looma exists to bring transparency, humanity, and responsibility to advertising and commerce. We do so by connecting shoppers to the people and stories behind their favorite brands and informing their purchasing decisions.
Our first product, Loop™, is a network of in-store screens that play short videos focused on storytelling and education. The content for this network is powered by our second product, Relay™️, a marketplace of filmmakers who specialize in point-of-decision video in food & bev.
Position Summary
Looma’s small and mighty Data Science team builds out scalable data products, delivers critical business insights, and develops sophisticated machine learning models. We’re looking for our team’s next addition to take our machine learning and insights to the next level. You’ll work on projects such as:
Modeling customer behavior using our rich retailer transaction log dataDiscovering what makes films effective using computer vision dataBuilding on top of the existing inferential sales lift modeling and ML Ops
At Looma you’ll be supported by a robust set of data and analytics. If you thrive on building machine learning models and ML ops, please don’t hesitate to apply.
Tech Stack:
Data Science work relies heavily on the R ecosystem, including the tidyverse, Shiny, Plumber APIs, and Posit Connect.Data pipelines use dbt and Fivetran.Data warehouse is in Google BigQuery.Internal data is available via GraphQL API.External data is extracted and loaded using GC Functions and Storage.The broader technical stack is GCP-centric and relies on Golang and Typescript.
The responsibilities for this role can be split into three primary categories:
Statistical modeling and advanced analytics: 60%Machine learning ops development and management: 30%Consulting on other Data Science projects: 10%
Attributes
Applied experience with scalable machine learning in a business contextPreferably in a CPG, retail, or retail media contextPreferably with customer-centric models (ex: value, journey, retention)Experience using or building ML ops management solutionsRespect for the practices that make for robust analytics (cross-validation, version control, testing, package development, commenting, etc.)Ability to thrive in a dynamic startup environment with a wide variety of analytics projectsSoft skills to match the rest of the team: enthusiasm, curiosity, and empathyAbility to translate data needs to an analytics engineering teamExperience programming with R and the Posit ecosystem is a bonus but not a requirement
Structure & Compensation
Looma will provide a competitive compensation package consisting of base salary and stock options. All Looma compensation packages include cash / equity flexibility (i.e. you can opt for more equity and less cash or vice-versa).
Benefits
Employee coverage for health, dental, and vision (gold plan)Unlimited PTO (3-week minimum)Up to 12 weeks parental leave401(k) planFlexible office setting (office, flex, or WFH, with associated stipends)$100/month craftsmanship stipend
Looma’s Hiring Philosophy
Looma believes culture is one of the strongest predictors of success for a startup. Strong contributors to Looma’s culture will exhibit the following characteristics:
HumilityIntegrityWisdomEmotional IntelligenceGritJoyfulnessFun
Diversity & Nondiscrimination
Looma believes diversity is a fundamental good, and we are committed to promoting diversity both in our workplace and through the stories we tell. We do not discriminate on the basis of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status, class or caste status, or any other protected class. Our global nondiscrimination policy covers these protected classes in every market in which we do business.
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Data Science Manager Iap Roas Pod | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Manager of Data Science to join a team focused on the development of IAP ROAS (Return On Advertising Spend) Machine Learning models that power our real-time bidder, one of the most exciting and important products within Chartboost. These models help predict the propensity for a user to spend money within a mobile game, one of the key KPIs our advertising partners measure for the success of their User Acquisition strategies. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges.
Impact you will make:
Build and manage a team of Data Scientists that has a focus on maximizing the IAP ROAS for our customers
Mentor team members and help guide them in their career development
Design and test predictive models at large scale that control real money
Find new and creative ways to utilize the massive piles of data we have using both supervised and unsupervised methods
Generate insightful and actionable information driving ranking and revenue performance by using rigorous scientific and statistical methods
Train and tune learning models offline, provide clear guidelines for A/B testing and production launch
Analyze millions of structured and unstructured data points and identify meaningful features/signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and infrastructure
Define, advocate, and maintain high standards for data quality
Develop best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role
2+ years of experience managing a Data Science team
Diverse exposure to many different Machine Learning and modeling techniques such as NLP or deep networks as well as traditional modeling techniques
Ability to make progress independently: you know enough SQL to pull your own data and have mastered a programming language enough to assist you in analysis
You have a sound understanding of Data Science and Machine Learning principles
The following experience would be a plus:
Ad tech and/or Mobile space
Perks:
Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely
Private health insurance
Life insurance
Optical complement for glasses or contact lenses
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Manager Growth Marketing Analytics | Everquote |
Remote or Hybrid
The Manager, Growth Marketing Analytics is responsible for growing our core performance media channels (Display, Social and Video) by owning both the strategy and end-to-end execution of marketing campaigns. You’ll leverage your bar-raising data analysis skills to diagnose channel performance and prioritize opportunities, and you’ll leverage your creativity and understanding of user psychology to design + run experiments that optimize creatives and site experiences. You’ll be the resident expert in performance media and continue to bring the latest best practices to our portfolio of channels and campaigns.
This role is for you if you love data analysis and user psychology, if you’re energized by seeing immediate financial results of your work, and if you’re committed to operational excellence and continuous improvement.
This role is not for you if you’re not comfortable working in a fast paced environment, getting “in the weeds” of campaign management, or uncomfortable with P&L ownership.
This is an individual contributor role with the potential to build a team around the growth of our performance media program!
You Have:
Experience running performance media channels (Display, Social, Video), ideally in a B2C setting
Experience with creative production and testing
Exceptional analytical skills – a degree in Statistics, Mathematics, Economics, Finance, Computer Science, related field OR demonstrated analytical and technical ability (working professional history as a Data Analyst )
A proven track record of turning business problems into solutions using data, creativity, and empathy.
Understanding of core statistical concepts - including hypothesis testing, confidence intervals, and regression analysisFamiliarity with web analytics tools and marketing technologies (e.g Google Analytics, pixel/tag management, BI platforms, etc)
Stellar communication and presentation skills
Strong Excel skills and working knowledge of SQL
A deep curiosity about consumer needs and behavior in the insurance space!
The base compensation range for this role is $115,000-$130,000 plus equity (RSUs). We also have an Open PTO policy, employer retirement match with generous vesting, plus more!
We get it. Requirements can sometimes hold people back from applying to a job, but don’t let that be the case here. If you believe you have the skills it takes to elevate this role, team, and company, we encourage you to apply for this role.
About Us:
EverQuote (Nasdaq: EVER) operates the largest online marketplace for insurance shopping in the United States. We make insurance shopping easy, efficient and personal, saving consumers and providers time and money. Our goal is to reshape the way consumers shop and improve the way insurance providers attract and connect with customers as insurance shopping continues to shift online.
EverQuote is committed to building an equitable, diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or veteran status.
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Data Scientist | Betterworks |
About Betterworks
Betterworks provides enterprise software to easily manage strategic plans, collaborative goals (OKR’s) and ongoing performance conversations. Betterworks software helps high-performing companies get aligned, and execute more effectively.
Betterworks closes the loop between people, strategy, and results, enabling organizations to align even their most sprawling, dynamic teams. Industry leaders such as Intuit, Freddie Mac, Asurion, Udemy, Vertiv, HCSC, and the University of Phoenix rely on Betterworks to accelerate strategic growth by supporting transparent goal-setting, enabling continuous performance, and gleaning real-time employee engagement insights.
Betterworks is backed by Kleiner Perkins and Emergence Capital. John Doerr, iconic investor, OKR pioneer, and author of New York Times Best Seller "Measure What Matters," is a board member, and Josh Bersin, global HR thought leader, serves as an advisor.
What You’ll Be Doing
Work with stakeholders to identify opportunities for leveraging company dataset to drive business solutions including new product features.
Discover actionable insights from data sources and develop novel algorithms and models through the use of statistical, machine learning or deep learning methodologies.
Optimize and improve performance of the algorithms and models to meet product and business strategies requirements.
Assess the effectiveness and accuracy of data sources and data gathering techniques.
What’ll Help You Be Successful
Degree in a quantitative field such as Statistics, Applied Mathematics, Physics, Computer Science, or related STEM discipline.
5+ years of relevant experience.
Knowledge and experience in advanced statistical techniques and concepts (regression, properties of distribution, statistical tests, etc.) and experience with applications.
Knowledge and Experience in a variety of machine learning and deep learning techniques, e.g. NLP and its real-world application.
Proven ability to develop and deliver data science projects to production with large scale dataset.
Experience in Pytorch, Tensorflow, Pandas, Numpy, scikit-learn, Matplotlib.
Experience querying and analyzing data from various data sources: Postgres, MongoDB, etc.
Experience in at least one programming language (Python etc.).
Experience visualizing data for stakeholders.
A drive to learn and master new technologies and techniques.
Why Betterworks
At betterworks, we prioritize our people. In that spirit, we’ve put together a great benefits program to support our employees’ health and wellness that includes the the following:
Work closely with a cross functional team of highly motivated and intelligent folks with a unique range of startup and enterprise experience.
Balanced Work / Life with unlimited vacation and second Friday off every month.
Vibrant company culture with frequent team building events.
Competitive salary with stock options.
Company sponsored health and personal accident insurance benefits.
Remote first work culture that allows you to work from anywhere in India and travel to meet as a team when possible.
Weekly In-house Happy Hours.
$235 one-time reimbursement for work from home office set up.
$95 monthly stipend for internet.
Betterworks is backed by Emergence Capital (Series B), Kleiner Perkins Caufield & Byers and 8VC. Betterworks has an experienced team from innovative companies like Amazon, Box, Google, LinkedIn, Palantir, Salesforce and Yammer.
About Betterworks
Betterworks® aligns, develops and activates your workforce for business growth. Through our easy-to-use, integrated software solutions and expertise, we help organizations replace outdated annual review processes with powerful Continuous Performance Management® programs that help managers be better at the conversations, coaching and development necessary to inspire and motivate the entire workforce to meet today's goals and be ready for tomorrow's challenges. Our solution supports truly global workforces, and is used daily by workers from more than 100 countries with localization support in more than 20 languages.
Follow Betterworks on Twitter or connect with us on LinkedIn
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse betterworks. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global betterworks Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
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Data Science Summer Intern | Petal |
About Prism Data
Prism Data is leading the future of cash flow underwriting, which directly addresses the problems faced by millions of Americans who cannot access fairly priced, mainstream credit products through legacy (credit report-based) underwriting. Prism’s infrastructure and API platform analyzes and risk-scores consumers based upon their banking transactional data - enabling banks, fintech lenders, insurers, and others to have a more holistic, real-time view in how consumers earn, save, and spend - so they can serve more customers, build better products, and make smarter risk-based decisions.
Prism was launched in 2021 by Petal, which pioneered the use of automated cash flow underwriting in consumer credit over 6 years ago, as a means of providing consumers, especially those underserved by the mainstream financial system, access to safe and affordable credit.
Prism has emerged from its successful 2021 private beta. We're building out our first "core team" to commercialize the solution and expand access to businesses broadly.
We're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. We welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.
The Data Science, Intern role
Prism is working on helping to turn consumer banking history into financial insights. Achieving this objective requires best in class models that are continuously being improved, making the data science function critical for this mission. In this role, you will aid in the development of models and conduct research to support the Data Science team.
Key responsibilities:
Develop insights and data visualizations to solve complex problems and communicate ideas to internal stakeholders.
Extract and analyze data, investigate data integrity, generate metrics and perform ad hoc analysis.
Explore and test new data sources to improve our risk and marketing models.
Research new models, algorithms, and enhanced model features to improve our credit scoring and risk models.
Partner with data engineers to validate and deploy solutions in an efficient, sustainable and usable manner.
Characteristics of a successful candidate:
Progress towards a degree in a STEM Major (Science, Technology, Engineering, or Math)
Strong knowledge of statistical and/or machine learning techniques OR strong knowledge of Python (strong SQL is a plus!)
Nice to haves:
Strong preference to rising Seniors or candidates working toward MA/MS/PhD
We are an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. We’re proud to be different, together.
Petal provides standard ranges in order to be compliant with local legislation as well as to provide greater transparency to candidates. The compensation information provided here is based on a good faith estimate at the time of this job posting.
This role has a rate of $7,000 per month. Ranges are based on function, level, and office location, and are benchmarked against similar stage companies. Exact compensation amounts are determined by multiple factors including but not limited to skill set, level of experience, and office location, and may vary above or below from the amounts listed above.
For our California employment information privacy statement, please click here.
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Principal Data Scientist Pricing Rev Optimization | Hotel Engine |
We are seeking a Principal Data Scientist to join our R&D organization and lead our work on Pricing and Revenue Optimization. This senior individual contributor role reports to the VP of Data Science and is critical for our company's success. The ideal candidate will have extensive expertise in data science, machine learning, systems design, and architecture, with a passion for the travel industry. This key leadership position offers the opportunity to influence product and business direction, requiring a highly motivated, self-starting individual with a strong track record in data science and a focus on rigorous work and action.
If you are passionate about travel, about working on both strategic project and hands-on implementation, and relate to our vision and DNA, please apply.
Here’s what you’ll do:
Collaborate with Product, Engineering, and Finance leaders to refine our pricing and revenue optimization strategy, derive requirements, and architect relevant services
Lead the end-to-end process, including conception, development, production, deployment, and monitoring of data and machine learning models for pricing and revenue optimization
Drive innovation by researching and implementing cutting-edge machine learning techniques, algorithms, and tools to improve and optimize existing models and systems
Partner with the platform services engineering team to iterate on our pricing and revenue optimization services, ensuring seamless integration with existing infrastructure and systems
Design, execute, and evaluate pricing experiments, using statistical analysis and hypothesis testing to draw conclusions and inform decision-making
Monitor success using KPIs and customer behavior data to inform iterations and drive performance, while proactively identifying opportunities for improvement
Provide technical leadership to data scientists and analysts working on pricing and personalization, mentoring and guiding them in their career development
Collaborate with data and platform engineers to scale our data infrastructure in line with the needs of these services (data acquisition, ETL pipelines, reporting infrastructure, feature stores, etc.)
Work with the VP, Data Science to build and coach a world-class team of data scientists, data engineers, and machine learning engineers, fostering a culture of continuous learning and growth
Communicate effectively with stakeholders at various levels of the organization, presenting complex data insights and recommendations in a clear and actionable manner
Stay current with industry trends, emerging technologies, and best practices in data science and machine learning, ensuring that our team remains at the forefront of innovation
Here’s what we’re looking for:
8+ years of industry experience as a data scientist or ML engineer in high-growth environments, with a track record of successfully leading complex projects and delivering impactful results
Master's degree or PhD in Computer Science, Engineering, Economics, Statistics, or another quantitative discipline
Proven experience applying machine learning, including deep learning techniques, to real-world data problems (such as pricing, recommendation, personalization, image recognition, and natural language processing) and deploying and scaling models in a production environment
Solid fundamentals in algorithms, statistics, predictive modeling, and optimization, with a deep understanding of various machine learning techniques and their appropriate application
Proficiency in Python and experience with ML libraries or platforms
Demonstrable experience in system/software architecture and development, with a focus on scalable, efficient, and reliable systems
Familiarity with cloud computing platforms (e.g., AWS, GCP, or Azure) and experience with big data technologies such as Hadoop, Spark, or NoSQL databases
Ability to solve complex analytical problems using quantitative approaches, blending analytical, mathematical, and technical skills
Excellent communication skills, with the ability to articulate goals, architecture, methodologies, and insights to a diverse group of stakeholders, both in technical and non-technical terms
Highly detail-oriented, with exceptional organizational and follow-through skills, and the ability to manage multiple competing priorities simultaneously
A proactive mindset and the ability to work independently, taking ownership of projects and driving them to completion
Cash Compensation:
In addition to a compelling equity package, a reasonable expectation for total cash compensation for this role is between $175,000 - $200,000/year (made up of base plus bonus). Final offer amounts are determined by multiple factors, including prior experience, expertise, and may vary from the amount above.
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Senior Data Scientist | Geico |
Senior Data Scientist (REMOTE/HYBRID) – Computer Vision
GEICO's claims data science team uses a variety of machine learning methods and data sources to create innovative products and systems to enhance the operational efficiency and customer experience of our claims handling processes. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data cleaning, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT and business stakeholders to ensure that our systems can be deployed quickly and monitored continuously.
We are looking for a senior data scientist to spearhead initiatives integrating computer vision and image analytics into Geico’s claims handling processes. You will serve as a technical and thought leader on a diverse and highly skilled team. You will research, develop, and deploy machine learning systems to streamline claim handling experiences and underwriting decisions to create a competitive advantage for GEICO. You will analyze large datasets with hundreds of millions of images and solve complex business problems using state-of-the-art AI/ML models. You will work in a highly collaborative team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will help management communicate insights and implement impactful data science solutions across the organization.
Expected Qualifications
Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc.4+ years of experience in designing, developing, evaluating, and deploying machine learning systems, with at least 2 years of experience in computer vision related projectsDeep understanding and experience with advanced statistics and machine learning techniques, including GLMs, tree ensembles, deep learning, causal inference, survival analysis, etc.Superior coding skills using common data science languages, including Python (strongly preferred), R, Linux/Unix command line and shell scriptingExcellent skill and extensive experience in big data processing tools such as Apache Spark, Snowflake or equivalent querying language and systemsStrong experience with common cloud computing platforms such as AWS, Azure or GCPExcellent communication skills and experience in working with stakeholdersPassion for extracting hidden insights and building ML systems that enhance business outcomes
Preferred Qualifications:
Deep understanding and experience with state-of-the-art models in image classification, object detection, image segmentation and multi-modal learningExperience with Deep Learning frameworks like TensorFlow or PyTorchExperience with GPU-based model training and inference infrastructure and architectureExperience with (cloud/mobile/frontend) deployment and integration of deep learning modelsExperience with the insurance industry is a plus
Location Requirements:
This position can be fully remote. Remote associates are expected to travel twice a year to our corporate HQ in Chevy Chase, MD where the hiring team is locatedAssociates based in the DC metro area are expected to follow a hybrid work schedule
The safety of our associates is GEICO’s highest priority. If you are required to come into the office for licensing, training, or orientation, please note that we have implemented a variety of safety precautions within our offices. Additional safety precautions include no-contact temperature screening stations, added signage for associates on common-area occupancy limits, socially distanced workstations, and increased cleaning procedures for all areas.Benefits:As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:· Premier Medical, Dental and Vision Insurance with no waiting period**· Paid Vacation, Sick and Parental Leave· 401(k) Plan· Tuition Reimbursement· Paid Training and Licensures*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.**Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.#LI-MA1
Annual Salary
$100,000.00 - $204,500.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
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Senior Data Scientist | Deel |
Who we are and what we do
Deel is a global team that helps businesses hire anyone, anywhere, easily. Deel consists of more than two thousand self-driven individuals spanning over 100 countries. Our unified yet diverse culture keeps us continually learning and innovating the Deel platform and our products for customers.
Companies should be able to hire the best talent anywhere in the world, so we are building the best platform to make that a reality. Our market-leading technology, expertise, and global team are crucial to the success of Deel’s platform. We deliver the best products and platform features in our space, enabling millions of jobs worldwide and connecting the global workforce with the best companies and opportunities.
Why should you be part of Deel's success story?
A 30-mile hiring radius should no longer dictate how companies hire because great talent lives everywhere. Deel sees a world without hiring borders and endless talent that pairs perfect candidates with great companies.
We offer global teams all the tools they need to hire, onboard, manage, pay, and scale at full speed. We aim to foster a diverse global economy by building a generational platform that seamlessly connects companies with talent worldwide.
After our successful Series D in 2021, we raised another $50M last year, doubling our valuation to $12B.
There’s never been a more exciting time to join Deel — the market leader in international payroll and compliance.
Duties
Solve real world problems using applied algorithmic research and Data Science practicesImplement functionality which can be served in production for internal and external customersDesign, build, and maintain datasetsPerform data cleaning, feature engineering, feature extraction, modeling, and experimentationConduct online and offline demonstrations of capabilitiesBuild end-to-end machine learning pipelinesCollaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutionsApply software engineering practices in code that implements research and infrastructureProduce high quality, clean, and maintainable reproducible research and code
Requirements
High proficiency in Python and its data science stack3+ years of background and experience in data/backend engineering, ideally in production environments (Mid/Senior Level role)2+ years of background and hands-on experience in implementing research and algorithms in Python, specifically in information retrieval, text processing, NLP, and machine learningGood written and verbal communication skills and ability to collaborate well with people from different backgrounds and professionsBachelor's degree or higher
We’d especially love to speak with you if:
You are a strong data/backend engineer and aspiring data scientist with some hands-on experience in the data-science fieldYou have experience in collaborating with other scientists and engineersYou have significant experience in NLPYou have experience automating processesYou are comfortable with building things from scratchYou are comfortable with uncertainty and explorationYou have a track record of delivering value.
Total Rewards
Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.
At Deel, you’ll enjoy:
Computer equipment applicable to your roleStock grant opportunitiesAdditional perks and benefits based upon your employment status and countryThe ability to choose where you work whether it be your home, the beach, or a WeWork
At Deel, we're an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics.
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Sr Growth Marketing Data Scientist | Philo |
Philo: TV on the Internet (TVoIP)
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.
Data Science at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting growth and marketing problems. You’ll be working closely with other data scientists, analysts, marketing managers, and engineers to build and deploy solutions directly for our service.
We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye.
Some of the recent projects our Data Science team members have worked on include:
Modeling to determine which early product behaviors predict conversion to a paid subscriber
Building in-house marketing attribution models to evaluate marketing channel performance (Marketing Mix Models and Multi-touch Attribution)
Performing matched market lift tests in collaboration with marketing managers
Price sensitivity research and competitive market analyses
Qualifications
Philo is seeking a Senior Growth Marketing Data Scientist with demonstrated understanding of statistical modeling (in R and/or Python), SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams.
In this role the Senior Growth Marketing Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to building and delivering software tools for our marketing team, including measurement and experiment design, and from causal analysis and post-launch learning into the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo.
Responsibilities:
Build a deep understanding of how subscribers are acquired on each of our streaming platforms, including where they run into problems as well as proposing new approaches
Develop a unified approach to measuring marketing performance by combining multiple methods of marketing measurement including Marketing Mix Modeling (MMM), Geo-based experimentation, and Multi-touch Attribution (MTA) to evaluate and iteratively optimize the performance of our marketing efforts
Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value measurement and optimizing customer acquisition costs
Establish curated dashboards and reporting that will serve as the primary source by which we evaluate the performance of our growth efforts
Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings
Build and deploy machine learning and statistical models such as Customer Lifetime Value, Segmentation, time-series forecasting end to end through scoping, researching, prototyping, and productionizing with tools such as Git, Sagemaker, dbt, Robyn
Key Qualifications:
10+ years of experience in a Data Science role
Demonstrated ability to influence product roadmaps and business decisions with data
Proven expertise in building and improving marketing attribution models, including techniques such as Bayesian methods for hierarchical modeling, ridge regression, and methods for handling missing data
Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques
Experience with relational databases and SQL
Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences
Expert with statistical analysis in either R or Python
Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience
Experience in writing production-quality code in R or Python and delivering software tools in an iterative fashion using software engineering best practices around version control, review, and automated testing
More about Philo
We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users.
Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content!
We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers.
Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E.
Status: Full-timeLocation: San Francisco, CA or remoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
Full health, dental and vision coverage for you and your family
Flexible working hours
Generous paid parental leave
Unlimited paid time off for vacation and sick leave
$2000 annual vacation bonus (we pay you to take a two week vacation)
$5250 annually for professional development and educational assistance
$1250 annual home office + TV stipend
$500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices
Dog-friendly office
And much more!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
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Senior Data Scientist Experience With Media Mix Modeling | Civis Analytics |
What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
Job Description
Are you interested in using data science to solve new and challenging problems in innovative ways — like helping a media conglomerate measure the impact of their marketing and advertising campaigns to optimize investments across a wide range of media channels? Civis Analytics is looking for a Sr. Applied Data Scientist to join our commercial Applied Data Science (ADS) practice and help us solve some of the most challenging and interesting questions facing Media businesses today.
The Applied Data Science team is the advisory arm of Civis Analytics, working closely with organizations to help solve their toughest challenges with data science. Our Media sector practice provides data science solutions for media conglomerates, nonprofits, and advocacy groups seeking to leverage media-mix-modeling to reach their target audiences in the most effective way.
Responsibilities
A Senior ADS runs the end-to-end execution of client engagements utilizing data science, which includes:
Handling client relationships and communication on day-to-day projects and initiatives, with stakeholders of varying technical experience or familiarity with methods
Leading and structuring project research design, including statistical analysis, modeling techniques, and data management methods, and working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions
Managing the unification of large 1st- and 3rd-party datasets, and building predictive models
Translating findings into clear, actionable, and timely insights with the appropriate business context
As part of the Media sector practice:
Work closely with Applied Data Science teams to develop performance measurement reporting and media mix modeling to demonstrate the impact of cross channel activities through media
Influence and collaborate on channel-level media strategies based on marketing, audience, and consumer insights.
Collaborates with stakeholders and leadership to ensure that the most effective channel mix is implemented to achieve our customer’s strategic business priorities
Other job responsibilities include:
Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Assisting with new business development by scoping projects, writing proposals, and building case studies and other collateral
Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages
Teaching and mentoring more junior Applied Data Scientists
Qualifications
Must have experience with Media or Marketing Mix Modeling
Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
6+ years of work or post-graduate experience in a field of analytical science
Proven success in using data insights and analytics to inform audiences, markets, and targeting to optimize campaign performance and drive acquisition
Experience in designing and analyzing in-market survey research
Understanding of online and offline media planning to define and rationalize the best channel mix to maximize the reach and impact against different audiences
Shown affinity for and experience working with large or messy data sets
Proficiency with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
Proficiency with presentation or data visualization software, such as Microsoft PPT, Tableau, Shiny, etc.
Excellent interpersonal and communication skills
US work authorization
Preferred Qualifications
Experience framing and communicating analytical results to stakeholders at a variety of levels
SQL experience
Experience working in a consulting or advisory function
Experience mentoring more junior members of a team
Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with software development tools and practices (Git, code review, etc.) Competencies
Experience in designing and analyzing in-market survey research
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review.
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.
Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected].
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
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Principal Machine Learning Data 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.
Are you a Data Science practitioner with a deep toolset who values helping partners scope business problems and provide analytic solutions? Do you relish the opportunity to dive headfirst into projects and contribute to an analytics ecosystem and lead optimization across the business? If so, this role is for you!
As a Principal Data Scientist on our Customer Support Services team, you will partner with important business domains, focusing on some of the most exciting challenges Atlassian faces.
Some examples of what you'll be doing:
Work with a team to improve efficiency in a scaling customer support environment, bringing analytic capabilities and insights to bearBuild operationally improving machine learning solutions including automation, predictive models, segmentation, anomaly detection, and optimization toolsWork with large amount of text and customer engagement data to help build scalable analytic solutionsWork with Software Engineering teams to build ML micro-services to integrate analytic solutions into business processesForecast important outcomes to the business using different predictive capabilities and help guide better decision makingPromote ML adoption and usage in an operational businessMeasure the growth of ML and AI applications on results.Develop partnerships with business and operations leaders
Some skills and tools you'll use are:
DS: NLP, Classification, Anomaly Detection, EconometricsMLE: API Integration ,Feature Engineering, Model Lifecycle ManagementAnalytics: Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurementTools: Python, SQL, Tableau, ExcelCollaboration: Confluence, Jira
More about you:
You've been working in Machine Learning/ Data Science for 8+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative fields.Technical skills including best practices for operational Machine Learning Development and ServingExperience delivering value through data science, measuring impact, and right sizing solutions.Familiarity with Data Engineering and Software Engineering best practicesYou have experience building business improving Machine Learning Models and experience using data to guide efficiency in a business operationsYou have experience driving analytic projects, engaging with non-technical partners, and leading projectsTo keep pace with our growth you enjoy learning new things quickly. You can take an ambiguous assignment and deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and light-weight tests to prioritize how to propel complicated problems.You are someone who likes to mentor less experienced analysts.You love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.You combine curiosity with critical thinking and like asking "why" to unravel a seemingly complex problem and get to the cause.You're a senior 'pillar of the team' with business acuity, analytics expertise and the ability to up-skill those around you.When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward.
More About our team:
We are a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other always to improve our work and ask hard questions. We're direct and demand excellence, but there's laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We're constantly learning new things.
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Principal Data Scientist | Alight |
Our story
At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.”
It’s why we’re so driven to connect passion with purpose. Our team’s expertise in human insights and cloud technology, gives companies and employees around the world the ability to power confident decisions, for life.
With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work.
Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight.
Learn more at careers.alight.com
The Role
The Artificial Intelligence & Machine Learning (AIML) foundation team of Alight is looking for a qualified data scientist with Natural Language Processing (NLP) experience. We are looking for someone to analyze large amounts of raw text data to find patterns that will help improve our company and the solutions we provide to our clients. We will rely on you to build data products to extract valuable business insights. In this role, it is essential you are highly analytical, a critical thinker and a problem solver with a passion for machine learning. We’re a small team so you’ll need to be comfortable taking your ideas from theory into deployment. You will need to understand the business opportunities, then understand, collect and prepare data for modeling, and finally build, evaluate and operationalize the models.
Key Characteristics
Strong understanding of general AI/ML/DL concepts including but not limited to supervised, unsupervised and reinforcement learningProven experience building, deploying and monitoring production models using NLP TechniquesSelf-driven and comfortable working without detailed direction - sometimes you’ll have to build the path yourselfAble to identify and solve problems on your ownStrong presentation and communication skillsIntellectually curious with an ability to focus on what matters to the businessDetail oriented
Education, Knowledge, Experience
3+ years building robust machine learning models in a production environment, understanding how to write production-ready code.Analytical mind-set – problem solving through analytical techniques that meet the rigorous standards of the data science industry.3+ years’ experience in Python/R and Machine Learning (decision trees, multivariate and logistic regression, kNN, kMeans, NLP, Neural Networks etc.).3+ year’s of experience with NLP and deep learning5+ years’ experience in data analysis, applied statistics or econometrics in a business environment with large-scale, complex data-sets.GPT-3 or open AI experience is a plus.Strong communicator – articulating the commercial value of data and analytics to senior stakeholders/clients (internal & external) through data visualization and storytelling.Inquisitive – ability to dig into new and challenging datasets, uncovering pertinent and business relevant information.Experience in AWS Sagemaker StudioExperience with Spark and Spark-MLExpertise with Python, SQL, R and other leading programming and statistical applicationsExperience working with and manipulating large data sets, including Big Data tools and platforms (e.g. Hadoop)MS/PhD in a quantitative discipline
#LI-remote
We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
New York Equal Pay for Equal Work Act Statement.Pay Transparency Statement in compliance with the Colorado Equal Pay for Equal Work Act, the New York City pay transparency ordinance, and any other similar laws or ordinances:Alight takes into consideration a candidate’s experience, education, certification/credentials, market data, and internal equity when determining an offer for a successful employment candidate, and Alight does so on an individualized, non-discriminatory basis. Therefore, an offer may fall anywhere in between the estimated minimum base salary for this role of $113,800.00/year (for full time employees) and the estimated maximum base salary for this role of $253,700.00/year (for full time employees). In addition to a base salary, this position may be bonus eligible. Alight also offers a comprehensive benefits package; for specific details on our benefits package, please visit: https://bit.ly/Alight-Benefits-US22
DISCLAIMER:
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
Alight Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, pregnancy, childbirth or related medical condition, veteran, marital, parental, citizenship, or domestic partner status, or any other status protected by applicable national, federal, state or local law. Alight Solutions is committed to a diverse workforce and is an affirmative action employer.
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Senior Data Scientist | Alight |
Our story
At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.”
It’s why we’re so driven to connect passion with purpose. Our team’s expertise in human insights and cloud technology, gives companies and employees around the world the ability to power confident decisions, for life.
With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work.
Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight.
Learn more at careers.alight.com
Job SummaryAs a Senior Data Scientist, you will be a senior member of the Data Science team, reporting to the data science leader in Alight Retiree Health Solutions. You will develop and deploy advanced analytical/machine learning/AI solutions under the guidance of managing team members to directly address business needs. Using Python, R, and/or other languages, you will design and implement predictive/machine learning models in a cloud-based environment for data sets that may be complex, large-scale, and/or longitudinal. You will interact directly with business owners and design solutions and models while mentoring more junior members.
Primary Job Responsibilities:• Partner with business owners and clients to identify ML objectives and criteria to solve business objectives to increase revenue, reduce costs, and improve consumer value• Lead the design, development, and deployment of advanced ML models• Collaborate with data engineering team on data pipelines• Acquire and prepare data ingestion, splitting, exploration, feature selection, and feature engineering to solve business objectives• Develop advanced ML models and perform necessary model training, validating, and testing to perform model evaluation with business recommendations• Partner with ML Ops to productionize ML models and set monitoring and maintenance plan• Translate and simplify results for presentation to business stakeholders, partners, and clients• Work in collaboration with data consultants, data scientists, functional leaders, and external parties• Design visualization tools and reporting automation to communicate end-results to targeted users.
You Bring Knowledge and Expertise – Required Experience:• Degree in Statistics, Mathematics, Econometrics, Actuarial Science, Computer Science or other related fields (MS is preferred).• 4+ years of experience with key modeling and analytic techniques (e.g., decision trees, multivariable logistic regression, kNN, kMeans, NLP, Neural Networks), as well as the ability to implement and deploy using one of the common open-source systems (R, Python, Scala, etc.).• Experience in data cleaning, exploratory analysis, feature engineering• Experience with deploying advanced models (e.g., Deep Learning, NLP, multivariable time series regression, Markov chains, Bayesian models)• Proficient in R, Python, SQL• Experience with data visualization tool such as ggplot, Tableau is a plus• Good communication skills, both oral and in writing• Good organization and time management skills; ability to work independently
By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent with Alight’s employment policies. Background checks may include some or all the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, credit check, and/or drug test. You will be notified during the hiring process which checks are required by the position.
Our commitment to Diversity and Inclusion
Alight believes diversity should be visible, valued, and sustained throughout the organization. And we’re committed to enabling an inclusive culture of belonging that engages all colleagues and grows the diversity of our talent to proudly represent the clients and communities we serve.
As an affirmative action employer, we adhere to the principles of equal employment opportunity in the workplace as defined in our diversity policy statement.
Diversity Policy Statement
Alight does not discriminate against anyone based on sex, gender, race, color, religion, creed, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, marital or domestic partner status, citizenship, military or veteran status, sexual orientation, gender, gender identity or expression, genetic information, or any other legally protected characteristics or conduct covered by federal, state or local law. In addition, we take affirmative action to employ and advance in employment qualified minorities, women, disabled persons, disabled veterans and other covered veterans.
Alight provides reasonable accommodations to the known limitations of otherwise qualified employees and applicants for employment with disabilities and sincerely held religious beliefs, practices and observances, unless doing so would result in undue hardship. Applicants for employment may request a reasonable accommodation/modification by contacting his/her recruiter.
Authorization to work in the Employing Country
Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Alight.
Note, this job description does not restrict management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
#LI-Remote p&tjobs
We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
Pay Transparency Statement: Alight takes into consideration a candidate’s experience, education, certification/credentials, market data, internal equity, and geography when determining an offer for a successful employment candidate, and Alight does so on an individualized, non-discriminatory basis. Therefore, an offer may fall anywhere between the estimated minimum base salary for this role of $82,000.00/year (for full time employees) and the estimated maximum base salary for this role of $202,900.00/year (for full time employees). In addition to a base salary, this position may be eligible for a bonus and/or other incentive plans. Alight also offers a comprehensive benefits package; for specific details on our benefits package, please visit: https://careers.alight.com/us/en/alight-us-benefits-2023
DISCLAIMER:
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
Alight Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, pregnancy, childbirth or related medical condition, veteran, marital, parental, citizenship, or domestic partner status, or any other status protected by applicable national, federal, state or local law. Alight Solutions is committed to a diverse workforce and is an affirmative action employer.
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Data Scientist I Product Analytics | Oscar |
Hi, we're Oscar. We're hiring a Data Scientist I to join our Product Analytics team.
Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
+Oscar is Oscar’s software platform and Campaign Builder is a tool that providers, payers, and partners use to engage with their members and customers. The Data Scientist I, Product Analytics will play a critical role in developing the data pipeline management and reporting infrastructure for +Oscar Campaign Builder clients. Additionally, they’ll partner with the Customer Success function to conduct outcomes analytics and reporting based on client needs and interest.
Campaign Builder is an engagement and automation platform that enables scalable, personalized interventions and automates workflows to drive growth, manage risk, and optimize admin operations. Built for non-technical users, risk bearing entities can use the tool to build “campaigns” that deliver interventions with multiple touch points over time to drive behavior change. The solution has been a key differentiator for +Oscar clients and we’re excited about bringing the technology to more users nationwide.
You will report into a Senior Data Scientist. This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote
The potential base pay for this role is: $115,360-$151,410 per year. You are also eligible for employee benefits, company equity grants and annual performance bonuses.
Applicants must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.
Responsibilities:
Help establish and maintain strategic +Oscar Modular Solutions roadmap for the Data team
Work with key stakeholders to strategize, implement, and manage the productization of data science models related to Campaign Builder
Assist with the evaluation of the financial impact of campaigns with both external and internal audiences
Requirements gathering for data pipeline management and reporting infrastructure build out and enhancement; includes obtaining regular stakeholder and end-user input
Help establish success metrics for projects and work with business to track and communicate metrics through dashboards and metrics
Requirements:
A bachelor's degree and 2+ years of relevant work experience OR a master’s degree in a quantitative field and 1+ years of relevant work experience
Experience working with and building data models using common tools like Python or SQL
Experience with product analytics
Experience managing projects and partners across the organization with the ability to visualize a process, identify and resolve bottlenecks
Bonus Points:
Knowledge of or previous work experience in health care, health economics, or health insurance
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives..
Pay Transparency:
Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.
Full-time employees are eligible for benefits including: medical, dental, and vision benefits, paid holidays, paid vacation and sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team ([email protected]) to make the need for an accommodation known.
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Director Of Data Science Portfolio Management | Mission Lane |
You’ll be a successful Director of Data Science on our Data Science Team if:
You have experience applying data science to credit risk management and are excited to optimize a multi-billion dollar portfolio that’s growing every day
You want to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
You make your team better on a daily basis because you can be clear about goals, the team’s shared purpose, and need to execute through education, organization, and trust
You can grow members of your team because you can help them identify their strengths and weaknesses, put them in a position to succeed, and get them the training and opportunities they need.
You have a deep understanding of the field of data science and can develop and communicate a vision to your team on how the field can be applied to solve difficult practical problems
You’ve created, deployed, and managed experiments and models in production systems and can genuinely speak to practitioners about the fundamental principles and challenges required to be successful in that work
You are more motivated by practical solutions than theoretical elegance
You can communicate, collaborate, compromise, and be sensitive to the needs of your partners and teammates
We are offering:
A low-ego, respectful, data science team committed to solving practical problems together
The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
Flexible work hours and flexible work location (even after the pandemic)
A generous parental leave policy
Excellent opportunities for career growth, with both management and technical tracks for advancement
A team that values learning and approaches work with a “growth mindset”
A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)
You might be particularly excited about the role if you want:
To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification
If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.
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Senior Data Scientist | The Public Health Company |
We are seeking a Head of Data Science to lead our Data Science efforts in building a scalable intelligence layer for our company.
ROLE DESCRIPTION
In this role, we are seeking a highly skilled and experienced Senior Data Scientist with expertise in weather or climate modeling, geo-spatial data analysis, or risk management to join our team. The ideal candidate will be responsible for developing and implementing data-driven solutions that forecast impacts of environmental threats and help customers identify moments when action is needed to protect their assets.
Responsibilities include:
Understand existing models and data in the market;
Develop, implement, and evaluate advanced algorithms and statistical models for biorisk data analysis, including weather and climate data
Collaborate with cross-functional teams, including data engineers and software developers, to design, develop, and deploy data-driven solutions for biorisk management
Collaborate with Subject Matter Experts on the development, maintenance and improvement of models and algorithms.
Conduct research on new and emerging data science techniques and methodologies and recommend best practices to the team
Write, document and maintain testing code in Python, R, Pyspark, and SQL
Support engineering in the production of standardized, scalable models & pipelines.
Highly collaborative team work
In addition, this role will be responsible for other ad-hoc duties as assigned.
REQUIREMENTS
Bachelor’s degree and at least 8 years of Data science methods including predictive modeling, data cleaning and manipulation, and OR
Strong knowledge of statistical analysis, data visualization, and machine learning algorithms
Experience with GIS and geospatial data analysis
Excellent written and oral communication skills, including the ability to present complex technical findings to non-technical stakeholders.
Strong programming skills in Python or R and experience writing production-quality, maintainable code.
Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform.
WHO WE ARE
PHC is a startup company, with the attendant excitement, energy, and opportunity for growth that a startup environment entails. The team supports remote-first employment and candidates from anywhere in the US are welcome to apply.
COMPENSATION AND BENEFITS
Total compensation includes salary and stock option grants. The salary range for this position is between $150k to 215k, and individual pay is determined by job-related skills, experience, and relevant education or training. PHC offers a comprehensive benefits package including medical, dental and vision insurance, wellbeing offerings, 401K, unlimited PTO, paid holidays, and a work from home stipend. PHC covers 100% of medical premiums for employees and 50% of medical premiums for dependents.
The Public Health Company is proud to be an Equal Opportunity Employer.
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Head Of Data | Calendly |
About the team & opportunity
What’s so great about working on Calendly’s Engineering team?
We make things possible for our customers through impactful innovation.
As Head of Data, you will guide the design and implementation of a multi-disciplinary data team comprising data architecture, data engineering, machine learning and data science to form the foundation of business and product intelligence for Calendly. This role leads the teams in the creation, support, and evolution of the cloud technology underpinning a hyper-growth SaaS solution. In partnership with development, product, and business partners, you own the data structures, models, and ecosystem of services that inform business strategy, improve our understanding of our customers, and enable an intelligent product experience. Your team strives for excellence in flexibility, scalability and security of Calendly’s greatest untapped asset!
A day in the life of Head of Data at Calendly
Aligned with a fast growing and data-driven organization, you will educate the company with tailored data marts and models that provide a deeper understanding of the key business metrics, trends, and underlying factors. This critical role aligns with leaders across Product, Sales, CX, HR, and Marketing to support and implement high-quality, data-driven solutions and surface valuable, innovative insights to end users while ensuring data accuracy and consistency. In a highly collaborative environment where collegial sparring is key to the best ideas, you are encouraged to use your creativity and passion to accomplish the company’s goals.
On a typical day, you will be working on:
Recruit, train, develop and own our data platform and machine learning mission to enhance business knowledge and define opportunities for end user insights
Partner with Finance, Sales, Marketing, Product and CX departments to prioritize use cases, design data marts, and surface services that drive growth opportunities
Define, architect, evangelize and govern enterprise data flows, data model and data standards that are critical to understanding and measuring key Calendly business drivers
Enable business model evolution by defining, designing and governing the data and systems that provide user-based telemetry and online experimentation like AB testing
Design, build, and evolve machine learning and artificial intelligence capabilities that will benefit internal customers and Calendly's end users
Anticipate future needs in people and technology to ensure the data ecosystem solves the needs of the present while growing to enable additional value creation in the future
What do we need from you?
12+ years of experience across data science, machine learning, and data architecture design and implementation in cloud-based systems
5+ years of experience as a people-manager for data and/or engineering teams
Keen understanding and experience aligning cross-functional Executives and teams, both in writing and orally, to deliver strategic plans and business value
Agile, engineering competence with the people leadership skills to mentor team members in appropriate methodologies, communication style, and technical solutions needed
Bachelor’s degree in computer science or related engineering field, PhD preferred, along with academic or hands-on experience in machine learning and AI
Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time
What’s in it for you?
Millions of people already rely on Calendly’s products, and we’re still in the midst of our growth curve — it’s a phenomenal time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider joining Calendly and growing your professional career.
Our Hiring Process:
Typically, individuals will participate in the following interview process. However, there may be slight nuances given the role and or department we are hiring for. Please keep in mind that individuals can be declined from the position at any stage of the process.
Qualified individuals will be invited to schedule a phone interview with a member of our recruiting team. This is a great time to ask any initial questions you have about the company or the role.
Next, we’ll put you in direct contact with your manager. You’ll get a chance to learn even more about life at Calendly, the responsibilities within your role, and the qualities needed to succeed here.
Then, you will perform an interview exercise, where you can highlight your skills.
Next, or in parallel, you’ll meet with your potential team members.
Finally, we connect with those you’ve worked with before, to learn more about the impact you can make, the value you bring, and the best way to set you up for success at Calendly.
We aim to provide an inclusive and equitable experience to everyone who expresses interest in working at Calendly. The recruiter assigned to this role will keep you informed every step of the way. Have questions? Let your recruiter know! Want to share your experience? We are passionately committed to improving and building on our process, and we consider feedback a gift.
If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at [email protected].
Calendly is registered as an employer in many, but not all, states. If you are located in Hawaii or Alaska, you will not be eligible for employment.
Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection
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Lead Data Scientist Deep Learning | Tiger Analytics |
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a robust Senior Data Scientist preferably, with a Ph.D. who holds solid knowledge of reinforcement learning, deep learning, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools. Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science experience with Reinforcement Learning, Deep Learning, knowledge in AI, and DL modeling coding capability as this person needs to make designs happen. Strong statistics foundation and knowledge of statistical packages. Proficiency with Python and SQL and ability to write complex Python codes and SQL queries. A solid knowledge of deep learning, quick learner, and a strong coding capability. This person will be responsible for writing complex production-level codes. Hands-on experience building models is a must. Experience with supply chain/retail forecasting is a must. Exceptional communication and collaboration skills to understand business partner needs and deliver solutions. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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Data Scientist Analytics Senior And Junior | Blue Rose Research |
Blue Rose Research develops a wide range of cutting-edge products used by the most important progressive organizations in the country. Our research informs short-term and long-term strategy for advancing progressive causes and has a trusted track record among key decision makers.
The team has a storied history, and has worked with central players to develop strategy and direct hundreds of millions of dollars of resources. The work produced by Blue Rose Research is widely regarded as among the most technically sophisticated in the space. If you join us, you’ll be plugging into a diverse team of engineers, data scientists, and political analysts, who are closely connected to some of the most important decision makers in the progressive ecosystem.
We are looking for a data scientist with a focus in analytics to work at the intersection of modeling and analysis, supporting internal stakeholders in delivering guidance to key clients this election cycle. Collaborating with our interdisciplinary team, this role will utilize technical and analytical skills to turn our modeled outputs into insights, conduct analysis based on questions from political strategists, and help automate actionable takeaways on our data.
We’re a fast and dynamic team, and you’ll be contributing to innovative work that evolves week by week. We’re looking for you to bring your passion for data analytics, a strong attention to detail, and a desire to make a big impact — sometimes under tight timelines.
We offer a competitive salary, medical, dental, and health benefits, and a work environment that will support your differences. While the work is remote, we do have an office in NYC and a number of folks who work in-person regularly – both in NYC and at shared workspace meetups in DC. Most of our work happens on East Coast time.
This job posting is for both Senior and Junior-level roles.
You will:
Help build out a suite of analytics pipelines to take modeled outputs and produce automated reporting on public opinion and voter behavior at a rapid cadence.
Build clear data visualizations in R to communicate our modeled results to less technical audiences.
Analyze data using regressions and other statistical concepts to answer questions from political strategists and clients.
Deliver actionable guidance to important internal stakeholders, helping them understand nuances of the model output.
Build subject matter context and think critically about our data in order to discern real trends versus potential bugs to flag for our machine learning data scientists.
Use and provide product feedback on existing infrastructure to engineers and machine learning data scientists
Contribute new ideas to the ways we analyze, interpret, and communicate our data – we strive to deliver the best strategic guidance and believe that everyone on the team is part of that goal.
Qualified candidates ideally have:
Experience with SQL and relational databases. Can quickly orient themselves to a new dataset, perform exploratory analysis, spot data quality issues, and justify decisions about how to handle imperfect data.
A strong R programming background, or significant experience in python and a willingness to learn R.
Used Github or other version control tools
A desire to work in multi-disciplinary teams with engineers, machine learning data scientists, statisticians and political experts. Is excited about working with less-technical stakeholders and seeing how their work impacts real-world decision making.
Experience pulling insights from data, building a story around them, and creating effective visualizations to communicate those findings (in ggplot, matplotlib, or similar).
Has strong oral and written communication skills, especially in a remote environment
Is solutions-oriented, has strong attention to detail, and is a creative thinker who isn’t daunted by open-ended research questions.
Is a kind person and a team player who contributes to a warm working environment.
In addition to the above, candidates eligible for a Senior role ideally have:
3+ years of professional data science or data analytics experience, or two election cycles in data analytics or similar role
Experience with applied statistics and predictive modeling. Understanding of how modeling works and could describe the basics to a non-technical person.
Experience contributing to R or python packages and a knack for writing reusable and efficient code
Project management experience – including breaking down large tasks into smaller ones
Strong problem solving skills, with an ability to proactively identify challenges and propose solutions
A strong aptitude for identifying key takeaways from a dataset and producing client-ready deliverables that clearly communicate these findings
Extra points if you have:
Demonstrated experience leading a cross-functional team to complete a larger-scale project
Experience designing, building, and owning production-level analytics pipelines using real-world data
Experience working with the voterfile
Willingness to engage with the wider progressive political ecosystem and develop domain knowledge in addition to technical insight
Interest or experience in mentoring more junior team members
We don’t expect every applicant to have expertise in every area listed above. We encourage you to apply if you don’t feel your experience and background sound like a perfect fit. Many of our team members have taken an unusual path to get to where they are today, and our unique and diverse perspectives make us more effective. We also believe strongly in our team’s ability to learn and excel at new skills and challenges. Join us!
The salary range for this position is $90,000 - $150,000 annually, commensurate with experience.
Candidates must be authorized to work lawfully in the United States.
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Lead Data Scientist | Life360 |
Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.
About Life360
At Life360, we’re on a mission to simplify safety so families can live fully. Everyday more than 50 million members across 195 countries trust us to protect and connect their loved ones at home, on the road, and on the go.
From real-time location updates to keep everyone coordinated, to Crash Detection and 24/7 Roadside Assistance, Life360 is designed to free families from everyday worries. Our range of Driving Safety, Digital Safety, Location Safety, and Personal Safety features are there to keep our members safe every step of the way.
Life360 has more than 500 (and growing!) remote-first employees.
In 2021, Life360 acquired Tile, the pioneer in finding technology, and Jiobit, one of the top real-time location monitoring platforms for families. These expanded offerings mark an important step forward towards achieving our vision of being the world's leading platform for people, pets and things.
We value having a diverse and inclusive community from many backgrounds, so even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!
About The Team
The mission of the data science team is to increase the value of our location-based safety solutions by optimizing and enhancing the user experience and creating new growth opportunities. As part of the product organization, we work closely with product managers, marketing, analytics, finance, engineering, and other cross-functional partners. This team is small and lean, always looking for and delivering the highest ROI.
About the Job
Life360 is seeking a Lead Data Scientist who is able to help our company grow by solving real-world problems in a fast-paced environment. Your expertise in data analysis, machine learning, and statistical modeling will drive key insights and recommendations, enhance the user experience, increase product efficiency, and continuously evolve our safety solutions. You will provide subject matter expertise and thought leadership, build relationships with key stakeholders, identify and understand opportunities (both internal and external), and develop new insights, product features, and scalable services using data from our mobile, cloud, and third-party platforms. You’ll be a critical part of the entire project lifecycle from concept, requirements, and design to rapid prototyping, production, and hypothesis testing.
The salary range for this position is $157,500 to $205,000. We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
What You’ll Do
Data Analysis and Modeling: Utilize your expertise in data exploration, statistical analysis, optimization, anomaly detection, and machine learning to derive actionable insights from vast datasets, including user behavior patterns from historical location data.
Algorithm Development: Design, develop, and implement machine learning algorithms and predictive models to optimize and enhance our safety products, such as smart notifications, emergency response, and location tracking.
Product Improvement: Collaborate with cross-functional teams, including product managers, engineers, and designers, to integrate data-driven solutions into our products, driving continuous improvement in performance and user experience.
Hypothesis Testing: Conduct rigorous experimentation and A/B testing to evaluate the impact of new features, algorithms, and improvements, guiding data-driven decision-making processes.
Data Visualization and Communication: Present complex analyses and insights in a clear and compelling manner to both technical and non-technical stakeholders, ensuring data-driven decisions are effectively communicated and understood.
Data Integrity and Governance: Ensure data quality, accuracy, and consistency by identifying potential issues and working closely with data engineering teams to maintain high-quality data pipelines.
Research and Innovation: Stay up-to-date with the latest advancements in data science and machine learning, bringing innovative ideas and best practices to the team and the company.
What We’re Looking For
Bachelor’s in data science, computer science, statistics, or related field
Proven experience (5+ years) as a Data Scientist, working on complex projects and large datasets
Experience with geospatial data and mobile location-based services is highly desirable.
Strong problem-solving skills and the ability to tackle open-ended, challenging, data-related problems
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
Proven track record of successfully delivering data-driven insights and solutions that have a significant impact on product and business decisions
Python, including Pandas and Scikit-learn
SQL and Spark
Amazon Web Services (S3, Athena, Glue, Lambda, SageMaker, etc.)
Our Benefits
Competitive pay and benefits
Medical, dental, vision, life and disability insurance plans (100% paid for employees)
401(k) plan with company matching program
Mental Wellness Program & Employee Assistance Program (EAP) for mental well being
Flexible PTO, 13 company wide days off throughout the year & paid Holiday Shutdown
Learning & Development programs
Equipment, tools, and reimbursement support for a productive remote environment
Free Life360 Platinum Membership for your preferred circle
Free Tile Products
Life360 Values
Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference
Be a Good Person - We have a team of high integrity people you can trust.
Be Direct With Respect - We communicate directly, even when it’s hard.
Members Over Metrics - We focus on building an exceptional experience for families.
High Intensity High Impact - We do whatever it takes to get the job done.
Our Commitment to Diversity
We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
#LI-Remote
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Senior Data Scientist Business Analytics | Thumbtack |
About the Business Analytics Team
The Business Analytics team’s mission is to unlock strategic opportunities and enable Thumbtack to achieve its full business potential. To accomplish this mission, we focus on:
Business performance: Metrics, dashboards, and forums that help us measure progress towards our goals and foster deep understanding of our business.
Strategic insights: Analytics to uncover insights that will be game-changers for our business, and that inform company strategy and team execution.
Telling Thumbtack’s story: Using metrics and data visualization to tell Thumbtack’s story to investors, board members, our team, and the world.
Building a world-class team: hiring the best, and investing in coaching, learning, and team building.
We are a tight-knit group that is passionate about driving business impact through data science and analytics.
Responsibilities
Define, measure, and track the key metrics that measure Thumbtack’s success
Design and build key company data tables, dashboards, and insights tools that power decisions across the company, and evolve them as our product and business change
Conduct in-depth analyses to answer key questions that are critical to Thumbtack’s strategy
Support and improve company revenue forecasting model, and forecasting/planning process
Partner effectively with teams across the company, including Product, Engineering, Marketing, Operations, Finance, as well as Thumbtack’s leadership team
Contribute to our team and company data culture through peer collaboration, training, coaching, and more
What you'll need
If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
BA/BS degree, preferably in Economics, Business, Math, Statistics, or Computer Science
4+ years of experience in a highly analytical role, preferably with experience in tech analytics
Proficiency using SQL to analyze large data sets
Exemplary analytical problem solving skills, including solid statistics foundation, strong business judgment, and the ability to identify and synthesize insights from analysis
Ability to work with company executives to understand the company’s business needs and drive decisions
Strong communicator, attentive listener, and compelling explainer
Bonus points if you have
Experience working in a marketplace business
Experience with R or Python
Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines. Learn more about our virtual-first working model here. #LI-Remote
For candidates living in San Francisco / Bay Area, New York City, or Seattle metros, the expected salary range for the role is currently $139,500 - $170,500. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.
For candidates living in all other US locations, the expected salary range for this role is currently $118,575 - $144,925. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.
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Data Analyst Scientist Us Remote | Motorola |
Company OverviewAt Motorola Solutions, we believe that everything starts with safety. It’s the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class.As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways.At Motorola Solutions, we’re ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.
Department Overview
Motorola Solutions is a world leader in the field of professional mobile communications systems with an impressive heritage of technological innovations and a global base of installed systems. The group's main business is the implementation of mission-critical digital mobile communication systems for Government & Public Safety Communications customers.As a part of the Data Analytics team within the North America - Project Management Office (NA-PMO), you will be partnering with Motorola Solutions’ field organizations, finance, and Information Technology (IT) teams to initiate and support data-informed decision making in the underlying business.
Job DescriptionNote: Preferred candidate will reside in Northern IL, but position is open to remote work in any US state with access to major airport for necessary travel. The preference for the candidate is to be located in EST or CST.Responsibilities:
Perform report and dashboard development to support various stakeholders such as finance, IT and sales teams
Dashboard creation / visualization using Tableau and Data extraction from Amazon Redshift using SQL
Perform predictive modeling and forecasting using R and Tableau
Design, extract and integrate data components from multiple sources such as Amazon Redshift, Kissflow
Drive and track adoption of dashboards and reports to measure success; iterate as needed
Detailed data validation to ensure directional accuracy
Server license management and data access enablement as well as data visualization support
Manage, update and document processes, websites, and training documentation.
Drive the development of and deliver training on data sources/tools to enhance the end users’ ability to analyze the business
Ensure the delivery of complex data required to support the needs of predictive Modeling and Analytics
Perform rigorous testing and post-validation publishing of reports
Required Skills:
Excellent data visualization skills
Experience creating dashboard reporting in Tableau is a must for this position
Experience using Tableau, SQL, R, and Power BI are required for this role
Additional Preferred skills
Programming skills in SQL, R and/or Python.
Thorough understanding of data modeling and ETL processes.
Expert user of Microsoft Excel, Google Sheets and Access. Experience with designing, configuring, automating custom reports in these programs.
Excellent oral and written communication skills.
Extremely detail-oriented and organized with a high level of commitment and follow-through.
Ability to manage multiple priorities in a fast-paced, ever-changing environment.
A motivated self-starter who can work both autonomously and collaboratively.
Exceptional problem solving, critical thinking, and project management skills with the capacity and anticipation to adjust based on shifting deadlines and moving priorities.
Note: Preferred candidate will reside in Northern IL, but position is open to remote work in any US state with access to major airport for necessary travel. The preference for the candidate is to be located in EST or CST.
Basic Requirements
Bachelor’s Degree (Computer Science, Engineering, Math, Statistics or similar preferred) and 1-3+ years of data analytics and reporting experience or similar
OR 4 + years of data analytics and reporting experience or similar
Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.
Travel RequirementsUnder 10%
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanNoOur U.S. Benefits include:
Incentive Bonus Plans
Medical, Dental, Vision benefits
401K with Company Match
9 Paid Holidays
Generous Paid Time Off Packages
Employee Stock Purchase Plan
Paid Parental & Family Leave
and more!
EEO StatementMotorola Solutions is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or, any other protected characteristic.
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Director Of User And Safety Data Science | Discord |
What you'll be doing
Develop a strategy that improves our understanding of user behavior through novel instrumentation, metric design, experimentation, and strategic analysis
Inform company and product strategies to broaden & deepen Discord’s appeal by partnering with senior leaders across the company
Lead a high performance team of teams, coaching and growing managers and data scientists while encouraging a culture of ownership, strategic impact, and proactive engagement
Build strong relationships across the company to establish yourself as the primary owner of user understanding, guide strategic planning, and inform decision-making
What you should have
You have 5+ years of experience as a people leader & 2+ years of experience managing managers
You have 3+ years of analytics experience in two or more of the following, in the context of a large-scale consumer-facing user product: user lifecycle, user growth, user experience, safety/integrity
You have technical proficiency in product analytics, self-service tooling (i.e. BI), and A/B testing
You excel in an ambiguous fast-paced environment and can provide principled solutions within short timeframes, either directly or through your teams
You are as comfortable debating and influencing VPs & the C-suite as you are exploring data and creating a high-quality dashboard
You are insatiably curious and driven. You want to understand not just what is happening, but why it is happening - and use a hypothesis-driven approach to do so
You have strong project management skills, with experience bringing Data Science, Data Engineering, and cross-functional partners together to deliver practical and impactful solutions
Bonus Points
Proficiency with BigQuery and/or Looker, with a keen eye towards performant SQL & clear, rich visualization
Experience working closely with qualitative research teams
Experience working with machine learning & data engineering teams
Passion for Discord
The US base salary range for this full-time position is $281,000 to $337,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
#buildbelonging #LI-JF1
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
14+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now
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Senior Data Scientist | Powerschool |
Overview
We are looking for a Senior Data Scientist to design and build out data science solutions to enable our AI-based products which use advanced knowledge of ML and engineering to accelerate innovation in K-12 education. The perfect candidate will have strong skills in machine learning, NLP, and statistics with a good understanding of applying Generative AI in various use cases, a proven track record of collaborating and iteratively implementing data-intensive solutions, strong operational skills to drive efficiency and speed, and effective project leadership. You will be a part of a fast-growing team. You will educate stakeholders, mentor team members, and have a significant stake in defining the future of our AI based products.
Responsibilities
Essential duties and responsibilities include the following. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Design, build, and maintain statistical, NLP, machine learning and deep learning models to solve problems in personalized learning, recommendation, better outcomes for students, teachers and education Work closely with machine learning and data engineers to build out machine learning and LLM driven AI solutions incrementally and securely Champion MLOps best practices Work closely with the product management and development teams to rapidly translate the understanding of customer data and requirements to product and solutions Brainstorm new ideas in K-12 education space and design POCs quickly
Maintain an excellent understanding of the business’s long-term goals and strategy and ensures that the design and architecture are aligned with these Research and experiment with emerging technologies, tools and use cases related to Generative AI and LLM Adhere to software engineering best practices including continuous delivery and version control
Nice to Have’s
Ability to deal with scenarios where there is lack of data and use case ambiguity especially related to new product or feature Ability to work with team members in different time zones globally Experience with various cloud tools (AWS and Azure tools) and models at scale Experience with Sagemaker pipeline or Sagemaker Projects
Experience in topic modeling, NER, probabilistic language models, transformer-based language models, LLM Experience working with Ethical values, Explainability, Bias/Sensitivity of AI
Qualifications
To be considered for and to perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required.
Qualifications include:
Nuanced understanding of modern Deep Learning language representation techniques with the ability to design and implement novel Deep Learning solutions Mastery of Tensorflow/Pytorch/Keras frameworks for implementing and optimizing deep learning algorithms for training quality and serving performance Exposure to industry, open source or academic research, particularly in deep learning, NLP and LLMs Deep understanding of many different quality metrics (MRR, F1, NDCG, Recall/Precision, etc.) and the tradeoffs of each with the ability to design ensemble metrics that correlate to business KPIs Strong algorithms, data structures, and coding background with primarily, Python or Java, C++, or Scala programming experience
Experience with software engineering standard methodologies (unit testing, code reviews, design document, continuous delivery) Ability to conceptualize and articulate ideas clearly and concisely A great team player who can bend his/her ways to help the team as needed Extensive experience with advanced AI/ML techniques concerning ranking, recommendation and personalization (e.g., natural networks/deep learning, reinforcement learning, A/B testing, Natural Language Processing, Generative AI, etc.) Experience with applying Reinforcement Learning in production scenarios is a plus.
Preferably PhD or Masters in Computer Science, Math, Physics, or other technical fields with 7+ years of experience
Compensation & Benefits
PowerSchool offers the following benefits:
Comprehensive Insurance Coverage (including Medical, Dental, Vision, Pharmacy benefits, Life Insurance and AD&D)
Flexible Spending Accounts and Health Savings Accounts
Short-Term Disability and Long-Term Disability
Comprehensive 401(k) plan
Generous Parental Leave
Unrestricted paid time off (known as Discretionary Time Off - DTO)
Paid Community and Volunteer Time Off (VTO)
Wellness Program, including ClassPass& Employee Assistance Program
Tuition Reimbursement
Optional Benefits: Pet Insurance, Identity Theft Protection, Student Debt Repayment Program and Prepaid Legal coverage
A reasonable estimate of the base compensation range for this position is $110,000 – $140,000. The compensation range is specific to the United States and incorporates many factors including but not limited to an applicant’s skills and prior relevant experience and training; licensures, degrees, and certifications; internal equity; internal pay ranges; and market data/range parameters.
EEO Commitment
PowerSchool is committed to a diverse and inclusive workplace. PowerSchool is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers PowerSchoolers to deliver the best results for our customers. We not only celebrate the diversity of our workforce, we celebrate the diverse ways we work. If you have a disability and need an accommodation regarding our recruiting process, please let us know by emailing [email protected].
#LI-RR1
#LI-REMOTE
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Staff Data Scientist Core Experience Analytics | Reddit |
Location: US remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are excited to bring a Staff Data Scientist to work with our Core Experience team! This team focuses on the user experience across Reddit’s main engagement and discovery surfaces. These include our feeds (home, popular, news, and others) where users find content from across the platform, and our post and video pages where users can dive into the conversations.
As the Staff Data Scientist embedded on the team, you will uncover insights on how users consume content and engage across these surfaces, and partner with product and engineering teams to drive impact from those insights through creating new features or modifying the existing user experience. You will be one of the most senior individual contributors on the team and will help lead all parts of the product lifecycle from setting strategy, driving execution, measuring results, and using learnings to inform future decisions. You will also work closely with data scientists from other pillars, including experimentation, feeds ranking, and growth to ensure our priorities and strategies are aligned with the broader organization.
Responsibilities:
Help build the long term product vision and strategy for feeds and post detail pages to simplify the user experience and enhance engagement.
Design and measure metrics that help evaluate the health of the business and the success of our products, including ETL development needed for consistent and robust analysis
Build self-serve tools for product and engineering partners that help scale data science impact and increase data literacy in the organization
Generate data-driven insights that propose next steps in strategic roadmaps
Design and evaluate experiments for product features to understand the effectiveness of product strategy
Work cross functionally with product, engineering, and design teams to ensure insights make it to the product
Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems
Required Qualifications:
Have proven experience in data science and/or product analytics roles (6 or more years)
Proficiency with relational databases (e.g., SQL)
Are familiar with statistical analysis and the preferred programming languages of the team (R / Python)
Have a strong customer and business focus
Entrepreneurial, self-directed, and enthusiastic about solving problems
Are comfortable in innovative and fast-paced environments, and have a bias toward action.
Can discuss complex topics with technical and non-technical audiences
Enjoy solving ambiguous and undefined problems
Benefits:
Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation (please use them!) & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off
#LI-Remote #LI-NH1
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Senior Director Data Science | New Relic |
Your opportunity
We are searching for a highly capable and experienced Senior Director of Data Science to lead our Analytics and Data Science team. Our preferred candidate will be a strong hands-on business and technical leader with a strong background in the areas of data analysis, programming and statistical modeling. As the Senior Director, you will play a critical role in helping our business make data-driven decisions, providing strategic leadership and demonstrating the power of data science to drive business performance, innovation, and growth.
What you'll do
Lead, inspire, and develop an impactful data science team through strong mentoring, coaching, and vision.Partner with business collaborators to understand their challenges, and design strategies and scalable solutions to tackle these challenges using data.Establish and implement end-to-end data science project goals and schedules.Build and maintain machine learning models, forecasting tools and algorithmsDeliver practical insights to business leadership through complex data analysis.Foster a culture of fast data driven experimentation and iterative learning.
This role requires
A master's degree in Statistics, Data Science, Computer Science, or a related quantitative field; a Ph.D. is preferred.A proven experience of 12+ years in a data science role, with at least 7 years of leadership experience.Strong understanding of machine learning models, data mining, and statistical theory.Experience with data science programming languages such as Python, RDeep knowledge of SQL and experience with big data tools and platforms such as Databricks, Snowflake etc.Proven experience implementing and scaling data science capabilities in an organization.Exceptional skills in problem-solving, project management, and team leadership.Excellent oral and written communication skills with the ability to present complex statistical concepts to non-technical collaborators.
Bonus points if you have
Ph.D. in Statistics, Data Science, Computer Science, or a related field.Prior experience in the field of ObservabilityExperience in the field of observability Track record of developing and productionalizing data products
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Senior Data Scientist | New Relic |
Your opportunity
We are seeking an experienced and dynamic Senior Data Scientist to join our team. This is an exciting role! You will be primarily responsible for driving data science focused projects and will redefine ambiguous business problems into clear, concrete insights as well as productionalizing insights. Our ideal candidate is adept at understanding the business needs that are often quantitatively ambiguous and using large complex data sets to find opportunities for product optimization.
What you'll do
Analyzing complex datasets, applying statistical methods as necessary (e.g., time series forecasting, classification, linear/logistic regression).Designing and deploying data-science and technology-based algorithmic solutions to address business needs.Collaborating effectively with internal collaborators, understanding their needs and being able to communicate data-driven recommendations.
This role requires
5+ years proven experience as a Data Scientist, or in a similar role.PhD or Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field. (PhD preferred)Strong understanding and application of advanced statistical techniques and concepts, including but not limited to machine learning algorithms, classification, regression, and time series analysis.Proficiency with data analysis tools and languages ( Python, R, SQL) and with data visualization tools (e.g., Looker, Tableau, PowerBI, etc.).Strong problem-solving abilities, intuition for business, and excellent communication skills.Ability to work independently and with minimal direction.Shown ability in handling and delivering on multiple, contending priorities.Prior experience with managing collaborators and ability to present complex data in a clear manner to non-technical audience.
Bonus points if you have
Proven track record to translate business needs into data science / analytical initiatives.Experience in Observability is a plus
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Fellow Principal Software Engineer Data Scientist | New Relic |
Your opportunity
As a Fellow Engineer at New Relic, you will play a crucial role in exploring new innovations and performing proof of concepts to enhance our AI and machine learning solutions for optimizing and automating IT operations. You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of New Relic’s AIOps platform.
What you'll do
Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on New Relic’s AIOps platform.Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations.Design, develop, and maintain AIOps solutions that can monitor and analyze IT data in real time, predict incidents, and automate responses.Develop and implement machine learning models for anomaly detection, root cause analysis, leveraging both supervised and unsupervised learning techniques.Implement data processing pipelines that can handle petabytes of data in real-time, leveraging technologies such as Apache Kafka, Apache Flink, and Apache Spark.Develop and maintain custom integrations with third-party IT tools and systems to enhance the AIOps platform’s capabilities.Monitor the AIOps platform’s performance and troubleshoot issues as they arise.Contribute to the documentation and knowledge base to help other teams understand and use the AIOps platform effectively.
What your playground will look like:
A constantly evolving architecture, with hundreds of containerized services across multiple agile teams.A hybrid datacenter/cloud environment ingesting over 200 petabytes of data per month, and accepting over 70 billion HTTP requests a day from our customers.Java, Kafka, Istio, Kubernetes, MySQL, Go and that’s just the beginning of the technologies in our stack.
This role requires
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, or a related field.A minimum of 10 years of software or data engineering experience 3+ years of experience designing and implementing AIOps solutions in a SaaS or cloud environment.Extensive experience in LLMs, AI, and machine learning, with a deep understanding of relevant technologies and tools.Demonstrated experience building AI proof-of-conceptsStrong understanding of Observability and the challenges associated with monitoring complex distributed systems.Experience with generative AI techniques, such as GANs and VAEs, and a track record of applying them in practical settings.Passion for continuous learning and staying up-to-date with the latest trends and technologies in the AI and Observability industries.Strong collaboration skills and ability to work effectively with cross-functional teams.Proven track record of delivering results and meeting or exceeding business objectives.Strong written and verbal communication skills.
Bonus points if you have
Experience with big data technologies such as Apache Kafka, Apache Flink, and Apache Spark.Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
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Lead Data Scientist | The Clorox Company |
At Clorox, we champion people to be well and thrive by doing the right thing, putting people at the center, and playing to win. Led by our IGNITE strategy, we build brands that make a positive difference in people’s lives around the world. And we know that success requires head, heart, AND guts — all three, every day — coming together to work simpler, faster, bolder, and more inclusively. Interested? Join us to #IgniteYourCareer!
Your role at Clorox:
Clorox is undergoing a remarkable transformation in its data and technology capabilities and culture to propel purpose-driven business growth. We are searching for a dynamic leader to spearhead this endeavor, someone who can construct and integrate innovative predictive data science solutions into pivotal decision-making moments. This visionary individual will enhance the everyday experiences of our employees, customers, and consumers, while also enabling faster informed decisions, streamlined operations, and the exploration of new value streams.
In this role, you will:
Lead the implementation of AI/ML-based modeling engines to drive advanced integrated business planning capability
Partner with cross-functional business teams, Data Architecture and Engineering to design, develop, and deploy AI/ML models to deliver highly interpretable forecasts and productionize the capability across all business units based on ML Ops processTranslate requirements into necessary technologies and development plan, guide the application of leading AI/ML practices in building and deploying scalable business solutionsDirect a team of data scientists and ML engineers to navigate, collaborate, and deliver production-grade code in a complex industrialized code baseOversee implementation, testing, and post-production maintenance of AI/ML modelsManage project timeline and achieve milestones
Elevate Enterprise Data Science capabilities
Monitor external data science trends, identify opportunities and implications, and proactively develop best-in-class processes and techniques to leverage data science across consumer touchpoints and business operationsPartner with business and functional stakeholders to ideate, define, and prioritize high impact data science use cases and initiatives for the CompanyPromote data science adoption across the Company through training, events, and consulting
Coach and develop enterprise and functional data science talents
Attract, develop, and retain Enterprise Data Science team members; Coordinate data science talent management across functions, including career pathing, capability planning, and collaborative talent planningLead a team of Data Scientists, manage their capacity deployment, oversee the output from their work in terms of content, quality, and timeline, establish and steer collective and individual performance objectivesProvide guidance to data scientists on analytical and modeling choices to support their day-to-day activities
What we look for:
10 plus years of experience in business-facing data science and analytics roles3 plus years as an established leader of data science teams that successfully delivered data-driven solutions and in production settings (This role REQUIRES experience managing direct reports.)Demonstrated ability to establish vision and strategy and lead implementationTrack record of delivering analytics products and insights, and influencing business decisionsAbility to provide technical leadership across a variety of capabilities for business applications and commercial experience in building machine learning models in production settingsDeep understanding and experience with advanced statistics, time series forecasting, machine-learning models, and model architecture design & execution; experience in optimization / operations research is a plusDeep hands-on experience in building machine-learning models and ML Ops processes in a business contextExperience in building modern data science pipelines and deploying them to cloud environments, including data pipelines that ETL data from multiple sourcesProven experience supervising others developing industrialized data & modeling pipelinesExpertise with open-source data science and statistics packages, including machine learning and deep learning frameworks (TensorFlow, PyTorch, Scikit-Learn, Pandas, statsmodels, etc.)Proficiency in SQL and Python required; Pyspark / R / Scala a plusKnowledge of standard SDLC process and DevOps including version-control (Github/svn) and CI/CDExperience working with cloud and big data ecosystems (Azure/GCP/AWS, Spark, Hive, DataBricks)Experience using visualization tools (Power BI, Tableau, etc.) is a plusKnowledge of demand forecasting and supply chain operations is a plusExcellent communications skills: Ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; Ability to convey insight through storytellingSelf-starter comfortable with ambiguity: Problem solver; Able to identify needs, develop a plan of action, and implement; Excellent time and project management skillsStrong interpersonal, relationship building, and influence skillsDemonstrated ability to attract, hire, coach, and inspire talentMaster’s or PhD degree in Data Science, Computer Science, Statistics, or related quantitative discipline. Specialization or coursework in Data Science / ML / AI preferred
Workplace type:
Hybrid
We seek out and celebrate diverse backgrounds and experiences. We’re looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning.
At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here.
[U.S.]Additional Information:
At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility / adoption benefits, and more.
We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area.
–Zone A: $138,100 - $277,400
–Zone B: $126,600 - $254,300
–Zone C: $115,100 - $231,200
All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process.
This job is also eligible for participation in Clorox’s incentive plans, subject to the terms of the applicable plan documents and policies.
Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times.
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Senior Data Scientist | College Board |
Technology Department, Data Science Team100% RemoteThe Team:The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small, tight-knit, self-organized team of 6 Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.The Opportunity: As a Data Scientist you will work with several product teams and other Technologists on a largely independent endeavor to track, understand, and tell the story of users as they come to our products. You will share much of your work directly with the CIO and Chief Architect. You bring a portfolio of skills that allows you to work with a variety of data sources, clean and munge data with varying levels of structure, perform analyses to derive insights, and communicate clearly through data visualization, writing and presenting. Your ability to understand the data and the concerns and narratives around that data put people at ease and allow you to address concerns head on. You are passionate about understanding stakeholders and leveraging data to support their needs. You relish the opportunity to bring your ideas, love of coding, data savviness, and business acumen to answer tricky questions.In this role, you will: Perform data exploration, analysis, and prototyping (80%)
Ingest new data streams and integrate them with existing sources to deepen insights.
Perform thorough exploratory data analysis and raise new questions.
Create insights from existing data and drive the collection of new data.
Independently manage and complete all the work needed to deliver small-sized applications and analyses on time and at a very high level of quality.
Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations.
Create reproducible, documented analyses and models that lend themselves to automation.
Build tools that are used daily by those concerned with our users and their ability to access our products.
Communications & Stakeholder Engagement (20%)
Assist in the identification and resolution of production issues.
Independently learn about stakeholder concerns and observations.
Communicate findings and assist stakeholders in interpretation of data and analyses.
Share reports and tools that allow stakeholders to self-serve data and analyses related to recurring questions.
About you, you have
Ideally a Master’s in a quantitative discipline or computer science, OR a bachelor’s and 1-2 years related experience, OR 3+ years related experience OR a great story to tell.
Programming expertise in Python (Preferred) or R (with an interest in Python).
Experience in data and statistical analysis, with a strong ability to interpret stakeholder concerns into analytical questions.
Experience with SQL and NoSQL databases.
A passion for solving difficult problems creatively.
Excellent communication and listening skills including helping others understand both problems and solutions.
Strong data visualization skill and the ability to tell a story with data.
Comfortable working with stakeholders across teams with a passion for helping your colleagues succeed.
Some experience with operationalizing data science tools, such as dashboards, or models.
Authorization to work in the United States without sponsorship.
Our Benefits & Compensation: College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.
Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more.
We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions.
We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The salary range for a new employee in this position is $144,000 - $157,000. The salary offer of an individual candidate within this range is specific to their location and qualifications.
Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate’s location. You will have an opportunity to discuss salary in more detail after you begin the application process.
As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive!
About Us:
We are motivated to positively impact the educational and career trajectories of millions of students a year
We prioritize building a diverse and inclusive team where every employee can thrive, and every voice is heard
We value learning and growth; we offer formal and informal ways to lead through your superpowers, sharpen your strengths, and meet your development goals
Our high-performing engineers work with the latest technologies, so you will be constantly learning and sharpening your skills, enabling you to be industry-forward instead of left behind technologically
#LI-TheAcorn#LI-Remote
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Sr Data Scientist | Qventus |
The Company
Did you know there is over $1 trillion of waste every year in healthcare? One of the biggest contributors to the staggering amount of waste is inefficient operations. If you’ve ever spent hours waiting in the ER; if a hospitalized family member experienced a delayed discharge; if you’ve had to schedule a surgical procedure far into the future due to lack of available Operating Room time — then you understand the kinds of problems we solve.
Our mission is to simplify how healthcare operates. We partner with health systems to automate care operations — all of the operational activities involved in delivering care, from discharge planning, to OR access, to patient flow, and more. Our software combines AI, machine learning, and behavioral science to power best-practice solutions for settings across the hospital and system. Solving those problems not only benefits patients, but it also eases the burden on physicians and nurses, and drives significant economic value for hospitals as well.
We work with leading health systems, academic medical centers, and community hospitals across the country. We’ve raised over $95M in funding from some of healthcare’s leading investors, including Thomas H. Lee Partners, Bessemer Venture Partners, Norwest Ventures Partners, Mayfield Fund, and more. We’ve also been recognized by Fast Company’s 2022 World Changing Ideas Awards, The Robert Wood Johnson Foundation, CB Insights, and more.
Are you interested in simplifying how healthcare operates? Then join our amazing, mission-driven team and help health systems discover world-class operations that are essential to delivering world-class care.
The role
Qventus is looking for Senior Data Scientists to help lead the next generation of Qventus’s AI in our Perioperative solution. You’ll join a cross-functional team of clinicians, data scientists, data platformer engineers, and product experts to help support optimized surgical scheduling and operations to get patients the right care faster and more efficiently across the country.
As a Senior Data Scientist at Qventus, you will have the opportunity to explore Qventus’ unique and rich Healthcare dataset to develop cutting edge solutions leveraging a wide range of machine learning, statistical, and other mathematical optimizations. You will evaluate potential modeling approaches, build features together with data platform engineering partners, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML solutions to boost Qventus intelligence and outcomes. You should be strongly motivated to have an impact in the company and dedicated to helping improve the quality of healthcare and patient outcomes. What we do can meaningfully change, and in some cases save, lives.
Core Responsibilities
Solve operational challenges in healthcare through the development, operationalization, and tuning of impactful machine learning and other mathematicalCollaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areasDesign comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settingsCreate tools and resources to improve transparency into Data Science technical architecture and increase collaboration with engineering and analytics partners.
Key Qualifications
4+ years of relative industry experience developing, launching, and iterating on machine learning models and/or developing the core data science platform.Proven ability to work with domain experts to develop and tailor algorithmic solutions to problems in healthcare, particularly in the inpatient or perioperative settings Functional knowledge of at least one scripting language (Python preferred) and SQLDedication to mentorship and growing strong collaborative data science teamsStrong cross-functional communication with technical and non-technical partners
Nice to Have
5+ years research experience using a wide variety of statistical and machine learning techniques - particularly in operations research modeling, incl. MILP, Constraint Programming, etc.Excellent SQL - hands on experience manipulating data sets, data cleaning, and pipelinesStrong software development foundations - dedication to high code quality, stable architecture and an eye towards maintainability.Experience with healthcare data and industryPractical hands on experience with:Natural Language Processing or Understanding techniques and productionalizationDeep Learning modeling techniques and infrastructureEcosystem of data platform technologies such as: AWS Services (RDS, ECS/EKS, Lambda, S3), DBT, Snowflake, DatabricksData analytics tools (Looker preferred)Master’s degree in Computer Science, Engineering, or related field, or equivalent training / experience
We consider several factors when determining compensation, including location, experience, and other job-related factors.
Salary Range: $150,000 to $179,000 annually + equity + benefits- Qventus expects to hire for this position near the middle of the range. Only in truly rare or exceptional circumstances where a candidate's experience, credentials, or expertise far exceed those required or expected will we consider and offer at the top of the salary range.
Qventus offers a competitive benefits package including medical, dental, vision, paid time off, company holidays, and a stock option plan.
Qventus is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/
This position does not provide visa sponsorship.
Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
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Pharmacy Data Scientist R | Rite Aid |
Company
Job Type
Full time
Requisition
JR002678
Last Updated
2023-07-24
Department
Pharmacy Services
Job Locations
Remote- United States
Job Summary
The Pharmacy Data scientist will play a critical role in Rite Aid's strategic transformation across a wide array of Strategic initiatives that support the Company's RxEvolution, with initial focus on pharmacy and Market access initiatives. The individual will work directly with the Vice President Pharmacy services on Rite Aid's most high-profile projects, including defining, scoping, strategy development and implementation. The role will serve as internal consultant, supporting key strategic initiatives and will be responsible for making detailed assessments and recommendations, with initial focus on Pharmacy adherence, market access, PBM initiatives, and clinical service opportunities to grow and transform our business. Frequent independent judgments are essential. The incumbent is also required to perform all tasks in observance of Rite Aid’s brand and strategy and adhere to our core values and service attributes.
Job Responsibilities
Build the statistical model to identify trends within the data and mange data to uncover solutions to business problems.Work independently to oversee multiple projects simultaneously and be responsible for contributing to and collaborating to develop business solutions.Define, lead and execute a broad array of initiatives with responsibility for creating a data-driven retail activation programs that support key business objectives, grow customer acquisitions, increase brand engagement and generate incremental retail sales.Deep understanding of competitive retail environment, deriving insights, innovation, consumer trends, and identify white space opportunities for competitive advantage. Uncover innovation, research best practices and create horizon plans to accelerate omni-channel retail experience.Use independent judgment to identify trends and make business recommendation based on findingsUtilize data visualization skills to create impactful presentations that clearly communicate insights for any level of the organizationAct as a strategic thought partner to the business teams; including Pharmacy operations, Clinical operations, Market Access, Medication adherence, and performance based programs. Leverage first-and third-party data to proactively uncover and amplify the most actionable insights
qualifications
• Bachelor’s Degree in Arts/Sciences (BA/BS) Data Science or other related required.
• 3 years of experience in Data analytics, which includes creating algorithm and data models to forecast outcomes required.• 2 years of experience in Building statistical models and using machine learning techniques with large data set required.• Background in retail customer value proposition and/or healthcare; Experience working with retail data, market condition analysis preferred.• Experience utilizing programming language such SQL, python, R and or SAS required.• Ability to conduct high level presentation and communicate recommendation to stakeholders required.
“The typical starting pay range for this position is between ($66,500 - $100,000), although wages can vary based on experience and geography."
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Fair Chance Act
Fair Chance Act Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the California Fair Chance Act, we will consider qualified applicants with a criminal history. You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if we identify a conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. Find out more about the Fair Chance Act by visiting the Civil Right’s Department Fair Chance Act webpage.
For more detailed information around city/state required notices, click here to access a list of disclosures.
New Jersey Law Against Discrimination (LAD)
The New Jersey Law Against Discrimination (LAD) prohibits unlawful employment discrimination based on an individual's race, creed, color, national origin, nationality, ancestry, age, sex (including pregnancy), familial status, marital/civil union status, religion, domestic partnership status, affectional or sexual orientation, gender identity and expression, atypical hereditary cellular or blood trait, genetic information, liability for military service, and mental or physical disability (including perceived disability, and AIDS and HIV status).
Apply Today
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Senior Principal Data Scientist | Vericast |
Company Description
Vericast is a premier marketing solutions company that accelerates profitable revenue growth for the thousands of businesses it serves directly by influencing consumer purchasing and transaction behavior at scale while engaging with over 120 million households daily. We are recognized as leading providers of incentives, advertising, marketing services, transaction solutions, customer data and cross-channel campaign management, and intelligent media delivery that create millions of customer touch points annually for their clients. For more information, visit http://www.vericast.com or follow Vericast on LinkedIn.
Job Description
Seeking a highly skilled and accomplished Senior Principal Data Scientist to join our team, making a significant impact in the dynamic world of data science and digital media. We are looking for a talented individual who brings deep insights and expertise in all aspects of data science and digital media. This is an opportunity for someone who has earned a stellar reputation in the field and is passionate about applying their knowledge to design, conduct, and analyze large-scale data from diverse sources.
As a technical leader, you will play a pivotal role in shaping data analyses and strategies, contributing to the development of cutting-edge data science, digital media, and data engineering systems, as well as end-to-end applications and platforms. Your proficiency in data science algorithms, artificial intelligence, and underlying technologies will be crucial in driving innovation and excellence.
Collaboration is key, and you will have the chance to work closely with cross-functional teams, guiding and providing technical expertise in data science areas. Your ability to communicate effectively will foster seamless cooperation between team members from various disciplines.
Key Duties and Responsibilities
Use state of the art computational and statistical methods for exploratory data analysis (EDA) to find patterns, anomalies, and deliver insights from very large data sets.Design and run experiments, conduct research into new algorithms, improve data quality and identify key insights.Work with product teams as an individual contributor and/or a technical leader to significantly contribute to data analyses and strategies, design and implementation of current (or future) versions (or multiple concurrently developed versions) of large-scale data science, digital media, data engineering systems, and end-to-end applications.Be a subject matter expert in data science (ML/AI) algorithms and underlying technologies (programming languages, systems, platforms)Define and shape the data needed for training ML models for a wide variety of cases and scenarios.Leverage existing data to track and analyze user behaviors and engagements for productive modeling.Work with third party vendors to design and develop end-to-end data solutions and/or to integrate their data into the company’s products.Evaluate new technologies and data products to determine feasibility and desirability of incorporating new capabilities within the company's software systems and applications.Frequently serve as technical data science and digital media lead for large cross-team projects, determining implementation tasks, tradeoffs, milestones, and assigning tasks to other team members on multiple teams.
Qualifications
Education
Master's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required)Doctorate Degree (Preferred)In lieu of the above education requirements, a combination of experience and education will be considered when appropriate.
Experience
10+ years Relevant Experience (Required)
Knowledge/Skills/Abilities
There’s never a single right way to solve a problem. We’ve found a variety of backgrounds to be highly successful including specialties in Econometrics, Graph Theory, and Computational Sciences. If you’re a creative problem solver, your background will be valued.Prior experience in digital marketing technology and the desire to keep up with industry trends is a major plus.Strong technical proficiency in machine learning algorithms, scalable machine learning platforms, languages, and tools (Python, Spark) in a corporate setting.Desire to produce impactful solutions with broad influence while collaborating with other Data Scientists and Engineers.Ability to communicate effectively across multi-disciplinary teams (e.g., data science, engineering, and product management).
Additional Information
Salary: $215,000-235,000
The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.
Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and flexible PTO. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!
At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [email protected]. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.
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Data Scientist | Flock Safety |
Who is Flock?
Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society.
Our Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere. Our technology detects and captures objective details, decodes evidence in real-time, and delivers investigative leads into the hands of those who matter.
While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised over $380M in venture capital including a recent Series E round led by Tiger Global. Now surpassing a 3B valuation, Flock is scaling intentionally and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.
Additional Information
How To Succeed at Flock Video
Flock’s Series E Announcement
How We Stop Crime and Protect Privacy
Flock’s Framework
Ethics Center
The Role
Flock is looking for a passionate Ops Data Scientist to explore, mine, and build data, and leverage it using advanced analytical techniques to help drive critical business decisions.
How you’ll make an impact:
Perform analyses on large datasets using statistical and AI techniques to derive insights
Design and build seamless decision support tools that leverage advanced analytical techniques
Understand and augment key data sources to be leveraged in decision making
Work with teams from across the business to execute on data and analytics needs to help them better understand tactical and strategic opportunities
We’re looking for people who have:
BS/MS in Computer Science, Mathematics, Statistics, Engineering or related field, or equivalent industry experience
3+ years proven experience as a data scientist, ML engineer, or BI engineer
Strong experience using Python and its core AI/ML/OR packages
Strong SQL and data processing skills
Experience modeling data to drive analytics
Experience in Tableau
Ability to communicate and drive for solutions to complex and abstract problems
Effectively communicate, and seek to understand and be understood
Feeling uneasy that you haven’t ticked every box? That’s okay; we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.
Our Values
Our values define how we approach our work every single day:
Do the Work
Optimism With a Plan
Embrace Change to Grow
Protect the Whole Community
To read more about our values click here.
Why Join Us?
While being surrounded by a bunch of cool people working to eliminate crime is its own reward, we have plenty more to offer:
We have raised over $380M in venture capital and are backed by some of the top VCs including a16z, Tiger Global, Meritech and more
91% of our employees recommend working here
We have an audacious goal of reducing crime in the United States by 25% over the next three years
3% of crimes in the US are solved by Flock, and we help to solve ~200 crimes a day
We partner with 2100+ cities and 1500+ agencies across the US and process 1.1B+ images a week (we process more images than Instagram 🤯)
The Perks
💰Salary & Equity: In this role, you’ll receive a starting salary of $155,000-$175,000 as well as stock options
🌴Use what you need PTO: We seriously mean it, plus 11 company holidays and your birthday off!
⚕️Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.
👪Family Leave: We provide 16 weeks of 100% paid leave for primary caregivers and 12 weeks of 100% paid leave for secondary caregivers.
🍼Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. We will reimburse $10,000 a year for adoption, surrogacy, or infertility.
🧠Mental Health: All employees receive an annual subscription to Headspace
💖Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support
💸Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.
💻WFH Stipend: $150 per month to cover the costs of working from home.
📚L&D Stipend: $250 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more.
🏠Home Office Stipend: A one-time $750 to help you create your dream office.
🏢Coworking Space: If you’re not local to our ATL HQ, we’ll provide $250 a month to get you set up with an All Access Membership to WeWork (or a local coworking space in your area).
🐾Pet Insurance: We’ve partnered with Pumpkin to provide insurance for our employee’s fur babies.
Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
If you need assistance or an accommodation due to a disability, please email us at [email protected]. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.
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Data Scientist Analytics | Overstock |
We Are Overstock:At Overstock.com, we believe that everyone should “Be You!”. Overstock is a community that upholds a culture of understanding, acceptance, and respect. We believe a person’s individuality is at the core of diversity, and those traits, beliefs, and characteristics should be valued and embraced. Living by this ethos is essential to the success of our business. Our goal is to foster a more diverse environment where every employee visibly demonstrates inclusive behaviors and respect for individuals.This position is eligible for remote work. Currently we can hire employees in the following states: Arizona, California, Connecticut, Florida, Idaho, Kansas, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Dakota, Texas, Utah, Washington, Wisconsin, Wyoming. This role will have occasional on site expectations.This influential position supports Overstock's internal search team in extracting insights and trends from Overstock's product search engine. Search is a significant component of Overstock's service and impacts many internal organizations, thus tracking the performance of the search engine and communicating results is the key responsibility of this role; your job will inform many departments on what is working and what isn't – hypothesis testing and statistical modeling will be crucial in supporting your work. Additionally, finding actionable insights is an important responsibility of this role. The analyst will also be responsible for impact analysis on concepts such as product conversion and search engine performance, as well as creating and measuring specific performance metrics. An ideal candidate will have a strong background in manipulating and analyzing large, unstructured data sets, the ability to scrub data and identify noise, as well as possessing excellent abilities in expressing results through data visualization and synopsis.Job Responsibilities
Hypothesis Testing and the analysis of results
Time Series Analysis
Determine pain points in search effecting customer experience
Obtain, join, scrub, explore, model, and interpret large datasets
Transform and manipulate large dataset to suit the desired analysis
Create reports on user trends, user behavior and product engagement
Data cleaning
Summarizing and presenting data insights to the internal search team, analytics group, and upper management
Perform other duties as required and assigned by manager and upper management.
Follow legal policies as directed.
Job RequirementsRequiredo 1-3 years of relevant work experienceo Strong intellectual curiosity combined with a knack for recognizing correlations and trendso Experience with relational databases and SQLo Experience with data access BI tools (ie Tableau, VI, Microstrategy)o Proven track record of hypothesis testing and statistical analyseso Basic understanding of HDFS and Website trackingo Experience reporting on user metricsPreferredo 3+ years relevant experienceo Experience in E-Commerceo Strong understanding of R, Python, SAS or Juliao Experience with Causal Inferenceo Natural Language Processing experienceSkills
Command of Microsoft Office applications, particularly Microsoft Excel
Experience with relational databases (SQL, Microsoft Access, etc.)
Familiarity with statistical data analysis (R,SAS, SPSS, Python, etc.)
Python or similar programing experience
Base Salary Range - $88,000 - $110,000EducationUndergraduate degree in Statistics, Mathematics, Marketing/Business Analytics or another related STEM fieldWho We Are:We’re a passionate group of collaborative problem solvers and creative innovators, working on cutting-edge technology. From building award-winning retail applications (with amazing AR functionality) to creating leading blockchain and machine learning technologies, each of us embodies a unique value and contributes a diverse perspective to the team.
What We Offer:
401k (6% match)
Flexible Schedules
Onsite Health Clinic
Tuition Reimbursement, Leadership Development Program, & Mentorship Program
Onsite Fitness Center
Overstock Women's Network (OWN)
And More…
*Benefits vary based on position, tenure, location, and employee electionPhysical Requirements:This position requires you to sit, stand and perform general office functions. You may also be required to lift up to 25 pounds occasionally. Bending, stooping and reaching are also frequently required.Equal Employment Opportunity:It is our policy to provide equal employment opportunity for all applicants and associates. This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.Back to Overstock Careers
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Senior Data Scientist | Karat |
Come join our Artificial Intelligence team
Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.
What you will do
As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data and providing actionable recommendations for innovative products we can build as we continue to grow and scale. Collaborating with a small team of Software Engineers, you will innovate on top of Karat’s own and external data, leverage cutting-edge AI technology like LLMs, carryout complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.
Karat’s HQ is based in Seattle, Washington, with employees distributed throughout the U.S, Canada, India, and United Kingdom. This position is only available in the United States, excluding Alaska and Hawaii. Immigration sponsorship is available for this position.
Contribute to Karat’s AI strategy and initiatives by creating a suite of AI product enhancements that will help to further establish Karat as a thought leader in AI for technical hiring.
Collaborate in close partnership with the broader data and engineering teams to increase the signal captured during technical interviews in order to maximize the product value provided to clients.
Prototype and build solutions to continuously scale our platform in order to serve a constantly increasing number of interviews with a flexible network.
Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
Nurture conversations within Karat by educating teammates about AI, data science and machine learning.
The experience you will bring
7+ years of tech industry experience in data science, machine learning, AI, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Experience with Python and related data science and machine learning libraries
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
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Director Of Artificial Intelligence | Karat |
Come join our AI team
Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictability, less bias, and previously unimaginable efficiency.
What you will do
As the Director of AI at Karat, you will drive innovation by extracting critical insights from our data and providing actionable recommendations for innovative products we can build into the Karat platform as we scale. Leading a small team of Engineers and Data Scientists, you will innovate on top of Karat’s own and external data, leverage cutting-edge AI technology like LLMs, carryout complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.
This role requires a proven track record of practical experience in developing and implementing data science and AI solutions, personally leading complex analytical projects, and getting involved in the technical aspects of data analysis.
Karat’s HQ is based in Seattle, Washington, with employees distributed throughout the U.S, Canada, India, and United Kingdom. This position is only available in the United States, excluding Alaska and Hawaii. Immigration sponsorship is available for this position.
Lead Karat’s AI strategy and initiatives by creating a suite of AI product enhancements and further establishing Karat as a thought leader in AI for technical hiring.
Work in close partnership with the broader data and engineering teams to increase the signal captured during technical interviews in order to maximize the product value provided to clients.
Partner with company leadership to optimize and build ways in which we can collect richer data about user interactions.
Prototype and build solutions to continuously scale our platform in order to serve a constantly increasing number of interviews with a flexible network.
Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
The experience you will bring
5+ years of leading teams and relevant data science and AI work experience.
Successful track record in leading teams that built AI and data science models and products.
Strong data analysis and scientific thinking skills with deep knowledge of statistics and rigorous analytical techniques.
A track record of personally designing and implementing advanced analytics models and solutions
History delivering insights and launching ML models that have provided high-value to the business.
Experience with machine learning, data science and modern data processing technologies.
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Senior Data Scientist | Coinbase |
At Coinbase, our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to ourmission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.
What you’ll be doing (ie. job duties):
Act as a strategic partner to functional teams: initiate and execute deep analyses and models to prioritize opportunities and provide actionable recommendations.
Design and guide experiments/analysis to measure impact and drive product improvements.
Measure business performance, develop / refine core metrics and create reporting to understand and monitor them.
Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives.
Conduct deep dives to help solve complex problems to drive impact for our business.
Initiate, develop, and maintain data pipelines with outstanding craftsmanship.
What we look for in you (ie. job requirements):
BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) with 5+ years relevant experience, or or PhD degree in a related field with + 2 years of relevant experience.
Ability to independently create plans for projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, ML, etc.).
Experience in data analyses using SQL.
Experience in at least one programming language (preferably Python).
Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Nice to haves:
Data engineering skills + a willingness to do lower level work to improve data foundations as needed.
ID: G2462
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
Pay Range:
$140,250—$206,000 USD
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
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Senior Data Scientist | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
This is a full-time position reporting to the Manager, Product Analytics. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in Mexico who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here.
What’s this team like at Etsy?
Data scientists at Etsy use rigorous methods to generate insights that inform product, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways
Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community
What does the day-to-day look like?
Partner with the Commit team, whose focus is motivating buyers to convert with relevant information at crucial moments in the customer journey.
Play a meaningful role in deciding how we can best engage and grow Etsy users through analysis of behavioral and transactional data.
Design and analyze rigorous experiments, help teams set great hypotheses, and deliver robust analysis of experiment results.
Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency, and clear documentation.
Raise the skill level of the entire analytics team through the creation of outstanding work, mentorship, and the introduction of better practices, processes, and tools.
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
4+ years experience as a data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.
Fluency in both English and Spanish
Mastery of SQL and proficiency in R/Python. Passionate to try new approaches to advance your technical skills. Bonus points for experience with Spark and Looker, Tableau, or other data visualization software.
Deep understanding of experimentation theory and practice.
Specialize in sophisticated analyses and regularly use statistical methods in your work
Distill highly complex problems into narratives that are concise, actionable, and memorable, and express your recommendations with both conviction and finesse.
Guided product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and driven decisions.
Passionate about reproducible work and have picked up tools to this end.
Acted as a mentor, guiding others to make their own work better and more efficient.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
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Lead Senior Data Scientist | Ust |
Lead/Senior Data Scientist
Data Scientist I
Who we are:
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.
UST is a mission-driven group of over 29,000+ practical problem solvers and creative thinkers in over 30+ countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.
With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.
Visit us at UST.com.
You Are:
UST is searching for a Lead/Senior Data Scientist who under supervision, will leverage data to arrive at business solutions and creates prototypes of the solution to define analytics roadmap for clients, thereby bringing in business to the organization.
The Opportunity:
Work with stakeholders and creates quick prototypes of the solution to define the analytics roadmap.
Work with business to understand the business domain and convert business problems into an analytics problem
Create or use existing frameworks to test and validate new models
Explain models and put results in easy to interpret manner such that a non-analytic person can understand
Turn data into information that can improve current workflow or processes that will help to make better business decisions. Generate business insights to help clients with decision-making.
Adhere to best practices of coding
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required
What you need:
Programming languages – Java/ Python/ R.
Web Services - Redshift, S3, Spark, DigitalOcean, etc.
Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Computing Tools - Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Database languages such as SQL, NoSQL
Analytical tools and languages such as SAS & Mahout.
Practical experience with ETL, data processing, etc.
Proficiency in MATLAB.
Data visualization software such as Tableau or Qlik.
Proficient in Mathematics and Calculations.
Spreadsheet tools such as Microsoft Excel or Google Sheets
DBMS
Operating Systems and software platforms
Knowledge about customer domain and about subdomain where the problem is solved
Proficient in at least 1 version control tool like git, bitbucket
Have experience working with project management tools like Jira
Data Science based high-performance application development knowledge is required.
NLP and Computer Vision tools and libraries – OpenCV, spaCY, Transformers, Attention models, etc.
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. As required by local law, UST provides a reasonable range of compensation for roles that may be hired in California, Colorado, New York City, or Washington as set forth below.
Role Location: Range of Starting Pay for Role
Remote: $129,000-$193,000
Our full-time, regular associates are eligible for 401K matching, and vacation accrual and are covered from day 1 for paid sick time, healthcare, dental, vision, life, and disability insurance benefits. Depending on the role, some associates may also be eligible for stock options.
What we believe:
We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the center of everything we do.
Humility:
We will listen, learn, be empathetic, and help selflessly in our interactions with everyone.
Humanity:
Through business, we will better the lives of those less fortunate than ourselves.
Integrity:
We honor our commitments and act with responsibility in all our relationships.
Equal Employment Opportunity Statement
UST is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.
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Data Scientist | Green Dot |
We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>> JOB DESCRIPTIONThis is an exciting opportunity to apply data science techniques and drive growth and revenue of Green Dot’s Business, Enterprise-wide. Our data science team works on several projects across the entire company including Churn Modelling and Customer Scoring for Marketing efforts, Revenue Prediction Modeling for Accounting and Finance and Cash Advance Customer Modeling for our Award-Winning Tax Products.We are looking for candidates who are passionate about leveraging data science techniques to solve business problems and supplying stakeholders with actionable insights/decisions. The ideal candidate must be a self-starter who is able to deliver high quality work within tight deadlines and potentially propose/develop innovative solutions as well. The candidate will be reporting to the Lead Data Scientist within our Data Analytics department.Job Responsibilities
Maintain and train existing business-critical models and support the Data Science team.
Develop and implement data science/advanced analytics enabled solutions to drive business outcomes and goals.
Own and deliver predictive modeling/analytics projects of small or moderate scope or manage tasks on complex data science projects.
Define, write queries, and extract and transform data sets to create features for modeling and/or generate actionable insights using various tools (SQL Server, Python, R)
Collaborate with other Data Scientists and Analytics teams across the Enterprise to help ensure a cohesive and strategic implementation of our data capabilities.
Identify meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.
Collaborate with business stakeholders as per project needs and communicate results of the models/analytical solutions developed).
Learn and grow in the role over time, utilizing the multitude of available resources (people and technologies) and become a strategic leader, helping to grow our Data Science capabilities.
Perform other duties as needed.
Job Requirements
Bachelor’s degree in a quantitative, technical, or financial discipline required. Masters in a similar field is a plus.
2 or more years of experience in data science or advanced analytics based on education/experience.
Solid understanding of data science and statistical modeling techniques such as classification, clustering, regression, decision trees etc.
Experience with Sagemaker, Lambda or other services for model deployment and monitoring.
Experience with various machine learning frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, neural networks, clustering, etc.
Proficiency writing SQL queries (i.e. Amazon Redshift, MS-SQL Server, etc.) and working with large data sets.
Experience using Python (required), other statistical tools (such as R) and AWS Sagemaker (preferred but not mandatory).
Experience developing and/or maintaining business reporting using business intelligence or reporting tools such as Excel, Tableau, MicroStrategy or similar tools.
Proactive work style, progressive thinking skills, strong work ethic, communication, and problem-solving skills.
Experience with Sagemaker, Lambda and other AWS services for model deployment and monitoring
Experience with various machine learning frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, neural networks, clustering, etc.
POSITION TYPERegular<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>>Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.
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Data Scientist | Actian |
eSimplicity is modern digital services company that delivers innovative federal and commercial IT solutions designed to improve the health and lives of millions of Americans while defending our national interests. Our solutions and services improve healthcare for millions of Americans, protect our borders, and defend our country on the battlefields supporting the Air Force, Space Force, and Navy.
eSimplicity's people-centric approach aims to transform the American healthcare experience through innovative technologies. Our team’s experience spans various federal civilian customers on diverse projects across its core competencies. Our priority is to safeguard our community by leading the government’s cloud migration, developing artificial intelligence models to identify fraudulent Medicare claims, and accelerating access to data and insights.
Requirement
The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) developing analytic rules and models using leading edge fraud analytic tools and best practices.
The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) of data management and advanced analytic techniques.
The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) using data sciences to detect and prevent fraud, waste, abuse, and mismanagement.
The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
The Data Scientist must have two (2) or more years of hands-on experience coding rules and models using open-source programming techniques and tools, including R and/or Python.
The Data Scientist must have two (2) or more years of hands-on experience creating rule-based statistical models using SAS and SQL. Strong oral and written skills are required.
The Data Scientist must demonstrate at least two (2) years of hands-on experience working with graph databases and topologies (e.g. nearest neighbor).
The Data Scientist must demonstrate at least two (2) years of hands-on experience building data pipelines.
It is the Government’s preference that the Data Scientist demonstrate at least two (2) years of hands-on experience using PowerBI.
It is the Government’s preference that the Data Scientist demonstrate at least two (2) years of hands-on experience using Azure cloud services.
eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager.
Occasional travel for training and project meetings. It is estimated to be less than 5% per year.
Benefits:
We offer highly competitive salary, full healthcare benefits, performance bonus, and a flexible leave policy.
Equal Employment Opportunity:
eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
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Data Scientist Insurance Modeling | 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.
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:
Analytics is responsible for aligning with and contributing to corporate growth and profitability objectives by providing expert guidance, influencing business strategies, executing flawlessly, and rigorously defending our work.
This position will work on the Modeling & Major Initiatives team as a part of the broader Auto & Home Analytics department. The Modeling & Major Initiatives team develops and maintains models used in ratemaking, economic analysis and underwriting. They also develop best practices and support enhancements to processes supporting major initiatives and the adaptation of models/major initiatives to state specific implementations. Data Scientists will utilize various statistical modeling techniques to support the creation of models, will educate business partners on the use of these models and will participate in innovative work to continually improve rating plan sophistication (such as the incorporation of telematics data) and decision-making support. The Auto & Home Analytics Department supports pricing of personal insurance lines of business utilizing accepted actuarial and statistical standards and methodologies. Data Scientists work closely with their Analytics Manager to support business goals. Support will be provided for those who seek the Certified Specialist in Predictive Analytics (CSPA) credential.
Key Responsibilities:
Uses best practices and traditional statistical/modeling techniques to develop and maintain rating, economic and other models as necessary and in consideration of the business goals of the model
Provide tools, educate and support state teams in the implementation of models and other decision-making support
Follows appropriate analyses to be conducted for projects to make recommendations to achieve corporate goals
With minimal direction plans, implements, manages, and/or contributes on projects that are up to moderate complexity and are small-to moderate scale using accepted project management standards
Forecasts short-term and long-term deliverables with assistance
Tracks own plan performance and project timeline and communicates and presents project status
Ensures project controls are in place throughout the lifecycle of the project within own tasks
Supports the development/ design of new plans, programs, processes, products up to moderate complexity
Assists in the development of communication strategies and materials to support new plans, programs, processes, products; solicits input from stakeholders
Participates in the evaluation of procedures and processes regularly and makes observations or suggests improvements
Contributes to market share growth and profitability by recommending changes to products, pricing, risk management
Understands standard market specific implications of business strategies
Assures proper execution of regulatory/legislative practices for Product Management
Understands and follows internal and external compliance requirements/standards
Trains/coaches team members or peers and actively shares expertise with peers
Job Qualifications
Bachelor’s degree – preferably in related field of study such as finance, math/applied math, statistics/applied statistics, economics
Proven insurance business knowledge – for example, understands economics of insurance, familiarity with personal lines ratemaking and rating plans, etc.
Several years of experience working in personal or commercial lines of insurance
Aptitude and strong interest in statistical modeling techniques such as linear regression, logistic regression, GLM, GAM, GBM, etc. – some modeling experience is helpful but not required
Standard knowledge in the use of data sources and applications to conduct research
Strong technical aptitude, such as programming experience with Python, R, SAS, or SQL required.
Working knowledge of insurance regulation and related business constraints
Has an understanding of current industry and professional standards/ environment to impact decisions and indicate requirements
Can analyze data and review analysis from others and identify and resolve basic data issues
Intermediate computer proficiency in Microsoft Office
Possesses working knowledge of policies and procedures in management or other technical fields
Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels
High level organizational and project management skills in order to handle multiple concurrent assignments in a timely manner and to monitor processes throughout a team or department
Strong decision-making skills
Works effectively in a team environment
Compensation offered for this role is and is based on experience and qualifications.
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.
#LI-JB1
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 | Solv |
Solv is a leading app that helps you get access to convenient, same-day and next-day healthcare. On Solv you can easily find a nearby care provider, schedule a visit and avoid a long wait. The app is powered by a network of doctors and clinics who run Solv’s software to deliver a modern patient experience for both in-person office visits and virtual visits online. This provider software makes running an on-demand healthcare practice easy–and keeps patients happy. More than 27 million visits and 7 million COVID tests have been booked through Solv. Learn more or book your appointment at SolvHealth.com.
We are looking for a Senior Data scientist to join our Data and Analytics team. In this role, you will be responsible for leveraging data to help drive the growth and success of our healthcare marketplace. The ideal candidate is a strong communicator, can operate independently with minimal guidance, has a growth mindset, collaborates effectively with others, and biases towards action.
Solv’s Data and Analytics team is focused on helping everyone make better decisions using data. Join a pioneering team that drives business impact from the ground up by identifying growth opportunities and crafting narratives that deepen our understanding of the business.
What you'll do:
Data analysis and story telling: You'll analyze large datasets related to patient behavior, healthcare provider performance, appointment scheduling, patient outcomes, and more. Extract valuable insights to understand drivers of success and identify opportunities for improvement. Craft clear and compelling narratives from data insights to inspire change.
Data visualization and reporting: Create and refine key metrics and visually compelling dashboards to communicate data insights to various stakeholders, including executives, product teams and healthcare providers.
Predictive Modeling: Utilize advanced analytics to forecast patient demand, provider availability, and optimize resource allocation. Help ensure the marketplace can efficiently match patients with available care providers, reducing wait times, and enhancing overall patient experience.
Event Tracking and Experimentation: Help us understand what leads to better user engagement and conversions in our product. Partner with product and developers to design, execute and evaluate A/B tests. Define key questions to answer and requirements for event tracking. Champion accuracy and reliability of event data by conducting quality checks, debugging tracking issues and validating data with business requirements.
You'll be great for this role if you:
have 4+ years of work experience involving quantitative data analysis and complex problem solving
have a degree in Economics, Physics, Statistics, Math, or other quantitative field (advanced degrees are a plus)
are experienced with statistical and machine learning methods to build descriptive and predictive models
are proficient in SQL and at least one programming language for data analysis (e.g. Python, R)
At Solv we celebrate difference. We are committed to ensuring an environment of mutual respect for every employee and proud to be an equal employment opportunity employer who does not discriminate against any person because of race, color, creed, religion, gender, gender identity, gender expression, national origin, citizenship, age, sex, sexual orientation, pregnancy, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. We believe a diverse and inclusive workplace is central to our success and actively seek to recruit, develop and retain the most talented people from a diverse pool of candidates.
While we appreciate candidate submissions, we do not accept submissions from contingency or retained search firms without a pre-existing agreement.
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Data Scientist | Loop |
Loop is in an unparalleled position to provide data to our merchants that no one else can replicate. Data will be at the core of everything we do and some of our most critical work as we grow. Our future is to create data-based products that use modern techniques to deliver data and invaluable insights. We're establishing the conditions to allow anyone to answer most of their business questions independently, and you'll contribute to the frameworks and culture that reward the effective utilization of data across the organization.
The Data Team is part of the Engineering department and is responsible for analytics, data platforms and data engineering, and data science. Our work mainly involves:
- Building enterprise-wide data models for on-demand, tactical, strategic, and self-service data analysis
- Maintaining, updating, and expanding the data platform
- Developing data products
- Conducting advanced analytics initiatives for internal and external users
As part of the Data Team, the Analytics Team works in a hybrid operational model performing analyses for specific business functions such as Marketing, Merchant Success, Product, and Finance. The data used in this work comes from dbt models curated by the Analytics Engineering team, and depending on scope, recurrence, and audience, results are usually shared using either Hex or Looker.
As a Data Scientist at Loop, you'll significantly impact our ability to solve merchant problems and fulfill merchant needs. Your work interpreting and synthesizing large-scale data and outputs will guide business decisions made by internal stakeholders at all levels. You will be successful in this role if you're self-motivated and can run projects independently while collaborating with team members and business stakeholders. Success in this role also includes partnering with stakeholders and deep diving into business problems while simplifying and communicating complex analyses into easily accessible and impactful terms in written and verbal formats.
Loop HQ is a state-of-the-art office located in Columbus, Ohio, and more than half of our team works remotely across the United States and Canada. You can join us in the Columbus office or stay fully remote in this role.
Our tech stack: Fivetran, dbt, Snowflake, Looker, Hex
What You'll Do:
Extract data from various sources, perform exploratory data analysis, and cleanse, massage, and aggregate data.
Develop quantitative analysis, tools, ad hoc reports, and models to support business decision-making.
Utilize statistical concepts and descriptive statistics to understand and describe relationships in data, adding confidence to our analysis.
Build predictive models and complex descriptive analytics, such as segmentations and hypothesis testing.
Partner with Data Engineering and Analytics Engineering to implement analytic insights and recommendations into business processes.
Write high-quality code (i.e., reliable, readable, efficient, testable), provide quality code reviews, and create comprehensive tests and documentation.
Have a good understanding of general business trends and directions to put your work in a broad business context.
Your Experience:
3+ years of experience in data science, decision science, or similar quantitative fields.
3+ years of experience with statistical or scripting software such as Python or R applied to data and statistical analysis.
2+ years of experience writing and optimizing complex SQL.
Statistical modeling and data analysis experience, e.g., significance testing, regression modeling, decision trees, and k-means clustering.
Familiarity with advanced statistical methods (Bayesian, GLM, time series) or machine learning (boosting, CART, neural networks, SVM).
Experience finding, cleaning, and manipulating data from multiple sources to build analytical data sets.
Experience defining simple, intuitive, and actionable metrics to focus decision-making.
An ability and interest in working in a fast-paced, ambiguous, and rapidly changing environment.
Nice-to-have Experience:
Experience working at an e-commerce company.
Experience with analytics visualization platforms like Looker or Tableau.
Background working in an Agile environment.
$116,000 - $174,000 a year
- We know that making decisions about your career and compensation is a huge deal. Because of that, we’re incredibly thoughtful about our compensation strategy. We want you to feel safe and excited, but also comfortable with the compensation package of a startup. We’ve outlined some important information for you here, but please know there’s a lot more to compensation than we can cover in this job posting.
- The posted salary range is the base salary for this opportunity. The salary range is subject to change, and may be adjusted in the future.
- The actual annual salary paid for this position will be based on several factors, including, but not limited to: your prior experience and skills related to the position, geographic location, company needs, current market demands, and your total compensation goals.
- Great humans deserve great benefits. At Loop, you’ll be eligible for benefits such as: medical, dental, and vision insurance, flexible PTO, company holidays, sick & safe leave, parental leave, 401k, monthly wellness benefit, home workstation benefit, phone/internet benefit, and equity.
In a perfect world, Loop wouldn't exist. If we had our way, we'd live in a world where we're mindful about how we consume, we love every product we own, and we share values with the brands who create them. In reality, commerce isn't perfect and often breaks. Loop creates second chances.
We're starting by revolutionizing the post-purchase experience. We've taken one of the most fragile commerce interactions - returns - and turned it into something consumers actually love, and that deepens our connection to brands and products.
We take connection seriously on the inside, too. We're building a work experience that allows you to Be A Human First and prioritizes empathy and wellbeing. We view Loop as a special place in your career to shape the future of an industry and become a better person while doing it. You can grow faster here in a shorter amount of time - we'll give you space and trust you to fill it.
Learn more about us here: https://loopreturns.com/careers.
You can review our privacy notice here.
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Principal Data Scientist | Veeva Systems |
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to 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 1900 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.
You are welcome to work remotely from any location within the United Kingdom. It's essential that you reside in the United Kingdom and have legal authorization to work without needing Veeva to assist with visa or relocation matters. If your circumstances differ (for instance, if you're planning to relocate to the United Kingdom), we're open to considering your application, especially if you're a remarkable fit for the role. In such scenarios, please provide an additional note detailing your situation and what makes you an exceptional candidate.
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
#RemoteUK
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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Product Scientist | Lion Studios |
Introduction:
We are looking for a Product Scientist to join our WORDLE! team. In this role, you will work closely with our General Manager to:
Translate business requirements into technical implementations via instrumentation in games to collect necessary data
Collaborate with the team to proactively drive feature roadmaps with data
Collaborate with the team to implement personalization and optimization algorithms that make real-time changes to player experience.
Take ownership over all aspects of analysis for Wordle!, set up new Looker dashboards, help instrument new features, and proactively look for opportunities via data to suggest new feature development or tuning.
Responsibilities:
Setup and manage existing game feature launches with adherence to deadlines (.e.g., event tracking, soft launch intelligence, etc.)
Work with the product team to define the experimentation roadmap
Design, run and evaluate experiments to answer questions about the motivations driving player behavior and how that varies for different segments
Perform exploratory and performance analyses to identify and recommend opportunities for enriching player experiences, driving monetization and creating compelling and entertaining Live Ops events
Perform diagnostic analyses to uncover sources of problematic data and/or unexpected player behavior
Build analytical models for segmenting and describing user behavior to drive decisions and collaborate with Data Scientists to identify opportunities for personalizing and optimizing the player experience
Develop Looker Explores, Dashboards and Looks to empower stakeholders to answer questions autonomously
Required Qualifications:
2 - 4 years of professional experience. Specific experience with social games, mobile apps, and/or cognitive sciences is strongly preferred.
Bachelor’s degree in a quantitative field. Honors thesis or Master’s degree with thesis is strongly preferred.
Experience designing, running and evaluating quantitative experiments
Proficient with R and/or Python for data modeling and analysis
Proficient with SQL
Ability to be-self sufficient and execute quickly when given autonomy
Flexible team player who will thrive in a dynamic, constantly evolving environment
Excellent English and communication skills
Bonus Points:
Experience with Snowflake
Experience with Databricks
Experience with Looker development
Knowledge of mobile gaming metrics and the mobile gaming industry
Product focused mindset
A passion for games (of any type)
AppLovin provides a competitive total compensation package with a pay for performance rewards approach. The expected base pay range for this position is $92,000 - $141,000. Base compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical and other benefits.
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Senior Data Scientist | Lion Studios |
About the Role:
We seek a Senior Data Scientist to join Lion Studios’ Data Science R&D team! On the R&D team, we conduct algorithmic research for mobile gaming applications, support the Data organisation as a whole with reproducible solutions and mentorship and collaborate closely with two of the five game teams to implement Data Science solutions that maximize the return of user acquisition campaigns, optimize game parameters and personalize player experiences. In this role, you will architect, develop, and deploy Data Science solutions in casual mobile games spanning hundreds of millions of players. You will be responsible for designing, developing and maintaining Data Science products in production, including an early-stage Reinforcement Learning dynamic difficulty system.
Responsibilities:
Optimizing and Personalizing Games: Collaborate with our Match and New Games game teams to optimize game systems and personalize user experiences. Titles include: Match 3D (iOS/Android), Match Tile 3D (iOS/Android), Card Shuffle Sort (iOS/Android) and Found It! (iOS/Android).
Developing Data Science Solutions: Research new modelling algorithms, languages, packages, and statistical tools to enhance the overall productivity of the team. Develop intelligence systems that layer explainability over Data Science solutions, driving Game Design roadmaps.
Collaborating Across Functions: Work with the Platform team to generalize solutions for portfolio-wide use, democratizing R&D team successes across the Lion Studios’ portfolio.
Contributing and Mentoring: Contribute modules to an in-house Python/Pyspark library for use by the broader Data organization. Mentor members of the Data organization on Data Science solutions, approaches to experimentation, driving roadmaps, and solving problems.
Promoting a Data-First Culture: Inspire and support a data-first culture across the organization.
Requirements:
4+ years of experience launching Data Science solutions in Mobile Apps
1+ years of experience with Databricks, Snowflake and AWS (S3, Lambda)
1+ years of experience with stakeholder relationship development and project management
Advanced proficiency with Python/PySpark and SQL
Advanced proficiency with Reinforcement Learning solutions
Ability to thrive in a fast-paced environment handling multiple projects (1 large & 1-2 small)
Bonus Points:
Gaming industry experience
Experience with PyTorch
Experience with model fine-tuning (Hugging Face, Open AI)
Experience developing Python modules for use by others
MS degree or higher in a quantitative field
Background in Cognitive Psychology, Cognitive Neuroscience or Cognitive Science
Strong background in research methods and statistics
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Senior Data Scientist | Reverb |
Company Description
Reverb is the largest online marketplace dedicated to buying and selling new, used, and vintage musical instruments. Since launching in 2013, Reverb has grown into a vibrant community of buyers and sellers all over the world. By focusing on inspiring content, price transparency, musician-focused eCommerce tools, a music-savvy customer service team, and more, Reverb has created an online destination where the global music community can connect over the perfect piece of music gear.
We believe that music makes the world a better place, which is why our mission is to make the world more musical. Sales on Reverb help support Reverb Gives, which provides youth music education programs across the world with instruments they need to make music.
Job Description
Reverb is a music gear marketplace, and we have a ton of data about music gear! These data come from over a decade's worth of listings, with varying degrees of structure and metadata. We’re looking for a Sr. Data Scientist to drive several projects to extract more useful information from those listings, as well as own the testing and measurement of any changes they make. We expect this is going to involve a significant amount of both supervised and unsupervised machine learning, as well as online controlled experimentation.
This role will report to a manager, but should require minimal direct supervision. You will be encouraged to lead and mentor more junior folks on the team as needed. We expect that strong candidates will have 4-7 years of meaningful experience, or an appropriate combination of a graduate degree and professional experience.
This position is based in Chicago and is open to fully remote or hybrid candidates.
This is a full-time position reporting to the Manager of Data Science of our Analytics team. For candidates located in NYC, San Jose, San Francisco, or Seattle, please visit this link for compensation information. For candidates in all other eligible locations, the base salary range will be $101,000 - $131,000 USD per year.
Primary Responsibilities
Partner with product and engineering teams to find opportunities to enrich our structured music gear data, using machine learning tools that you will developIterate on existing tooling for extracting information from and attribution information to our music gear listingsCollaborate in the development, execution, and analysis of A/B tests and other online experiments
Qualifications
Tools
Our ML stack is built on Anyscale and a combination of models built in PyTorch and open-sourced transformers from HuggingFaceWe’re primarily a Python shop for data science workMost SQL-related work will involve Redshift; we use dbt for transformationWe share most analyses via data visualization tools, specifically Looker and AmplitudeWe use Slack, GitHub, Atlassian tools (like JIRA and Confluence), and Google GSuite (like sheets, slides, docs, and drive) to communicate, share, and document
Additional Information
Reverb offers compensation packages that include base, bonus, and equity in the form of Etsy restricted stock units. Some of our key benefits include but are not limited to the following:
100% paid premiums for medical, dental, and vision coverage for the employee, spouse or domestic partner, and all eligible dependents. Medical coverage includes gender affirming care.Life, AD&D, and supplemental long-and short-term disability insuranceA matching 401(k)A generous PTO policy that includes vacation, sick/mental health days plus 11 paid holidays and two floating holidaysProfessional development and continued learning opportunities through access to mentoring, 1:1 coaching, and platforms like Skillsoft, LinkedIn Learning and Codecademy 18 weeks of gender-neutral parental leave for the birth or adoption of a childUp to $25,000 reimbursement of adoption and/or surrogacy related expensesPaid sabbatical program$1,000 annual work/life stipendAccess to free supplemental online mental health services and meditation apps Ways to give back to your community through a charitable contribution match and volunteer time off
At Reverb, we believe that a diverse, equitable and inclusive workplace makes us a more relevant and resilient company. We welcome people from all backgrounds, ethnicities, cultures, and experiences. Reverb is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
We know that the impostor syndrome and confidence gap are real. Please do not hesitate to apply!
#LI- ZW1
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Data Scientist | Phreesia |
Job Description:Unleash your analytical and technical skills as a hands-on Data Scientist in our brand-new Data Science team. In this role, you’ll embark on an exhilarating journey where you’ll tackle a wide range of exciting challenges throughout our project’s entire lifecycle. From the initial phase of data sourcing and exploration to pivotal moments of model selection, validation, evaluation and deployment at scale, you’ll be at the forefront of it all.As our Data Scientist, you’ll have the opportunity to build innovative data models, develop groundbreaking data products, and deliver remarkable analysis using vast datasets relevant to the health care system in the United States.Join our extraordinary team of sharp, witty, and dedicated colleagues who are deeply passionate about data and improving patient access to healthcare. We’re looking for a seasoned professional who can effortlessly collaborate with business stakeholders, translate their needs into technical solutions, and bring those solutions to life.What You'll Do:
Harness the potential of Phreesia’s massive and ever-growing datasets to create data products that provide actionable business insights.
Use NLP techniques to parse, process, and structure textual data, improving the way we extract value from information.
Develop efficient methods for classifying and characterizing patient populations, optimizing targeted engagement strategies on a grand scale.
Navigate and use diverse machine learning stacks in Python.
Quickly prototype ideas and solve complex problems by adopting creative approaches.
Take ownership of data products, carefully tracking their lifecycle from conception to implementation.
What You'll Bring:
A bachelor’s degree in a quantitative field such as data science, computer science, engineering, mathematics, statistics, computational linguistics, physics, etc with 5+ years of relevant work experience OR a MS/MA in a quantitative field with 2+ years of experience
Excellent SQL Skills to manipulate and extract insights from complex data.
Professional command of common Data Science toolsets in Python (data manipulation, data modelling, and general ML)
Experience using NLP toolsets is required
Experience with graph databases
Experience contributing production-level code using version control
Experience in using statistical principles, enabling you to make informed decisions through experimental design, significance test, A/B testing, and causal inference
Ability to organize, visualize, and present complex data in a way that tells a compelling story and drives decision making
Base pay for US is $120,000 - $145,000 USD, depending on qualifications. In addition, Phreesia also offers equity as part an attractive & comprehensive Total Rewards package.Who We Are:At Phreesia, we’re looking for smart and passionate people to help drive our mission of creating a better, more engaging healthcare experience. We’re committed to helping healthcare organizations succeed in an ever-evolving landscape by transforming the way healthcare is delivered. Our SaaS platform digitizes appointment check-in and offers tools to engage patients, improve efficiency, optimize staffing, and enhance clinical care.Phreesia cares about our employees by providing a diverse and dynamic work environment. We’re a five-time winner of Modern Healthcare Magazine’s Best Places to Work in Healthcare award and we’ve been recognized on the Bloomberg Gender Equality Index. We are dedicated to continuously improving our employee experience by launching new programs and initiatives. If you thrive in a culture of recognition, value inclusivity, professional development, and growth opportunities, Phreesia could be a great fit!
Top-rated Employee Benefits:
100% Remote work + home office expense reimbursements
Competitive compensation + equity grants for all employees
Flexible PTO + 8 company holidays
Monthly reimbursement for cell phone + internet + wellness
100% Paid 12-week parental leave to our U.S. employees, as well as a generous parental benefit to our employees in Canada
Variety of insurance coverage for people (and pets!)
Continuing education and professional certification reimbursement
We strive to provide a diverse and inclusive environment and are an equal opportunity employer.
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Senior Data Scientist | Phreesia |
Job Description:Phreesia is looking for an experienced and hands-on Senior Data Scientist to join our growing Data Science Team; someone with extraordinary analytical and technical skills who is familiar with the entire lifecycle of a data science project, from data exploration, modeling and analysis, to model selection, validation, evaluation, and deployment.You will be joining a team of especially smart, humorous, quick-witted, and dedicated coworkers, all passionate about data and improving patient access to healthcare. You will be responsible for strategic planning, building data products for internal consumption, near real-time business intelligence tools, and predictive models. We are looking for someone experienced in partnering with business stakeholders, translating their needs into technical solutions and answers, and then building and delivering those solutions. This role will report directly to the Director of Data Science.What You'll Do
Leverage Phreesia’s massive and ever-growing dataset to design and build data products that provide actionable business insights
Use NLP techniques to parse, process, and structure textual data
Develop methods to efficiently classify and characterize patient populations
Optimize targeted engagement strategies through modeling, forecasting, and evaluation
Navigate and use diverse machine learning stacks in Python and R
Quickly prototype ideas and solve complex problems by adapting creative approaches
Build customized dashboards for internal and external clients
Take ownership of data products and ensure they are properly tracked throughout their lifecycle
Participate in strategic project planning and reporting to executive leadership
Write clean, well-tested, code that will stand the test of time
Be an expert communicator: you could summarize your daily progress in a tweet
What You'll Bring
Bachelor's Degree required; MS/MA in a quantitative field such as data science, computer science, engineering, mathematics, statistics, computational linguistics, physics, or relevant equivalent professional experience
5+ years of experience in an operational Data Science role
MS/MA in a quantitative field such as data science, computer science, engineering, mathematics, statistics, computational linguistics, physics, or relevant equivalent professional experience
Experience using NLP toolsets
Experience in using statistical principles to inform decision making (experimental design, significance tests, a/b testing)
Excellent interpersonal and communication skills, both written and verbal
Ability to organize, visualize, and present complex data in a way that tells a compelling story and drives decision making
Excellent SQL skills and experience with large datasets
Experience contributing professional-level code using version control
Experience in collaborating with Data Scientists and Data Engineers to propose, test, validate, evaluate, and deploy Machine Learning models
Healthcare experience and a basic understanding of clinical terms is preferred but not required.
Technology You'll Use
Knowledge graphs, vector similarity search, large language models
Professional command of common Data Science and Machine Learning toolsets in Python
GitLab for CI/CD, Apache Airflow, web frameworks such as Python Flask or R Shiny
Kubernetes, Docker, and other containerization frameworks
AWS services including S3, EMR, Glue, SageMaker, Redshift, and Athena
Spark NLP, nltk, spaCy, and other NLP toolsets
Base pay for US is $150K - $170K USD, depending on qualifications. In addition, Phreesia also offers equity as part an attractive & comprehensive TotalWho We Are:At Phreesia, we’re looking for smart and passionate people to help drive our mission of creating a better, more engaging healthcare experience. We’re committed to helping healthcare organizations succeed in an ever-evolving landscape by transforming the way healthcare is delivered. Our SaaS platform digitizes appointment check-in and offers tools to engage patients, improve efficiency, optimize staffing, and enhance clinical care.Phreesia cares about our employees by providing a diverse and dynamic work environment. We’re a five-time winner of Modern Healthcare Magazine’s Best Places to Work in Healthcare award and we’ve been recognized on the Bloomberg Gender Equality Index. We are dedicated to continuously improving our employee experience by launching new programs and initiatives. If you thrive in a culture of recognition, value inclusivity, professional development, and growth opportunities, Phreesia could be a great fit!
Top-rated Employee Benefits:
100% Remote work + home office expense reimbursements
Competitive compensation + equity grants for all employees
Flexible PTO + 8 company holidays
Monthly reimbursement for cell phone + internet + wellness
100% Paid 12-week parental leave to our U.S. employees, as well as a generous parental benefit to our employees in Canada
Variety of insurance coverage for people (and pets!)
Continuing education and professional certification reimbursement
We strive to provide a diverse and inclusive environment and are an equal opportunity employer.
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Data Scientist | Ford |
Esc
Data Scientist
United States
(Remote)
Trending
Job Description
We are seeking a highly skilled and motivated Data Scientist to join our Quality Analytics team within the Global Data Insights and Analytics (GDIA) organization at Ford Motor Company. As a Data Scientist specializing in Natural Language Processing (NLP) Modeling, you will play a critical role in developing innovative solutions to enhance the quality analytics capabilities of our organization.
Responsibilities
What you'll be able to do:
Develop and deploy NLP models to extract insights from unstructured textual data.
Collaborate with cross-functional teams to identify opportunities and develop strategies for applying NLP techniques to enhance quality analytics.
Design and implement data preprocessing and feature engineering techniques for NLP tasks.
Utilize supervised and unsupervised machine learning techniques to solve complex NLP problems.
Evaluate and fine-tune models for performance optimization, accuracy, and efficiency.
Contribute maintainable code to existing and new pipelines.
Stay up-to-date with the latest advancements in NLP and contribute to the continuous improvement of our methodologies and algorithms.
Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner.
Qualifications
The minimum requirements we seek:
Master’s degree in Computer Science, Data Science, Statistics, or a related field.
2+ years of hands-on experience in Python programming for data analysis and machine learning.
2+ years of experience with NLP libraries and frameworks such as NLTK, spaCy, and Gensim.
2+ years of experience working with large language models (LLMs) such as GPT-3, BERT, or similar.
2+ years of experience with both supervised and unsupervised machine learning techniques.
Our preferred requirements:
Ph.D. in Computer Science, Data Science, Statistics, or a related field.
Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
Industry experience in NLP modeling, preferably within the automotive or related domains.
Familiarity with cloud platforms, such as GCP (Google Cloud Platform), and an ability to adapt and leverage multiple cloud environments.
Strong communication skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
What you’ll receive in return:
As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings, and stock investment plans, incentive compensation, and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, or protected veteran status.
For information on Ford's salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2023-benefits-and-comp-GSR-sal-plan-2.pdf
Apply Now
Job Info
Job Identification
15109
Job Category
Global Data Insight & Analytics
Posting Date
07/19/2023, 02:42 PM
Degree Level
Master's Degree or equivalent
Job Schedule
Full time
Locations
22001 Michigan Avenue, Dearborn, MI, 48124, US
(Remote)
Preferred Degree
Doctor of Philosophy
Remote
Yes
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Senior Data Scientist Product Analytics | Atlassian |
Working at Atlassian
Atlassians have flexibility in where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, relevant insights, and recommendations.
We're growing quickly, so you'll need to help scale the processes for sustainable growth across the Economy organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this is a great fit!
What you'll do
Use data to understand complex customer experiences on Atlassian's website (e.g. www.atlassian.com, support.atlassian.com and confluence.atlassian.com). Analyze how customers navigate our website and identify opportunities for improvement.Define success metrics and report on KPI for Atlassian's websites. Research and explain trends and their impact on the success of the overall business.Accelerate web experimentation through best practices, tooling and clear recommendations.Build instrumentation and web tracking in collaboration with partners and engineers to establish a solid data foundation for this space.Collaborate with engineers, marketers & senior leadership to bring data to the forefront of our decisions.
Your background
5+ years of experience in analytics, data science, or other quantitative fieldAdvanced proficiency in SQLExperience defining and auditing web instrumentation requirements and web analyticsExperience designing and analyzing various types of web experimentation (e.g. A/B testing quasi-experimentation, rollout etc.)Experience collaborating with senior management and translating insights into decisions and actionsAn knack for crafting raw data and analysis into well-written contentwhile maintaining the highest standard of workProficiency with data visualization best practices and tools such as TableauFamiliarity partnering with multiple business functions. For example: Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsAn agile development mentality, appreciating the benefit of constant iteration and improvement
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Data Science Lead | Octave |
Job Title: Data Science lead
Reports To: VP of Engineering
Location: Remote
Department: Engineering
Status: FT Exempt
About the Company:
Octave is a modern behavioral health practice creating a new standard for care delivery that’s both high-quality and accessible to more people. With in-person and virtual clinics in California, Connecticut, Florida, New Jersey, New York, Texas, and Washington D.C., the company offers personalized care plans that can include individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness.
Job Summary:
We are seeking an experienced and motivated Data Science Lead to join Octave. As the Data Science Lead, you will play a crucial role in driving our data-driven decision-making process and shaping our data science team from the ground up. We are looking for someone with a strong practical background in data science who also has experience developing and implementing data science strategies in a fast-paced startup environment. Being the first member of this function at the organization, the individual should also have a desire and willingness to be hands on.
Duties/Responsibilities:
Drive data-driven decision-making: Collaborate closely with cross-functional teams, including product managers, analysts, engineers, and business stakeholders, to identify key business problems and develop data science solutions that drive growth and innovation.
Develop and implement data science strategies: Define the data science roadmap and vision, aligning it with the company’s overall goals and objectives. Drive the development and implementation of best practices, methodologies, and tools to enhance the team’s efficiency and effectiveness.
Hands-on data science work: You will also be expected to contribute directly to data science projects. This may involve data exploration, model development, statistical analysis, and predictive modeling to derive actionable insights and solutions.
Required Skills:
Practical data science expertise: Strong background in data science with hands-on experience in data exploration, statistical analysis, predictive modeling, and machine learning. Proficiency in Python, along with experience using relevant libraries and frameworks.
Startup experience: Prior experience working in a startup or similar fast-paced environment is crucial. Demonstrated ability to thrive in an agile and rapidly changing work environment, adapt to new challenges, and help scale a data science team as the company grows.
Strong communication and stakeholder management: Excellent communication skills, both verbal and written, with the ability to translate complex data science concepts into actionable insights for non-technical stakeholders. Experience collaborating with cross-functional teams and presenting findings and recommendations to senior leadership.
Analytical and problem-solving mindset: Strong analytical skills, attention to detail, and the ability to think critically and creatively to solve complex business problems using data science techniques. Experience with experimental design, A/B testing, and data-driven decision-making is highly desirable.
Join our innovative startup and take the lead in shaping our data science capabilities. Together, we will leverage data to drive meaningful insights, impact business outcomes, and build cutting-edge solutions. Apply now and be part of our exciting journey!
Physical Requirements:
Prolonged periods sitting at a desk and working on a computer.
Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet.
Must be able to observe and communicate information on company provided laptop.
The ability to lift 15 pounds regularly.
Compensation:
Octave is committed to pay equity. To maintain our commitment to pay equity, Octave will follow Pay Transparency regulations on all open job postings. Current Pay Transparency laws require companies to include a position's salary or hourly wage range (not including bonuses or equity-based compensation) in any internal or external job posting. This requirement extends to job postings published by a third party at an employer's request.
Octave will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Octave’s legal duty to furnish information.
Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.
The salary range for this role is $200,000-$240,000 annually
Additionally, this position is eligible for the following benefits: company sponsored life insurance, disability and AD&D plans. Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options are also available. Octave offers generous Paid Time Off as well as paid parental leave benefits.
Must be eligible to work in the United States without sponsorship now or anytime in the future
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.
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Senior Data Scientist New Initiatives | Dropbox |
Role Description
How many times you get an opportunity to be at the ground floor on a very big and important mission? What if you get to be one of the top contributors defining the mission, guiding our teams and influencing the direction of Dropbox AI-first mission? As a Sr Data Scientist in Growth/GTM/Monetization for this new division, you will exactly get to do that. You will join a team of top-tier data scientists and be an inherent part of the product org to create and scale this new business.
As a ground floor opportunity for this startup team, we need this DS to build a top-tier data-informed culture with a strong background on the Growth/GTM/Monetization impacts and execution!
Responsibilities
You will serve as the Growth/GTM/Monetization data leader in balancing urgency vs. the incredibly high quality bar expected by both our customers and the broader Dropbox organization, through clear and repeatable data informed approach
You will partner closely with leadership across all functions while being focused on the Growth, Marketing, and monetization team work - Product, Engineering, Design, and Research
You will have the seat at the table for every key decision for growth and marketing strategies
You will build the reliable, efficient, and scalable data foundations and daily execution standards, tools, and processes for our AI products’ long-term growth
You will create a culture of strong technical ownership, resulting in highly reliable products and services at scale
You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps
You will perform analytical deep-dives to analyze Growth/GTM/Monetization related user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques
Requirements
Masters’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
6+ years experience of leveraging data-driven analysis to influence key business decisions and executives, in Growth, GTM and Monetization fields, preferably in a tech company
4+ years serving as a technical leader and having hands-on experiences to work with data scientists, engineers, product managers, user researchers, and designers in Growth, GTM and Monetization fields
Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact
Ability to influence prioritization and execution of high impact projects effecting customer experience, monetization, and marketing’s roadmap
Ability to analyze large datasets, to identify the key success metrics that product teams can take actions upon, with a track record of driving directly measurable product or business impact.
Be proficient with SQL, Python and other coding languages frequently applied in the growth production environment, with deep understanding of statistical analysis & experiment design
Total Rewards
For candidates hired in San Francisco metro, New York City metro, or Seattle metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $180,200 - $212,000 - $243,800.
For candidates hired in the following locations: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro) and Washington DC metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $162,200 - $190,800 - $219,400.
For candidates hired in all other US locations, the expected salary/On-Target Earnings (OTE) range for this role is currently $144,200 - $169,600 - $195,000.
Range(s) is subject to change. Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use.
Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
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Senior Data Scientist Support Nlp And Causal Inference | Doordash |
About the Team
Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented data scientists to help us develop and improve the models that power DoorDash's three-sided marketplace of consumers, merchants, and dashers.
About the Role
As a support-focused Machine Learning Scientist you will have the opportunity to identify and prioritize machine learning investments across our support ecosystem. You will leverage our robust data and infrastructure to develop natural language processing and causal inference models that impact millions of users across our three audiences. You will partner with an engineering lead and product manager to set the strategy that moves the business metrics which help us grow our business.
You’re excited about this opportunity because you will…
Lead the development of DoorDash's support chatbot: Applying active learning, semi-supervised learning, weak label generation, and data augmentation strategies to improve the consumer, dasher, and merchant support experience
Drive the personalization of DoorDash's credit and refunds policies: Using uplift/heterogeneous treatment effect models and contextual bandits to improve consumer retention after negative delivery experiences
Spearhead the creation of next generation agent tools: Building contextual bandits to recommend replies to support agents and generative models for agent text auto-completion to improve the consumer, dasher, and merchant experience while reducing agent effort
Apply stratification, variance reduction, and other advanced experiment design techniques to create A/B tests to efficiently measure the impact of your innovations while minimizing risk to the broader system
You can find out more on our ML blog post here
We’re excited about you because…
High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
You’re an owner — driven, focused, and quick to take ownership of your work
Humble — you’re willing to jump in and you’re open to feedback
Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!
Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team
Experience
4+ years of industry experience developing optimization models with business impact — more experience preferred
1+ years of industry experience serving in a tech lead role
M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
Deep understanding of natural language processing techniques and procedures for efficiently acquiring and validating human-labeled data
Good understanding of many quantitative disciplines such as statistics, machine learning, operations research, and causal inference
Demonstrated familiarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLib
Experience productionizing and A/B testing different machine learning models
Familiarity with advanced causal inferences techniques and contextual bandit algorithms preferred
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
Pursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $141,525.00 -$191,475.00 , plus opportunities for equity and commission. Compensation in other geographies may vary.
If you need any accommodations, please inform your recruiting contact upon initial connection.
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Pricing Scientist | Pricefx |
We are a young and unconventional software company created in 2011 by experienced pricing software and pricing consulting professionals. As the first pureplay, native Cloud and SaaS provider in our industry, Pricefx became and intends to stay the leading SaaS Pricing (Price Optimization & Management) and CPQ (Configure-Price-Quote) vendor.We are an agile company that brings good ideas to life quickly and is committed to market-driven innovation. We are highly flexible, our customers are from diverse industries and sizes with brands like Michelin, Bosch, and Danone. We are a solid and sustainable company that is and will be strongly growing globally for the years ahead. It’s a great time to join us and grow with us.
Our Solution Delivery organization is currently looking for a Pricing Scientist to join our fast-growing team. The ideal candidate will be intricately involved in desgining, running, analizing and presenting data driven solutions that aim to improve our customers pricing practices. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops solutions which will influence both our products and clients.
Your mission?
To make data driven solutions simple to understand. You will be leading customer price optimization consulting engagements to individuals who may not always have an advanced knowledge of mathematical conceptsTherefore, you need to think simply, communicate effectively, and execute efficiently as you run online and onsite workshops and develop and configure these data driven solutions using PFX’s industry leading platform. .
You will be in charge of…
Support Pre-Sales efforts with prospective customers, including presentations, demonstrations, and proof-of-concept projects
Work on customer projects to develop, configure, implement, and support data driven solutions
Evangelize the power of data driven analysis, and bring truth to the hype surrounding AI
Support detailed PriceOptimizer training, including curriculum and delivery, to Pricefx new hires, customers, and partners
What should you have to succeed?
Master’s Degree in Computer Science, Statistics, Applied Math, Engineering, or related field
3+ years’ practical experience with data processing and data analytics
3+ years experience with Python, or other programming languages geared towards mathematical analysis
Background in data mining and statistical analysis
Able to understand various data structures and common methods in data transformation
Excellent pattern recognition and predictive modeling skills
Location
Remote Opportunity
Other job specifics…
Full-time employment
Ability to travel domestically up to 30%, occasional international travel
What will you love about us?
You will be part of a global team and a company culture that is characterized by the free and respected exchange of professional and cultural perspectives. As a rapidly growing organization, you will have opportunities to explore creative ways of delivering continuous value to our clients and charting a career path that reflects the unique skill set and experience you bring to Pricefx. We will give you the option of your own devices by providing a monthly $260-IT allowance (laptop, mobile, and internet). We have built a benefits program to match the strength of our team.
Our office is centrally located in the West Loop of Chicago, and plenty of flexibility on public transportation options.
We match your 401K contribution dollar for dollar up to 4% and vest it starting the first month.
We give you 4 weeks of paid time off (PTO), 14 public holidays each year, and your birthday off.
We have amazing healthcare coverage sponsored by the ADP platform.
We offer 12 weeks of 100% paid maternity leave.
By applying, I confirm that I acknowledge and understand how Pricefx processes my personal data as per information in GDPR for Candidates.
#BI-Remote
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Senior Informaticist Provider Data Analytics | Humana |
Description
The mission of the Physician Performance Insights team is to empower Humana members to make informed healthcare decisions. Our key goal is to ensure transparency and help our members obtain high quality, affordable healthcare while keeping our provider networks efficient and optimal. We achieve this through advanced analytics that enables objective evaluation of physician performance related to our two key metrics: Efficiency of Care (cost) & Effectiveness of Care (quality).
Responsibilities
Humana is seeking a Senior Informaticist on the Physician Performance Insights team that leverages their advanced knowledge of data, statistical analysis, problem solving, business analytics, modeling, optimization, and related tools. Utilizes strategic thinking capabilities
Read more about this job
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Data Scientist | Zelis |
Summary: The Data Scientist will work closely with the Business Intelligence, Analytics and Data Engineering & Services teams. This position will lead efforts in providing deep analytical insights from massive complex healthcare datasets and assist in building and maintaining robust data pipelines to garner meaningful insights.Essential Duties & Functions:
Leverage huge sets of health care payer and related data to analyze cost and provider network efficiencies to produce innovative solutions and optimize the delivery of our product offerings.
Apply knowledge of statistics, machine learning and data science technologies to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
Perform deep-dive analyses using SQL & python data science & big data tools to garner actionable
Working with SQL, Python and Apache Spark to perform iterative analysis and integrate into data ETL/pipelines.
Overseeing data functions such as ingestion of structured/unstructured data, transformation, standardization and QA to build robust and automated data pipelines.
Document and maintain robust processes that move large amounts of complex data between multiple data storage systems including text extracts, RDBMS and parquet formats.
Monitoring, reviewing, and analyzing inbound and outbound data.
Proactively identifying issues and trends through data analysis and manipulation.
Presenting findings in reports and utilizing various visualization techniques and tools like Power BI and Python data visualization tools.
Communicating effectively with cross functional teams.
Creating and maintaining code through GitHub repository for change control.
Supporting off-hours data processing and emergency requests
Experience, Qualifications, Knowledge and Skills:
Knowledge of HealthCare Claims, Payer and related data.
Advanced Python skills including popular data science libraries such as Pandas, Numpy, Matplotlib or similar.
Advanced SQL skills.Experience with big data using Spark(Pyspark, Scala) and knowledge of Spark Internals.
Experience with AWS.
Experience with Rust a big plus.
Bachelor’s degree (Statistics, Math, Computer Science, or related field) and a minimum of 2 to 5 years related experience and/or training; or equivalent combination of education and experience as a data engineer/analyst/scientist.
Experience with version control software (Git preferred), agile development experience, and knowledge of design patterns.
Experience working independently, contributing as a member of the team and result driven.
Strong presentation skills to explain and present advanced statistical methods using non-technical language to key business stakeholders.
Physical Demands: ● Sedentary work - Exerting up to 10 pounds of force occasionally, and/or a negligible amount of force frequently to lift, carry, push, pull or otherwise move objects in daily work use (laptop, monitors, et. al). Sedentary work involves sitting most of the time. Use of keyboards (typing) and exposure to computer screens occurs daily. Pleasant work environment in office locations with occasional noise or dust.● The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ● While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands; reach with hands and arms; think; and talk or hear (multi-channel, two way communication during work hours is required). As a leading payments company in healthcare, we guide, price, explain, and pay for care on behalf of insurers and their members. We’re Zelis in our pursuit to align the interests of payers, providers, and consumers to deliver a better financial experience and more affordable, transparent care for all. We partner with more than 700 payers, including the top-5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, over 4 million providers, and 100 million members, enabling the healthcare industry to pay for care, with care. Zelis brings adaptive technology, a deeply ingrained service culture, and a comprehensive navigation through adjudication and payment platform to manage the complete payment process.Zelis provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, 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.SCAM ALERT: There is an active nationwide employment scam which is now using Zelis to garner personal information or financial scams. This site is secure, and any applications made here are with our legitimate partner. If you’re contacted by a Zelis Recruiter, please ensure whomever is contacting you truly represents Zelis Healthcare. We will never asked for the exchange of any money or credit card details during the recruitment process. Please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Zelis.
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Staff Data Scientist | Sofi |
The Role:
The Marketing Data Science team is looking to add a Staff Data Scientist who will help shape product decisions and strategy through data-driven insights. The Staff Data Scientist will be working closely with Marketing Managers, Business Units, Product & finance partners to build and grow SoFi Bank, Invest, and Credit Cards into a top choice for consumers to “Get Your Money Right”. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics.
As a Staff Data Scientist, Marketing at SoFi, you will be subject matter expert on user journeys; consumer profile and behavior; optimizing onboarding experience; and evaluating marketing opportunity; our internal data pipelines; and marketing datasets. You will also contribute to building machine learning (ML) models and solutions that touch on attribution, forecasting, and budget allocation across our marketing channels.
This role will support SIPS (Save, Invest, Protect and Spend) business unit at SoFi focused mainly on SoFi Bank, Invest, and Credit Cards products.
What you’ll do:
Drive highly visible, strategic projects that are imperative to the SIPS business’s short term as well as long term goals.
Translate business goals into actionable tactics and campaigns informed by data that deliver short term results and build foundational platform for long term growth
Analyze marketing spend, customer journey, acquisition funnel and product engagement data to generate business insights, inform marketing strategy, and unlock potential value
Design test plans to achieve business outcomes, and partner across other functional groups like Marketing, Business, Operations, Engineering for implementation
Support partners with ad hoc analysis requests that come up during normal course of business
Synthesize data into succinct presentations that influence senior management decision making
Work with amazing product marketing and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
Own comprehensive daily, weekly, monthly reporting of all member engagement KPIs & build the right dashboards to track and communicate performance
You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.
What you’ll need:
Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
8+ years of relevant work experience in growth or marketing capacity, with demonstrated experience developing and analyzing marketing campaigns
Industry experience in Banking, Brokerage, Credit Card and Marketing Analytics highly desired
Intellectual curiosity and aptitude to pick up new technical skills
Ability to initiate and drive projects to completion with minimal guidance
High EQ with ability to influence outcomes and communicate technical content to general audiences
Strong programming skills in SQL, Python and proficiency in Tableau
Experience with using Airflow to build Data Pipelines in Snowflake
Experience with experimentation and hypothesis testing
Knowledge of statistical modeling or machine learning is preferred but not a requirement
Ability to work in a dynamic, cross-functional environment, with strong attention to detail
Strong relationship building and collaborative skills
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Latam Data Scientist | Khan Academy |
ABOUT KHAN ACADEMY
Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. Our platforms include more than 70,000 practice problems, videos and articles that cover a range of preK-12 subjects. Khan Academy’s mastery-based learning system allows students to learn key concepts at a pace that’s right for them before moving on to more challenging content. Our award-winning free app for young children ages two to eight is Khan Academy Kids. In the US, we partner with more than 280 school districts that serve students who are historically under-resourced. Worldwide, more than 150 million registered learners have used Khan Academy in 190 countries and 51 languages. For more information, please see research findings about Khan Academy and our press center.
ABOUT KHAN ACADEMY BRAZIL
Khan Academy Brazil aims to deliver a world class user experience to learners that is locally relevant with content, programs, and resources for teachers, schools, and districts. Our platform is a supplemental educational digital resource that offers interactive activities based on mastery-based learning for K-12 grades covering Math, Portuguese, and Science, all aligned to BNCC. We are serving more than 6 million learners a month across our websites, apps and youtube channels, including both independent learners and teacher directed learners in schools. Our goal is to scale the impact of our platform by focusing on partnerships with public districts in Brazil.
ABOUT THE ROLE
Khan Academy is looking for an experienced data scientist to join our growing team. This role will partner with our Latam schools team to drive engagement with our product and improve student outcomes. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organization to drive critical strategic decisions. This role will report to our Principal Data Scientist.
In this role you will:
Identify and measure success of our district team’s initiatives through target setting, forecasting, monitoring, and ongoing analysis of core outcome metrics
Perform advanced exploratory analyses on large sets of data to extract insights on teacher and learner behavior and inform decisions on investments and initiatives
Collaborate with Engineering teams to improve tools and datasets and work self-sufficiently with data pipelines (e.g. ETLs) on an as-needed basis
Use your expertise in experimentation (i.e. AB testing, causal inference) to measure the impact of various programs and interventions
Contribute to the development of analytics tools and data applications to enhance data access for the district team and Latam leadership, including the development of Latam dashboards to monitor the annual plan goals and objectives (KPIs and targets)
Collaborate with efficacy researchers to provide curated datasets and/or dashboards for measuring learner outcomes.
Develop and maintain data dashboards to support the implementation in district partnerships and monitor the adoption of communities of practice with weekly or monthly updates of targets attainment
Own and manage the prioritization roadmap for data initiatives and projects to support reach, engagement, and resource allocation throughout Latam
ABOUT YOU
You are someone:
A passion for education and a desire to change the world
Background in applied math, statistics, economics, or a related technical field
5+ years experience in data science or analytics
Strong SQL foundations & ability to manipulate data using Python (preferred) or R. We are SQL and spreadsheets heavy.
Strong data storytelling, visualization and communication abilities; prior experience developing BI tools is a plus
Knowledge of statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling & ETL, BI tool development)
Flexibility to periodically visit our office in São Paulo, Brazil, to interact with the Latam team
Residence in the Greater São Paulo (a plus) and flexibility to periodically visit our office in São Paulo, Brazil, to interact with the Latam team
PERKS AND BENEFITS
We may be a non-profit, but we reward our talented team like a for-profit.
Competitive salaries and benefits
Remote-friendly workplace, i.e. work from home and flexible schedules
Premium medical and dental plans with life insurance
Wellness benefits, i.e. personal time off beyond regular vacations
Professional development focus
A kind place to work
LEARN MORE
Sal’s TED talk from 2011
Sal’s TED talk from 2015
A glimpse of our team: http://www.khanacademy.org/about/the-team
A glimpse of our content created: https://youtu.be/W33tZb9qF6I
HOW TO APPLY
Attach your resume or Linkedin URL in the space provided below.
Please address the below-mentioned task and attach your response in the space provided below.
TASK
SQL: Calculate Retention Metrics
We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
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Senior Manager Data Science Science And Machine Learning | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
We’re looking for a Senior Data Science Manager that will help in changing the way ads have been delivered over the last 20 years, breaking models, assumptions and thinking innovatively about protecting Pinner experience while generating revenue. The team is responsible for supporting all the surfaces in the Pinterest app – Home Feed, Search, Related Pins, Shopping Surfaces, Idea Streams etc. Each of them brings its own complexity and challenges which will provide exposure to a wide variety of data science problems to solve. This person would work with world class data science and ML talent in building the next generation advertising products and become a leader of leaders, developing a best in-class team of technical data scientists.
What will this person do?
Build, inspire and grow a high performance, responsive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space Working with product and engineering partners help identify and answer important “why” questions. Lead the team to structure ambiguous business challenges into actionable plans. Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business. Help improve the measurements, metrics and decision making framework for improvements to our ads quality stack. Communicate complex analytical findings and insights to both technical and non-technical stakeholders in a clear and concise manner. Continuously research and stay up-to-date with the latest developments in data science, causal inference, and advertising technology to drive innovation within the Ads Team. Be a champion for building a highly talented and diverse team with an inclusive culture.
What we’re looking for:
MS or PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics, etc. Data Scientist, ML engineer or SWE in Digital Ads 6+ years of experience as a data scientist, algorithmic engineering, or machine learning 3+ years of experience in managing and mentoring data science, data engineering, and analytics teams in a technology company Experience with related technical areas: Statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL) Data science models (Regression, Decision Trees, K-Means, etc.) Experience with large data sets and analytical tools, e.g. Hive, Spark Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills. Experience with hypothesis driven product development.
This position is not eligible for relocation assistance.
#LI-REMOTE
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$207,500—$311,200 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.
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Data Scientist Ecosystem | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What we’re looking for
9+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
This position is not eligible for relocation assistance.
#LI-NM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$207,500—$311,200 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.
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Data Scientist | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you’ll do
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
What we’re looking for
4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
This position is not eligible for relocation assistance.
#LI-REMOTE
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$145,700—$258,700 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.
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Senior Data Scientist Electricity Grids | Watttime |
Accepting applications on a rolling basis.
About WattTime
WattTime is a rare non-profit tech startup. We’re laser focused on helping people, companies, and policymakers that are working to drive down emissions multiply their good impact - usually at no cost. We do this through several specific creative uses of extremely detailed emissions datasets. Founded by UC Berkeley researchers, we’re best known for inventing Automated Emissions Reduction (AER), a data-driven technique that over 100 million IoT devices now use to reduce fossil fuel use by automatically running on surplus clean/renewable energy. We also develop and share other techniques, like our Emissionality technology that more and more wind and solar farms are using to multiply their environmental impact. Today, WattTime is also the secretariat of the Climate TRACE coalition, a global team-up of nonprofits, tech companies, and universities working to use machine learning and remote sensing to provide open, transparent, independent monitoring of nearly every major individual source of GHG emissions worldwide. For more information visit www.WattTime.org.
About the Role
WattTime’s Automated Emissions Reduction (AER) team is expanding our product and looking for a scientist to raise the bar on our models. Our small team has made great strides and identified where our models need to be validated and refined. We are looking for someone grounded in mathematical modeling who can lead cutting edge research in electricity grids. You will work with other data scientists and engineers to turn research into production models and data pipelines. Ideally you will bring an in-depth knowledge of power systems, electricity transmission and distribution, or grid dispatch models.
Responsibilities
Lead research on electricity carbon emissions models and conduct experiments for validating model performance
Benchmark and categorize marginal emissions models for a variety of use cases ranging from short run AER to long run expansion of renewable energy generation
Document, publish, and present results both internally and to external stakeholders, informing very high impact decisions for corporate carbon policies
Create plots and data visualizations to discern salient points buried in large time series datasets
Exemplify an iterative modeling and communication approach that encourages collaboration amongst a team of data scientists and engineers
Help design new data pipelines to support our expansion, e.g. a weather data store
Lead by example with good patterns that level up our data and software environment
Qualifications
The person hired for this position should be committed to WattTime’s mission. All candidates should have proven experience that includes:
5+ years of hands on experience in statistics, data science, or mathematical modeling
Proven ability to lead a research project, give presentations, and communicate to multiple stakeholders
2+ years experience analyzing large time series datasets and employing models that handle autocorrelation and seasonality
2+ years writing clean code that is version controlled (Python and Git preferred)
Skilled with Python or R libraries for statistical modeling such as numpy, scikit-learn, statsmodels, lm, or glm
Experienced in prioritizing model explainability; and able to select models that can be understood and maintained by other scientists and engineers
Flexible and willing to contribute to WattTime’s API, ML models, and product direction
Collaborative, communicative, and respectful
Ability to work effectively from a remote environment across regular U.S. work hours through tools like Slack, Zoom, GSuite, and others
Willingness to travel to team collaborative sessions a few times a year
Bonus points for publications in power systems, grid dispatch models, statistics, operations research, or causal inference
How We Measure Success at WattTime
Doing the work: you know your priorities and embrace flexibility
Productivity: you complete work with urgency and deliver it on time through hard work and grit
Quality: you leverage your subject matter knowledge to implement complex projects and practice relevant new skills
Judgment: you make impact-focused decisions and adjustments as you work on projects and break apart problems
Collaboration: you help others meet their goals, cultivate trust, lead with respect, and practice self awareness
Logistics
This is a full time, remote position - work from anywhere in the U.S.
Must be authorized to work in the U.S.
For those authorized and located in the U.S., WattTime is open to U.S. visa sponsorship. As an H-1B cap-exempt, non-profit research organization, WattTime can sponsor employees for H-1B status throughout the year.
Salary: $180,000 - $195,000
Hiring Process
Resume screening
Initial phone screening
Technical interview #1
Skills assessment to see your work in action
Technical interview #2
Half-day of interviews with the team at large
Reference checks and offer
Read more about what it's like on this LinkedIn post from one of our fantastic engineers.
Why Work with WattTime
Competitive salary
Full medical, dental, vision, life insurance packages for employees and 80% coverage for dependents
Paid parental leave
Flexible time off
Professional development support
Home office support and employee choice technology
403b with up to 5% matching contribution
Opportunity to work for a tech nonprofit focused on driving real impact
What we’re like: we’re obsessed with making practical, results-driven change. We believe nothing has more potential for fast, world-changing impact than software. We embrace change. We are lean and rapid prototypers. We never confuse growth with impact. We are all personally, fiercely committed to our mission. We are quietly radical in unexpected ways. We don’t believe in competition–other people doing good work are allies. Our deep bench of expert volunteers helps us routinely punch above our weight class. We trust in data and everyone’s voice being heard. We know diversity is central to success. We consider respect non-negotiable; there are no jerks here.
How to Apply
You can apply for this position on our website at www.watttime.org. From the “About” tab, select the “Jobs” page, then select the job for which you want to apply.
Please attach your resume AND in lieu of a cover letter, answer the prompt in the application that addresses the following:
Please provide links to, or tell us about, your experience leading a research project in a relevant area such as electricity grids, statistics, operations research, or time series analysis.
Equal Opportunity Policy
WattTime is an Equal Opportunity Employer (EOE) and does not discriminate on the basis of race, color, gender, sex, sexual orientation, religion, creed, pregnancy, marital status, family care status, age, appearance, national origin or ancestry, physical or mental ability, medical condition, military or veteran status, political affiliation, genetic information or characteristics or any other consideration protected by federal, state, or local laws. We encourage all individuals to apply and are committed to a diverse workplace where every person is treated with respect and dignity.
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Principal Data Scientist | Curriculum Associates |
Description
Principal Data Scientist
Take one of the most innovative educational technology brands to the next level by becoming part of our rapidly growing organization. We are seeking a highly qualified Principal Data Scientist with experience in building machine learning(ML) and deep learning models. The role requires a proven track record of professional excellence and a high willingness to be the driving force behind developing great software to serve our customers. The Principal Data Scientist will work on i-Ready Technology eam, responsible for analyzing data from multiple contexts and applying AI solutions to solve problem on AWS cloud infrastructure following Agile methodologies.
RESPONSIBILITIES
Lead the data science team in the development of advanced analytics solutionsWork with stakeholders to identify business problems that can be solved using data science techniquesDesign, develop, and implement data-driven solutions to solve complex business problemsLead the exploration of new data sources and techniques to enhance the quality and accuracy of the data used in analytics solutionsBuild and maintain predictive models to help drive business decisionsCommunicate results and insights to stakeholders in a clear and concise mannerCollaborate with cross-functional teams to ensure that data science solutions are integrated into business operationsContinuously monitor and evaluate the effectiveness of data science solutions and make recommendations for improvementsStay up to date with the latest data science techniques and technologies and share knowledge with the team
SKILLS AND QUALIFICATIONS
MS or above in Computer Science, Mathematics, Data Science or an equivalent degree10+ years’ experience in Data Science or Machine Learning, with a track record of developing and implementing data-driven solutionsExperience developing in Python to manipulate data and draw insights from large data setsExperience in querying databases using SQL, Python, etc.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacksStrong programming skills and mastery of statistical and machine learning conceptsExperience with model selection techniques to identify models that align most closely with our business and product objectivesExperience applying advanced machine learning methodologies in a production settingExperience with Amazon cloud computing infrastructure (SageMaker, S3, EMR Lambda etc.)Experience working with the Agile/Scrum methodologyShould have strong verbal, written, and presentation communication skills
We’d also love to see:
Educational domain backgroundExperience with large volume data processing and big data tools such as Apache Spark
Benefits and Pay Range:
Pay Range – This role’s range is $126,750 - $233,750. The wage range for this role takes into account the wide range of factors that Curriculum Associates considers in making compensation decisions based on our Compensation Philosophy. Actual base pay within that range will vary based upon several factors including, but not limited to, prior experience and relevant skill sets. At Curriculum Associates, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances for each case. This role is also eligible to participate in the company bonus plan. The Company recognizes that minimum wage varies by location and will ensure all compensation decisions comply with applicable state and local laws.
Benefits – Benefit eligible employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees can enroll in our company’s 401k plan and receive an employer match. Employees have access to a flexible vacation and sick policy in addition to twelve paid holidays and a winter office closure between Christmas and New Year's, as well as a number of additional perks and benefits.
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Statistical Analyst | Curriculum Associates |
Description
Statistical AnalystAt Curriculum Associates, we believe a diverse team leads to diversity in thinking, making our products better for teachers and students. If you read this job description, feel energized by what you see here, and believe you could bring passion and commitment to the role, but you aren’t sure you meet every qualification, please apply! Above all, we are looking for the right person!Curriculum Associates is seeking a talented Statistical Analyst with strong research skills to join our Efficacy and Implementation Research team. In this role you will focus on data wrangling, data cleaning, data manipulation, and data management and documentation. In addition, this role will conduct some statistical analyses for research and psychometric projects. This position is largely quantitative and will require intermediate programming skills in SQL, as well as SAS and/or R, with large and complex datasets.
*Please include a cover letter that discusses your interest in CA and outlines how your previous experiences will set you up for success in this role.
This opportunity is right for you if:
You are fiercely committed to providing educators and decision makers at all levels of the education system -- national, state, district, and classroom –timely, accurate, meaningful research results to inform policy and practiceYou are deeply passionate about using the power of data analytics and research to help all students reach their potential – especially those students who have been prepared inequitablyYou enjoy the challenge of successfully wrangling large, complex data setsYou are energized when your work is due on a tight turn-around because it is needed to inform timely decisions that will help make classrooms better for students and teachersYou can, with support, conduct quantitative analyses and communicate the results clearly and succinctly to non-technical audiences
The impact you'll have:
You’ll use SQL to create datasets to be used for internal and external applied educational research and psychometric projects.Generate and maintain documentation of data variables and data sets via data dictionaries stored in central locations.Maintain and update code to query data and conduct analyses in a centralized location, such as a code repository or network drive.Conduct a range of basic data analysis and reporting projects, as well as assist with high level data analysis for applied education research and psychometric projects.Contribute to quality control processes to ensure accuracy of data sets and analyses for applied educational research and psychometric projects.
Who we’re looking for:
Bachelor’s degree (Master's preferred) in Mathematics, Information Systems, Data Analytics, Education, Social Sciences or related areas.1-3 years of experience in a similar role.Comfort when independently writing complex and efficient SQL queries and joining multiple tables within large relational databases.Experience working with SAS, R, or similar coding language for manipulating data and conducting statistical analyses.Curiosity and initiative to learn new technologies and skills, and to procure information using available resources.Excellent written and verbal communication skills, ideally with experience communicating complex technical topics to lay audiences.Proven ability to manage multiple complex projects while maintaining a high level of attention to detail.Ability to work in a self-directed way.Ability to use critical thinking skills to identify issues with data accuracy and data integrity.Ability to thrive in a fast-paced environment and adapt to changing priorities as needs shift or critical customer issues arise.
We’d also love to see, though not required:
Experience leveraging and manipulating large datasets to answer challenging questionsDemonstrated experience in a K-12 digital learning space including reading and/or mathematics
Location: Curriculum Associates is a socially responsible, rapidly growing educational company headquartered northwest of Boston, MA. This is a remote position which will work collaboratively with a team of other researchers, most of whom are also working remotely.
Benefits and Pay Range:
Pay Range – This role’s range is $60,750 - $99,750. The wage range for this role takes into account the wide range of factors that Curriculum Associates considers in making compensation decisions based on our Compensation Philosophy. Actual base pay within that range will vary based upon several factors including, but not limited to, prior experience and relevant skill sets. At Curriculum Associates, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances for each case. This role is also eligible to participate in the company bonus plan. The Company recognizes that minimum wage varies by location and will ensure all compensation decisions comply with applicable state and local laws.
Benefits – Benefit eligible employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees can enroll in our company’s 401k plan and receive an employer match. Employees have access to a flexible vacation and sick policy in addition to twelve paid holidays and a winter office closure between Christmas and New Year's, as well as a number of additional perks and benefits.
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Senior Staff Data Scientist | Mozilla |
Sr. Staff Data Scientist
at Mozilla Corporation
Team:
Data Organization
Locations:
Remote US
Hiring Ranges:
US Tier 1 Locations: $216,675 USD - $317,790 USD
US Tier 2 Locations: $199,425 USD - $292,490 USD
US Tier 3 Locations: $184,125 USD - $270,050 USD
To learn more about our Hiring Range System, please click this link.
Now more than ever, the Internet is a utility that facilitates modern life. At Mozilla, we take this to heart, striving to build products that keep the Internet open, accessible, and secure for everyone. We need your help to enable the future of Mozilla in a way that makes us proud!
As a Sr. Staff Data Scientist in the Data Organization, you’ll be taking a lead role in a cross-functional team that is responsible for understanding and empowering the future of Mozilla.
The Role
The Data Science team sits at the intersection of product, marketing, engineering, finance, business, and leadership. We collaborate closely with these partners to create impactful data products. As a leader on this team, you will serve as a data expert who can represent the function of data science broadly across Mozilla, while helping the team advance its practice.
As a Sr. Staff Data Scientist at Mozilla you will:
Drive the vision and execution of work, often to address ambiguous issues, that creates impact across organizations.
Generate data-informed insights and communicate these narratives with data to a range of technical and non-technical colleagues to influence decision making and uplevel data fluency across Mozilla
Apply a variety of statistical methods including causal inference to understand the intricate ecosystem of our users, products, partners, revenue against our large scale data to understand ecosystems, user behaviors, and long-term trends. Define, forecast, evaluate and report on key business metrics.
Build key data sets to empower operational and exploratory analysis.
Advocate for standard methodologies across the organization.
Design and implement instrumentation and data models to improve product and business visibility.
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture. You consider contributing to a collaborative and open team culture an important responsibility.
You have a background in quantitative analysis knowing how to analyze, visualize, and interpret data and have 4+ years of experience applying these skills in an industry setting. You have used forecasting or other predictive methods on large scale data. Working on machine learning in production is a plus.
You have experience with extracting data from a variety of sources using SQL or SQL-like tools as well as scripting languages such as Python or R.
You take stakeholder needs into account, bridging methodology and data into meaningful strategy from your analyses. You are a communicator who crafts impactful data narratives that inform company decisions around product, business, and finance.
You have a passion for a healthy web and the well-being of its users. You are conversant about the challenges and opportunities that exist where Mozilla has impact.
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
#LI-REMOTE
Req ID: R2127
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Sr Data Scientist I | Pax8 |
Position Summary:
The Sr. Data Scientist I designs, develops, tests, deploys, maintains, and improves comprehensive data science solutions. They deliver individual projects based upon deadlines and required deliverables. The Sr. Data Scientist builds complex models independently and collaborates with other teams to conduct model reviews. They develop and/or provide technical leadership in the development of machine learning models involving the application of new methods with significant technical risk. The Sr. Scientist prepares detailed plans, which may span over a year for complex projects. They determine model philosophy, goals, and objectives, and participate in the formation of project goals, scope, and schedule.
Essential Responsibilities:
Develops comprehensive data science solutions
Architects and builds machine learning infrastructure, deployment, and monitoring
Mentors junior and mid-level Data Scientists
Includes testing in all aspects of the development process
Participates in project planning and architecture discussions
Leads the adoption of new data science techniques and technologies
Works with stakeholders to determine the desired feature set and develop stable and scalable solutions
Creates descriptive reports and visualizations detailing the performance of advanced analytics projects
Analyzes potential problems and finds solutions to pressing data issues
Participates in on-call rotation
Ideal Skills, Experience, and Competencies:
At least four (4) years of relevant data science experience
Advanced experience with the Python data science stack (pandas, scikit-learn, keras, etc.)
Expert experience with SQL
Intermediate experience with Apache Spark or other distributed processing engines
Advanced experience with supervised and unsupervised machine learning models
Advanced experience with statistical methods
Effective problem solving and troubleshooting abilities
Ability to consistently achieve results, even under tough circumstances
Effective technical leadership abilities
Excellent verbal and written communication skills
Experience with innovative application design and implementation
Ability to make sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
Required Education & Certifications:
M.S./M.A. degree in a technical field; or equivalent work experience
Ph.D. degree in a technical field preferred
Compensation:
Qualified candidates can expect a salary beginning at $140,000 or more depending on experience
#LI-Remote #LI-JF1 #dice-J
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Data Scientist Ii | Pax8 |
Position Summary:
The Data Scientist II develops comprehensive data science solutions, including data extraction, preprocessing, machine learning, and interoperability with other Pax8 products. They mentor junior level Scientists and collaborate with other functional groups to conduct model reviews.
Essential Responsibilities:
Develops comprehensive data science solutions
Develops machine learning infrastructure, deployment, and monitoring
Mentors junior level Data Scientists
Includes testing in all aspects of the development process
Creates descriptive reports and visualizations detailing the performance of advanced analytics projects
Analyzes potential problems and finds solutions to pressing data issues
Participates in on-call rotation
Ideal Skills, Experience, and Competencies:
At least two (2) to six (6) years of relevant data science experience
Intermediate experience with the Python data science stack (pandas, scikit-learn, keras, etc.)
Advanced experience with SQL
Moderate experience with Apache Spark or other distributed processing engines
Intermediate experience with supervised and unsupervised machine learning models
Intermediate experience with statistical methods
Effective problem solving and troubleshooting abilities
Ability to consistently achieve results, even under tough circumstances
Required Education & Certifications:
B.A./B.S. in related field or equivalent work experience
M.S./M.A. in related field or equivalent work experience preferred
Compensation:
Qualified candidates can expect a salary beginning at $125,000 or more depending on experience
#LI-Remote #LI-JF1 #Dice-J
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Data Scientist Product Marketing | You Com |
About You.com
You.com is the world's first open search engine platform that summarizes the web for users, with no ads, superior privacy choices, and personalization through preferred sources.
You.com is more than just a new search engine — it's a movement to make the internet a place of trust, facts, and kindness — our guiding principles that we're committing to from day one.
It's an audacious goal, but we're ambitious people. We're looking for a few more ambitious folks to join our team.
We’re not just wide-eyed dreamers – we’re pragmatic doers, too. Our founder and CEO, Richard Socher previously started an AI company called MetaMind. Salesforce acquired the company, and Richard became Chief Scientist, leading the company’s AI efforts. Prior to MetaMind, Richard received the best Ph.D. thesis award from Stanford for his groundbreaking work on deep learning. Bryan McCann, co-founder and CTO, is a scientist and philosopher who led natural language processing teams at Salesforce after completing his Master's in C.S. at Stanford. Our founding team members have built companies worth hundreds of millions of dollars and scaled software to serve millions of users. For fun, we run marathons, paramotor, write poetry, read Latin, hike, and camp in the middle of nowhere.
If this sounds intriguing, say hello!
About the Job
We are hiring a world-class data scientist to help us understand our marketing funnels and how our users interact with our product.
You will work closely with our product and marketing teams to derive actionable insights from user data, and help us make data-driven decisions on our product roadmap. To succeed at this job you need to have data science experience as well as an understanding of user behavior and customer development.
You have:
3+ years of experience in analyzing and interpreting data using statistical techniques and tools.
Proficiency in SQL and experience with data analysis tools such as as Databricks & Scuba.
2+ years of experience with web analytics and tracking tools, such as Google Analytics, Snowplow or other customer data platforms.
Experience with A/B testing methodologies and experimentation frameworks.
Strong communication skills and ability to present complex data findings in a clear and concise manner.
You will:
Analyze and interpret user behavior data to identify actionable insights that can inform product and marketing decisions.
Collaborate with cross-functional teams to design and execute A/B tests.
Communicate complex data findings to stakeholders in a clear and concise manner.
#LI-REMOTE
More about You.com
You.com is an equal opportunity employer: your race, color, religion, sex, sexual orientation, gender identity, national origin, or disability status don’t matter. We’re committed to building a diverse, inclusive, and supportive workplace that is effectively distributed around the world.
We're a remote-first company, but work hours are generally within the Pacific Timezone (7 hours behind UTC). We get together in-person regularly as a team, but as long as your able to maintain significant overlap with Pacific hours during the workday we're comfortable hiring in almost any location (location-specific legal requirements permitting).
Benefits
• Competitive salary and equity
• Great health, dental, and vision insurance for you and your family
• 401(k) plan
• Unlimited time off (4+ weeks encouraged annually)
• Generous parental leave
• Flexible work hours
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Senior Data Scientist | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Data Scientist to join our real-time bidder team, one of the most exciting and important products within Chartboost. This role will be focused on ad ranking, which ensures that our DSP is bidding on the most promising inventory for our advertisers. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time.
Impact you will make:
Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward
Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and enhance model infrastructure
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in data science or machine learning roles
Experience with recommendation systems or ML for ranking and relevance
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
The following experience would be a plus:
Hands on with deep learning in production pipelines
Ad tech and/or mobile space
Perks:
Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely.
Private health insurance
Life insurance
Optical complement for glasses or contact lenses.
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Data Science Manager | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Manager of Data Science to join a team focused on the development of pricing and ranking Machine Learning models that power our real-time bidder, one of the most exciting and important products within Chartboost. These models help predict the propensity for a user to spend money within a mobile game, one of the key KPIs our advertising partners measure for the success of their User Acquisition strategies. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges.
Impact you will make:
Build and manage a team of Data Scientists responsible for pricing and ranking models
Mentor team members and help guide them in their career development
Design and test predictive models at large scale that control real money
Find new and creative ways to utilize the massive piles of data we have using both supervised and unsupervised methods
Generate insightful and actionable information driving ranking and revenue performance by using rigorous scientific and statistical methods
Train and tune learning models offline, provide clear guidelines for A/B testing and production launch
Analyze millions of structured and unstructured data points and identify meaningful features/signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and infrastructure
Define, advocate, and maintain high standards for data quality
Develop best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role
2+ years of experience managing a Data Science team
Diverse exposure to many different Machine Learning and modeling techniques such as NLP or deep networks as well as traditional modeling techniques
Ability to make progress independently: you know enough SQL to pull your own data and have mastered a programming language enough to assist you in analysis
You have a sound understanding of Data Science and Machine Learning principles
The following experience would be a plus:
Ad tech and/or mobile games space
Perks:
Comprehensive medical, dental and vision insurance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
This is a fully remote role that may be based anywhere in the United States. The pay range for this position in California at the start of employment is expected to be between $145,000 and $270,000 per year. For applicants based in Colorado at the start of employment is expected to be between $95,000 and $222,000 per year. For applicants based in New York City and New Jersey at the start of employment is expected to be between $140,000 and $255,000 per year.
However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
The pay range for this position for applicants based in Washington at the start of employment is expected to be between $130,000 and $237,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan, in addition to a full range of medical, dental, vision, and basic life insurance. Employees will also receive 13 paid holidays per calendar year, unlimited discretionary time off, and will receive 10 sick days per calendar year. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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Data Science Intern | Civitech |
Introduction:
Civitech is a public benefit corporation dedicated to creating a fairer and more equitable democracy by building the tools and infrastructure needed to increase civic participation, empower Democratic candidates to win, and support the success of progressive causes.Since its founding in 2019, almost 400 partners -- a range of nonprofit organizations, national political committees, and individual campaigns -- have utilized Civitech’s tools to reach tens of millions of voters to help create a more equitable and progressive democracy.
The Data Science Intern will work closely with the Data Science team to deliver data products and analysis to our clients.
It is important that our team reflects the diversity of the organizations we seek to serve. We strongly encourage women, people of color, LGBTQ people, and others otherwise underrepresented in the technology sector to apply.
Applications received by April 24 will be given priority, and applications close April 28.
What You Will Do:
Learn about the data ecosystem around political campaigns in general and Civitech’s products specifically
Write SQL queries to build status reports for our voter outreach programs
Troubleshoot bug reports relating to our data products
Collaborate with Civitech’s team of data scientists/analysts/engineers every day
Build machine learning models to predict voter actions.
About You:
Familiar with SQL and one or more programming languages for analysis e.g. python or R
Enjoys diving into the details of technical/data problems and communicating out the process and results of investigations
Committed to leveraging technology and data products to help Democratic candidates run for office and win, empower progressive causes, and increase civic participation
About Civitech's Summer Internship Program:
This is a paid internship program, and interns will be compensated $17/hour for 20-30 hours of work per week spread over 3 days.
This program lasts 10 weeks, beginning June 5, 2023 and completing August 11, 2023. However, we are flexible and can adjust start and end dates to work with our intern’s academic calendar.
This program is for any college student. We encourage students from any 2 or 4 year college or university in the United States to apply—school credit is not required. This program is also for individuals early on in their careers who are not currently pursuing a degree.
Civitech is a remote company with a small office in Austin, Texas. Interns can work remotely or out of our Austin office.
You will do real work that will contribute to our mission to increase civic participation, empower Democratic candidates to win, and support the success of progressive causes.
You will work closely with your manager and staff in your department, and also have the opportunity to meet interns and staff in other departments.
In lieu of a cover letter, please answer the four questions listed in the application.
Civitech is not able to provide visa sponsorship at this time.
Civitech provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.
No recruiters or agencies, please!
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Arity Data Scientist Expert Ml 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 Role:
We are seeking a highly motivated and experienced Data Scientist - Expert ML Researcher to work across Arity and tackle our toughest technical challenges to lay the foundation for future success in coming years. As a member of the Core Telematics Data Science team, you will enjoy the strong partnership and collaboration of other data scientists and experts who are as passionate about shaping the future of mobility data science as you are. You will shape the research roadmap by finding the most impactful projects and help establish our research strategy for how we engage internal teams as well as external partners. 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 an expert 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:
Make deep technical contributions to the Core Telematics Data Science team by building models, pipelines, or prototypes and reviewing the contributions of others
Key contributor to the vision, strategy and roadmap of the Core Telematics Data Science team using your technical expertise and domain knowledge
Encourage risk taking and innovation while keeping an eye towards business value
Help Arity continue to improve data science and ML practices across the team, and consult across product teams on DS/ML architecture, patterns and best practices
Bring in external 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.
Build the Arity technical brand by engaging in conferences, meetups, blogs, and other external public engagements
Support recruiting by leading efforts to build relationships in the industry, attend career fairs and create strong interviewing pipelines
Qualifications:
Advanced degree in Geospatial Science, Mathematics, Statistics, Physics, Computer Science, or Engineering, or related quantitative field preferred
Deep subject matter expertise in data science gained from academic studies and/or 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
Broad knowledge of the landscape of statistical and machine learning techniques (both traditional and deep learning). Proven ability 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 in sensors, telematics, insurance, geospatial, data science on the edge, or other domains specifically relevant to our work is a big plus, but not required
Ability to envision and articulate radical change through highly innovative thought leadership
Comfortable in a fast-paced environment with high ambiguity; inspires others to embrace this
Competitive with themselves while being humble
Notes:
The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.
Compensation offered for this role is $154,400.00-$210,350.00 per year and is based on experience and qualifications.
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.
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 Science Manager Advertising Technology | 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 Role:
The Advertising Data Science team seeks new ways to use mobile data to target audiences based on Arity insights. These insights are derived from driving data, location tracking, and other consumer profile data collected from our mobile partners. Our products allow advertisers to access telematics risk scores and mobility patterns to plan and target their efforts to reach consumers on both public platforms and Arity’s private marketplace. As an Analytics Manager on the Advertising Data Science team, you will be responsible for leading and inspiring a world-class group of data scientists, data engineers and business analytics consultants to develop and deliver our advertising products on both platforms. Some projects include
Expand and create varieties of audiences in scale based on location data such as risk, mileage, commute
Measure marketing effectiveness via location data and develop attribution models
Design the framework and implement the analytical solution for real-time bidding on Arity Advertising Platform
You are expected to influence the product strategy from a strong analytics lens. You will also help us recruit and lead top talent and have a key voice in the analytics operations at Arity.
Responsibilities:
Your day-to-day looks like:
Be a servant leader for technical contributors in Analytics roles engaged with cross-functional product development teams through coaching and mentoring
Develop strategic analytics visions based on the product needs
Translate strategic vision into priorities and tangible tracks of backlogs using data science expertise
Provide technical direction to the team to ensure timeliness and quality of deliverables
Work with engineering team to productionize our insights in an efficient way
Get your hands dirty, dive into the data, and run analysis or build models whenever needed
Drive continuous improvement of data science, data engineering practices to create world-class capabilities
Support sales and customer success efforts by demonstrating Arity analytics maturity coupled with humility and empathy
Build the Arity brand by engaging in conferences, meetups, blogs and other external public engagements
Drive recruiting by leading efforts to build relationships in the industry, attend career fairs and create strong interviewing pipelines
Required Qualifications:
Bachelor’s degree in Data Science, Geospatial Science, Mathematics, Statistics, Physics, Computer Science, Engineering, or in a related field. A Master’s degree is preferred.
At least 5 years of industrial experience in marketing data analytics with solid knowledge on digital and programmatic marketing and common KPIs such as CPC, CPM
Working knowledge on marketing analytics, geospatial analysis, business intelligence, data engineering, machine learning, or other analytics experience in a business context, as well as hands-on experience using various tools such as Python, Spark, Tableau, etc.
Experience working in cloud-first environments, particularly AWS, EMR studio, Glue, Sagemaker
Experience of managing technical teams including data scientists, data engineers, and data analysts
Experience of leading end-to-end data science projects to generate measurable business values
Preferred Qualifications:
Demonstrated ability to deliver results on cross-functional projects in marketing campaigns with measurements
Highly innovative thought leaders who envision and articulate radical change
Inspires/mentors/coaches people to be bold and do the best work of their careers
Proven champions of agile product development practices and respected by peers for their technical prowess
Great interpersonal communicators / collaborators with both technical and non-technical team members
Compensation offered for this role is $130,400.00-$179,675.00 per year and is based on experience and qualifications.
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.
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 | Sporty Group |
Sporty's sites are some of the most popular on the internet, consistently staying in Alexa's list of top websites for the countries they operate in
As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges, translating them into supervised and/or unsupervised learning problems.
Who We Are
Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents.
The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution.
We have already built a capable and proven team of 300+ high achievers from a diverse set of backgrounds and we are looking for more talented individuals to drive further growth and contribute to the innovation, creativity and hard work that currently serves our users further via their grit and innovation.
Responsibilities
Create data science solutions to address a variety of business challenges that can be translated to supervised and/ or unsupervised learning problems using statistical and machine learning models
Participate in monitoring and evaluation of performance of existing models
Develop advanced quantitative models and concepts, such as LTV models, churn models, and recommendation engines
Collaborate with global teams of developers, traders and product developers to better understand business requirements and deliver end product to the clients
Implement and test the researched fixed income models using the risk research data
Liabilities and probabilities calculations
Knowledge sharing and methodological supervision of more junior team members
Requirements
Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models
Ability to critically evaluate and find flaws in existing data science solutions
4+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role.
Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering
Strong knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods
Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models (e.g., random forests), support vector machines, PCA, clustering models, matrix factorization, deep learning, etc
Experience using statistical and machine learning models to contribute to company growth efforts, impacting revenue and other key business outcomes
Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch, SHAP)
Knowledge of SQL and experience with relational databases
Agile, action-oriented
Nice to have
PhD or Master’s degree in applied mathematics, Computer Science, Financial Engineering, Technology or Engineering
Apache Spark
Experience working in cloud platforms (AWS, GCP, Microsoft Azure)
Relevant knowledge or experience in the gaming industry
Benefits
Quarterly and flash bonuses
Flexible working hours
Education allowance
Referral bonuses
28 days paid annual leave
2 x annual company retreats (Lisbon + Dubai in 2022 / Phuket in Q2 2023 + 1 more TBC!)
Highly talented, dependable co-workers in a global, multicultural organisation
Payment via world class online wallet system DEEL
Top of the line equipment supplied by market leader Hofy
We score 100% on The Joel Test
Our teams are small enough for you to be impactful
Our business is globally established and successful, offering stability and security to our Team Members
Our Mission
Our mission is to be an everyday entertainment platform for everyone
Our Operating Principles
1. Create Value for Users
2. Act in the Long-Term Interests of Sporty
3. Focus on Product Improvements & Innovation
4. Be Responsible
5. Preserve Integrity & Honesty
6. Respect Confidentiality & Privacy
7. Ensure Stability, Security & Scalability
8. Work Hard with Passion & Pride
Interview Process
HackerRank Test
Remote video screening with our Talent Acquisition Team + live ID check
Remote 90 min video interview loop with 3 x Team Members (30 mins each)
Pre offer call with Talent Acquisition Team
ID check via Zinc
24-72 hour feedback loops throughout process
Working at Sporty
The top-down mentality at Sporty is high performance based, meaning we trust you to do your job with an emphasis on support to help you achieve, grow and de-block any issues when they're in your way.
Generally employees can choose their own hours, as long as they are collaborating and doing stand-ups etc. The emphasis is really on results.
As we are a highly structured and established company we are able to offer the security and support of a global business with the allure of a startup environment. Sporty is independently managed and financed, meaning we don’t have arbitrary shareholder or VC targets to cater to.
We literally build, spend and make decisions based on the ethos of building THE best platform of its kind. We are truly a tech company to the core and take excellent care of our Team Members.
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Data Scientist | Sporty Group |
Sporty's sites are some of the most popular on the internet, consistently staying in Alexa's list of top websites for the countries they operate in
As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges, translating them into supervised and/or unsupervised learning problems.
Who We Are
Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents.
The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution.
We have already built a capable and proven team of 300+ high achievers from a diverse set of backgrounds and we are looking for more talented individuals to drive further growth and contribute to the innovation, creativity and hard work that currently serves our users further via their grit and innovation.
Responsibilities
Create data science solutions to address a variety of business challenges that can be translated to supervised and/ or unsupervised learning problems using statistical and machine learning models.
Participate in monitoring and evaluation of performance of existing models.
Develop advanced quantitative models and concepts, such as LTV models, churn models, and recommendation engines.
Collaborate with global teams of developers, traders and product developers to better understand business requirements and deliver end product to the clients.
Implement and test the researched fixed income models using the risk research data.
Liabilities and probabilities calculations.
Requirements
Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models.
2+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role.
Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering.
Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods.
Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models (e.g., random forests), support vector machines, PCA, clustering models, matrix factorization, deep learning, etc.
Experience using statistical and machine learning models to contribute to company growth efforts, impacting revenue and other key business outcomes.
Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch).
Knowledge of SQL and experience with relational databases.
Agile, action-oriented.
Nice to have
Nice to have
Apache Spark.
Experience working in cloud platforms (AWS, GCP, Microsoft Azure).
Relevant knowledge or experience in the gaming industry
Benefits
Quarterly and flash bonuses
Flexible working hours
Education allowance
Referral bonuses
28 days paid annual leave
2 x annual company retreats (Lisbon + Dubai in 2022 / Phuket in Q2 2023 + 1 more TBC!)
Highly talented, dependable co-workers in a global, multicultural organisation
Payment via world class online wallet system DEEL
Top of the line equipment supplied by market leader Hofy
We score 100% on The Joel Test
Our teams are small enough for you to be impactful
Our business is globally established and successful, offering stability and security to our Team Members
Our Mission
Our mission is to be an everyday entertainment platform for everyone
Our Operating Principles
1. Create Value for Users
2. Act in the Long-Term Interests of Sporty
3. Focus on Product Improvements & Innovation
4. Be Responsible
5. Preserve Integrity & Honesty
6. Respect Confidentiality & Privacy
7. Ensure Stability, Security & Scalability
8. Work Hard with Passion & Pride
Interview Process
HackerRank Test
Remote video screening with our Talent Acquisition Team + live ID check
Remote 90 min video interview loop with 3 x Team Members (30 mins each)
Pre offer call with Talent Acquisition Team
ID check via Zinc
24-72 hour feedback loops throughout process
Working at Sporty
The top-down mentality at Sporty is high performance based, meaning we trust you to do your job with an emphasis on support to help you achieve, grow and de-block any issues when they're in your way.
Generally employees can choose their own hours, as long as they are collaborating and doing stand-ups etc. The emphasis is really on results.
As we are a highly structured and established company we are able to offer the security and support of a global business with the allure of a startup environment. Sporty is independently managed and financed, meaning we don’t have arbitrary shareholder or VC targets to cater to.
We literally build, spend and make decisions based on the ethos of building THE best platform of its kind. We are truly a tech company to the core and take excellent care of our Team Members.
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Data Scientist Canada | Tiger Analytics |
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Bachelors Degree in Data Science, Computer Science, or related field 5+ years of Data Science and Machine Learning experience required Proficiency with Data Science concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, R Shiny, etc. preferred Data Analtics background is preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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Senior Data Scientist | Sofi |
The Role
We are seeking a full stack Senior Data Scientist who will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi, supporting our partnerships business unit, SoFi Protect-At Work-Lantern. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.
What you’ll do:
Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics.
Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports.
Act as a curator of data by defining, instrumenting, and tracking necessary analytics of our products by working cross functionally with engineering and product teams.
Build self-service systems to enable others in the organization to leverage your work.
Analyze and perform statistical analysis on data that underlies product experiments.
Build models to help decision makers understand customer behaviors and segmentation
Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence
You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.
What you’ll need:
Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
3+ years of relevant work experience
Intellectual curiosity and aptitude to pick up new technical skills
Exceptional problem-solving skills
Ability to initiate and drive projects to completion with minimal guidance
High EQ with ability to influence outcomes and communicate technical content to general audiences
Strong programming skills in SQL, Python and proficiency in Tableau
Experience with experimentation and hypothesis testing
Ability to work in a dynamic, cross-functional environment, with strong attention to detail
Strong relationship building and collaborative skills
Experience with using Airflow/DBT to build Data Pipelines in Snowflake
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Senior Data Scientist | Soona |
about the senior data scientist role:soona is looking for a data scientist to join our machine learning and recommendations team as we continue to build a world-class data organization. you will be responsible for creating and maintaining image-based content recommendation models and working with machine learning engineers to develop the services that provide real-time inference. to be successful in this role, you will bring your expertise in building recommender systems to establish a new product offering at soona. as such, you will lead the technical execution for our content recommendation offerings and work cross-functionally with our product and engineering teams to turn our recommendations into customer-facing products.this is a full time position that will report directly to the senior director of data science.about soona:soona makes it possible for brands to create professional photo and video starting at $39. our studios give customers a playground for creating their content and our online platform makes it possible for any product company in the world to experience a remote shoot. we are creating a fast casual content revolution!soona is currently supporting a US remote work environment for this role with opportunity for a flex hybrid work environment within our operating cities--Denver and Minneapolis, if that’s your thing.about tech at soona:at soona, we’re focused on building a world-class engineering and data organization. we’re developing a highly-scalable platform for real-time customer engagement with our studio creatives and technology that optimizes the content they create. our typical engineering and data projects blend SaaS with e-commerce, providing opportunities to work on everything from app engineering and cloud/server architecture to computer vision and logistics/routing optimization. our tech stack consists primarily of ruby on rails, javascript vue, and python. we pride ourselves on our culture of innovation, community engagement, technical mentorship, and caring for the individual.our hiring philosophy:at soona, we look for representation across all intersectionalities of identities, specifically within underrepresented groups. it is these differences that push us towards innovation, curiosity, and success in our business. we believe in providing equal employment opportunities without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by laws or regulations in the locations we operate. this means that timelines of processes may be impacted, depending on our applicant pools.an ideal candidate can: design, train, and evaluate machine learning models for recommendation engines evaluate content performance for our customers to optimize images and styling classify users via behavior analysis, segmentation, and user profiling techniques run experiments and a/b testing to evaluate performance of recommender systems process data through our data pipelines for feature engineering create internal apps that serve up model outputs and predictions in real-time deliver quality code in an agile framework that ships to a production environment correlate work to business KPIs and be accountable for improvement targets communicate with data and engineering teams as well as business stakeholders has experience in: effectively communicating and coding in a remote work environment content-based and collaborative filtering for recommendation models a/b testing, experimentation, and performance evaluations of recommender systems leveraging data science libraries like scikit-learn and pytorch (or similar) python – the core language of the data organization sql – optimizing performance/transformation efficiencies on OLAP data warehouses dbt – our primary data transformation layer aws or equivalent cloud environment computer vision modeling and image processing (preferred) deploying machine learning models into production services (preferred) looker, segment, airbyte, docker, flask/fastAPI (preferred) working in a startup environment (preferred) we can offer: starting salary: $150,000 - $170,000 stock options in a booming startup benefits & perks + unlimited pto + intentional culture really badass headshots
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Staff Data Scientist Ad Formats Optimization Analytics | Reddit |
Location: US remote friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
We are looking for a results-oriented and strategically minded Product Data Scientist to work with our Ads Formats & Optimization product team on launching new products to improve the Ads user experience and launch new innovative formats to draw more advertisers to the Reddit ads platform. You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product strategy and unlock novel ways to improve the advertiser experience.
If helping Reddit’s advertising business reach the next level excites you, then you’ve found the right place. We’re a company with one of the highest employee : user ratios in the industry, giving you a tremendous opportunity for both scope & impact.
How You'll Have Impact:
Partner with the product engineering team working on Reddit’s Ads Formats & Optimization team. Providing thought partnership on projects ranging from…
Identifying and opportunity sizing new, innovative ad formats
Improving existing ad formats through rapid experimentation
Researching new product surfaces ready for ads monetization
Collaborate with product teams on all aspects of development - everything from product ideation to experiment analysis to KPI reporting
Drive product-oriented research projects to identify new opportunities for the Ads Platform team to pursue
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the ads organization.
Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.
Responsibilities:
Act as an owner by partnering with the Ads Formats & Optimization team on product development
Become an expert on users’ ads experiences on Reddit - designing & analyzing experiments to test improvements to our platform
Build KPI reporting & ETLs to track the performance of Reddit’s Ads Formats & Optimizations team
Learn how Advertisers interact with the Reddit platform and research how their experience could be improved
Collaborate with Product Marketing Managers to develop go to market strategies and drive product adoption
Partner with the Ads Engineering team to understand new data & schemas and ensure the data we log in new products is accurate
Required Qualifications:
5+ years of experience in data analytics or related quantitative role
Influence and guide product strategy with data
Able to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Experience in online advertising & ads marketplaces or in UX experimentation
Benefits:
Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $183,500 - $275,300.
#LI-Remote #LI-NH1
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Lead Applied Data Scientist Experience With Media Mix Modeling | Civis Analytics |
What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
Job Description
Are you interested in using data science to solve new and challenging problems in innovative ways — like helping a media conglomerate measure the impact of their marketing and advertising campaigns to optimize investments across a wide range of media channels? Civis Analytics is looking for a Lead Applied Data Scientist to join our commercial Applied Data Science (ADS) practice and help us solve some of the most challenging and interesting questions facing Media businesses today.
The Applied Data Science team is the advisory arm of Civis Analytics, working closely with organizations to help solve their toughest challenges with data science. Our Media sector practice provides data science solutions for media conglomerates, nonprofits, and advocacy groups seeking to leverage media-mix-modeling to reach their target audiences in the most effective way.
Responsibilities
A Lead ADS runs the end-to-end execution of client engagements utilizing data science, which includes:
Handling client relationships and communication on day-to-day projects and initiatives, with stakeholders of varying technical experience or familiarity with methods
Design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
Managing the unification of large 1st- and 3rd-party datasets, and building predictive models
Translating findings into clear, actionable, and timely insights with the appropriate business context
As part of the Media sector practice:
Work closely with Applied Data Science teams to develop performance measurement reporting and media mix modeling to demonstrate the impact of cross channel activities through media
Influence and collaborate on channel-level media strategies based on marketing, audience, and consumer insights.
Collaborates with stakeholders and leadership to ensure that the most effective channel mix is implemented to achieve our customer’s strategic business priorities
Other job responsibilities include:
Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology.
Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Assisting with new business development by scoping projects, writing proposals, and building case studies and other collateral
Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages
Teaching and mentoring more junior Applied Data Scientists
Qualifications
Must have experience with Media or Marketing Mix Modeling
Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
6+ years of work or post-graduate experience in a field of analytical science
Proven success in using data insights and analytics to inform audiences, markets, and targeting to optimize campaign performance and drive acquisition
Experience in designing and analyzing in-market survey research
Understanding of online and offline media planning to define and rationalize the best channel mix to maximize the reach and impact against different audiences
Shown affinity for and experience working with large or messy data sets
Proficiency with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
Proficiency with presentation or data visualization software, such as Microsoft PPT, Tableau, Shiny, etc.
Excellent interpersonal and communication skills
US work authorization
Preferred Qualifications
Experience framing and communicating analytical results to stakeholders at a variety of levels
SQL experience
Experience working in a consulting or advisory function
Experience mentoring more junior members of a team
Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with software development tools and practices (Git, code review, etc.) Competencies
Experience in designing and analyzing in-market survey research
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review.
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.
Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected].
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
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Senior Staff Data Scientist | Mozilla |
Sr. Staff Data Scientist
at Mozilla Corporation
Team:
Data Organization
Locations:
Remote Canada
Hiring Ranges:
Canada Tier 1 Locations: $191,475 CAD - $280,830 CAD
Canada Tier 2 Locations: $173,175 CAD - $253,900 CAD
To learn more about our Hiring Range System, please click this link.
Now more than ever, the Internet is a utility that facilitates modern life. At Mozilla, we take this to heart, striving to build products that keep the Internet open, accessible, and secure for everyone. We need your help to enable the future of Mozilla in a way that makes us proud!
As a Sr. Staff Data Scientist in the Data Organization, you’ll be taking a lead role in a cross-functional team that is responsible for understanding and empowering the future of Mozilla.
The Role
The Data Science team sits at the intersection of product, marketing, engineering, finance, business, and leadership. We collaborate closely with these partners to create impactful data products. As a leader on this team, you will serve as a data expert who can represent the function of data science broadly across Mozilla, while helping the team advance its practice.
As a Sr. Staff Data Scientist at Mozilla you will:
Drive the vision and execution of work, often to address ambiguous issues, that creates impact across organizations.
Generate data-informed insights and communicate these narratives with data to a range of technical and non-technical colleagues to influence decision making and uplevel data fluency across Mozilla
Apply a variety of statistical methods including causal inference to understand the intricate ecosystem of our users, products, partners, revenue against our large scale data to understand ecosystems, user behaviors, and long-term trends. Define, forecast, evaluate and report on key business metrics.
Build key data sets to empower operational and exploratory analysis.
Advocate for standard methodologies across the organization.
Design and implement instrumentation and data models to improve product and business visibility.
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture. You consider contributing to a collaborative and open team culture an important responsibility.
You have a background in quantitative analysis knowing how to analyze, visualize, and interpret data and have 4+ years of experience applying these skills in an industry setting. You have used forecasting or other predictive methods on large scale data. Working on machine learning in production is a plus.
You have experience with extracting data from a variety of sources using SQL or SQL-like tools as well as scripting languages such as Python or R.
You take stakeholder needs into account, bridging methodology and data into meaningful strategy from your analyses. You are a communicator who crafts impactful data narratives that inform company decisions around product, business, and finance.
You have a passion for a healthy web and the well-being of its users. You are conversant about the challenges and opportunities that exist where Mozilla has impact.
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
#LI-REMOTE
Req ID: R2127
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Director Of Data Science Business Intelligence | Hims Hers |
Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. We connect consumers to licensed healthcare professionals, enabling people to access high-quality medical care—from wherever is most convenient—for numerous conditions related to sexual health, hair care, mental health, skincare, primary care, and more.
With products and services available across all 50 states and Washington, D.C., Hims & Hers is on a mission to help the world feel great through the power of better health. We believe how you feel in your body and mind transforms how you show up in life. That’s why we’re building a future where nothing stands in the way of harnessing this power. We normalize health & wellness challenges—and innovate on their solutions—to make feeling happy and healthy easy to achieve. No two people are the same, so we provide access to personalized care designed for results. At our core, our mission is deeply personal—because we too are customers.
In January 2021, the company was listed on the NYSE and is traded under the ticker symbol “HIMS”. To learn more about our brand and offerings, you can visit forhims.com and forhers.com.
About the Role:
As Director of Data Science & Business Intelligence you will be empowered to build an enterprise Data Science and BI capability. This role will be critical in scaling our BI infrastructure and unlocking the power of data science in creating stickier experiences to our customers. Your knowledge of statistics, BI infrastructure, and analytics methods combined with your strong management and communication skills will determine how we evolve key areas of our business. In this role you will be a player-coach, fully remote and report to senior leaders in the Analytics and Finance Organization.
You Will:
Build & scale our data science team, ultimately helping our business make decisions better
Create a data science roadmap that aligns with key areas of the business and unlocks value
Create and deliver on a business intelligence roadmap that scales our infrastructure, reporting and data model capabilities
Outline the customer journey, and identify levers the business can pull to delight our customer and create sticky experiences
Create multivariate models that showcase the key drivers of customer retention and churn
Collaborate cross functionally with analytics teams, engineering teams, and groups of passionate stakeholders dedicated to improving our customer experience
Distill our knowledge of the consumer into playbooks, data visualizations effectively putting knowledge into action that helps out business make decisions better
You Have:
9+ years of analytics experience
5+ years of leading analytics and data science teams with direct reports
Strong SQL skills
Expert proficiency in Python or R
Hands-on experience in statistics and machine learning, both in building and maintaining models as well as coaching and helping analysts choose the right methods to solve the problem at hand
Advanced knowledge of data visualization and BI in Looker or Tableau
Advanced knowledge of data models, infrastructure and data architecture
Comfort with ambiguity, evolving priorities, and an ability to lead a team and operate autonomously
Ability to explain technical analyses to non-technical audiences
Strong storytelling skills with the ability to coach and teach best practices
A Big Plus If You Have:
Extensive experience working with Data Engineering
DBT, airflow, and Databricks experience business intelligence and data science enterprise teams in the past
An advanced degree in Data Science or Statistics or a Ph.d in a related field
Our Benefits (there are more but here are some highlights):
Employee Stock Purchase Program
An inclusive culture where we are always seeking improvement and cherish your input
Great compensation package with equity compensation
Unlimited PTO (10 holidays off), Mental Health days (1 day off per quarter)
Generous Parental Leave
High-coverage medical, dental & vision
Mental health & wellness benefits
Offsite team retreats
Access to Amazon HIMS Store to order any additional equipment to ensure you have the gear you need
Employee discounts on hims & hers & Apostrophe online products, and Apple Store
$75 monthly connectivity stipend (phone/internet)
401k Match
We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
Outlined below is a reasonable estimate of H&H’s compensation range for this role.
An estimate of the current salary range is $175,000 - $225,000 H&H also offers a comprehensive Total Rewards package that includes equity grants of restricted stock (RSU’s) so that H&H employees own a piece of our company.
The actual amount will take into account a range of factors that are considered in making compensation decisions including but not limited to, skill sets, experience and training, licensure and certifications, and location.
Consult with your Recruiter during any potential screening to determine a more targeted range based on the job-related factors. We don’t ever want the pay range to act as a deterrent from you applying!
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Senior Data Scientist | Muckrack |
We’re looking for a senior data scientist to join our quickly growing team and make a big impact.
As a senior data scientist in the Tech org, you’ll work closely with data scientists, software engineers, product managers, and designers, to develop Machine Learning technologies which help simplify the jobs of our users. You’ll work on major technical projects with large data volumes, lead the building of new features, and help shape our engineering culture and processes. Our technology team is focused on scale, quality, delivery, and thoughtful customer experience.
To be set up for success in this role, you’ll need to have:
5+ years total professional experience with Machine Learning or Statistical Analysis
A capacity for a high degree of autonomy and out-of-the-box thinking
The ability to write sophisticated data analysis & machine learning code in Python
A commitment to collaborating closely with other engineers and across functions
If any of the below also describe you, this could be an exciting opportunity:
Worked on a complex, high-traffic site at a startup or software-as-a-service company, ideally with large amounts of data
Experience with text modeling, NLP, and large language models
Interest in search
Interest in journalism, news, media, or social media
In addition, we’re always looking for candidates who:
Perform an analysis to make a recommendation to other team members as to whether data science methods can be used to solve a given problem
Research and evaluate new analytical methodologies, approaches, and solutions
Build, test, and deploy supervised or unsupervised learning models
Write queries (SQL, elastic search) to grab the right set of data to solve their problem
Build tools to enable other data scientists to scale their knowledge and increase impact
Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers
Participate in code reviews and model reviews of their teammates
Interview Overview
Below you'll find an outline of the interview plan for this role. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
30 min interview with a member of our Talent Team
1 hour zoom interview with the hiring manager
Take-home coding assignment (2 hours max)
Peer interviews, including a 30 min code review discussion
Final call(s) with executive team member(s)
Salary
The starting salary for this role is between $140,000 - $172,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. For all other countries, we have competitive pay bands based on market standards.
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Data Scientist | Live Nation |
Job Summary:WHO ARE WE?Live Nation Entertainment is the world’s leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network. Ticketmaster.com is the global event ticketing leader and one of the world’s top five eCommerce sites, with over 26 million monthly unique visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally. Front Line is the world’s top artist management company, representing over 250 artists. These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. For additional information, visit www.livenation.com/investors.WHO ARE YOU?Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! THE TEAMAbuse Operations is a centrally managed command and control center for abuse investigations, escalations, policy enforcement, and tooling for all global Live Nation ticketing systems. THE ROLEAs the Data Scientist for Abuse Operations, you'll be part of a mission critical team protecting the Live Nation ticketing platforms from abusive entities or those who deploy abusive digital behaviors designed to circumvent our controls that protect fair access to tickets. The Data Scientist is responsible for producing and operationalizing reports to provide business insight on system abuse across global ticketing platforms. WHAT THIS ROLE WILL DO
Architect data structures, feeds and reports to provide real-time reporting and alerting focused on abuse analytics for concert ticket onsales & post-purchase activities.
Build ETL processes & operationalize data feeds, ensuring data availability & accuracy.
Complex reporting & data analysis projects to evaluate emerging trends and hypothesis.
Lead reporting systems and tool reviews and evaluation
Act as a source of truth for abuse prevention data and analytics.
Ongoing self-directed analysis to uncover data trends and system usage patterns.
Drive continuous improvements to our products, tools, and processes by sharing learnings, constructive feedback, and input with internal technical and analytics teams.
Independently learn new technologies and master Live Nation ticketing platforms data & tools.
WHAT THIS PERSON WILL BRING
5+ years’ experience in Data Science or Data Analysis in an entertainment or B2C environment
Extensive knowledge and experience working with large global data sets from multiple source systems
Strong experience with synthesizing & summarizing large data sets into trends to drive strategic business decisions & hypothesis evaluations
Strong Proficiency in SQL Queries and scripting languages (Python preferred)
Extensive knowledge of database and analysis tools such as Splunk, Kibana, DataBricks, Snowflake, etc.
Experience with Incident and change management
Experience in a global, fast-paced environment, resolving multiple interrupt-driven priorities simultaneously
Exceptionally focused on quality, accuracy & attention to detail
Excellent pattern recognition, and a general curiosity to uncover trends & evaluate data anomalies.
Passionate and motivated, resourceful, innovative, forward-thinking
Strong communication skills and the ability to summarize complex analysis into executive updates
Ability to work with autonomy while ensuring that new knowledge is shared with technology & analytics teams
Committed and able to adapt quickly
Embrace continuous learning and continuous improvement
Passion for live music and the concert experience
BENEFITS & PERKSOur motto is ‘Taking Care of Our Own’ through 6 pillars of benefits:
HEALTH: Medical, Vision and Dental benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs)
YOURSELF: Generous paid time off policy including paid holidays, sick time and paid days off for your birthday, Free concert tickets
WEALTH: 401(k) program with company match, Stock Program
FAMILY: New parent programs & support including caregiver leave and childcare cash, infertility support
CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings
OTHERS: Volunteer time off, crowdfunding network
Live Nation’s policy regarding vaccinations and masking will evolve based upon updated regulations and factors related to COVID-19. Currently, we strongly encourage employees to be fully vaccinated or have received a negative COVID test within [24] hours of entering an office.EQUAL EMPLOYMENT OPPORTUNITYWe are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It’s talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities.Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas.We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process. Live Nation will also provide reasonable religious accommodations on a case by case basis.HIRING PRACTICESThe preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this jobLive Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms.#LI-EF1----------The expected compensation for this position in California is:$128,000.00 USD - $160,000.00 USD**Please note that the compensation information provided is a good faith estimate for this position only and is provided pursuant to the California Salary Transparency in Job Advertisements Law. It is estimated based on what a successful California applicant might be paid. It assumes that the successful candidate will be in California or perform the position from California. Similar positions located outside of California will not necessarily receive the same compensation. Live Nation takes into consideration a candidate’s education, training, and experience, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the California Law, a potential new employee’s salary history will not be used in compensation decisions.
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Data Scientist Lead | Booz Allen Hamilton |
Data Scientist, Lead
The Opportunity:
Are you a seasoned analytics professional who wants to be at the cutting edge of data science and artificial intelligence? If you care about leading a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep data science and machine learning expertise, coupled with an original approach to your work, will guide clients and stakeholders as they make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with the full life cycle of machine learning development and deployment for fraud, waste and abuse, identity theft, risk, and other rare event detection.
As an advanced data scientist and researcher on our team, you’ll introduce innovative data science and machine learning methodologies to make a real-world impact on fraud and risk detection. You’ll share your skills in predictive modeling and machine learning operationalization and shape the future of analytics through a variety of means like white papers and client presentations. We’ll keep you sharp and moving forward in your career, with access to online courses and the latest tools and methods. Whether you’re building models to detect identity theft or helping prevent improperly you’ll lead a team that serves critical missions from end to end.
Join us. The world can’t wait.
You Have:
8+ years of experience with data science or program data analytics, including in a lead, project manager, or consultant roleExperience with providing technical direction and leadership to data science teamsExperience working with and presenting to non-technical clientsExperience with business development, technical leadership, product management or product ownership, or client-facing project workKnowledge of the landscape of technology capabilities around data science or financial analyticsAbility to work on business development capabilities independently, including proposal and white paper writingAbility to present to clients about firm's capabilitiesAbility to obtain a security clearanceBachelor's degree
Nice If You Have:
Experience with the full life cycle of machine learning development and deployment, including gathering requirements, identifying data, preparing data, building, validating, and using deployable predictive models with the usage having tangible resultsExperience with developing predictive models around fraud, risk, or rare eventsExperience with cloud AI environments, including Databricks, Azure ML, or AWS SagemakerKnowledge of Agile and Scrum processesAbility to come up with good solutions or plans to deal with client lack of data or technologyAbility to create solutions without having specific business requirementsPossession of excellent verbal and written communication skills
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $106,200.00 to $242,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Health Data Scientist Senior | Booz Allen Hamilton |
Health Data Scientist, Senior
The Opportunity:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve public healthcare. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, apply machine learning, help scale machine learning applications to new clients and challenges, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help our federal government clients make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in public health.
Empower change with us.
You Have:
3+ years of experience with data science, machine learning, cloud engineering, DevOps, or data strategyExperience with healthcare or clinical dataExperience with AWS Cloud servicesExperience with Docker, Kubernetes, or JenkinsExperience managing disparate data sources, including preprocessing, cleansing, and verifying data integrityExperience performing data exploration and analysis to support analytics objectivesExperience with program automation, CI/CD, DevSecOps, or AgileAbility to manage junior data scientistsAbility to obtain a security clearanceBachelor's degree
Nice If You Have:
Experience with data visualization tools or technologies, including Tableau, Qlik, RShiny, and with data analysis for health organizationsExperience with Machine Learning, Artificial Intelligence, or Natural Language ProcessingExperience leveraging statistical programming languages, including Python, for developing predictive data models, quantitative analyses, and visualization of targeted data sourcesExperience with spaCy, FastAPI, gensim, and Hugging FaceExperience with natural language processing, text mining, or search capabilitiesExperience creating data infrastructure models and implementing them in healthcare client systemsExperience with Node and ReactExperience working with or deploying a machine learning model into productionAbility to exhibit flexibility and initiative when dealing with ambiguous and fast-paced situations
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $93,300.00 to $212,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Senior Data Scientist Point Of Sales Ecosystem | Square |
Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
The XPOS team at Square is focused on building an ecosystem of point-of-sale (POS) apps that feels cohesive to sellers, regardless of where they start. As a member of the XPOS data science team, you will play a critical role in enhancing our understanding of the XPOS app ecosystem and using data to drive decision-making throughout the product development lifecycle. You will report to the XPOS DS lead, and partner with product, engineering, marketing and other cross-functional stakeholders to help lead the effort to define metrics to track progress against organizational goals, develop solutions to personalize product experiences, and provide insights and drive strategic decisions with data.
You will:
Partner directly with the XPOS product team to identify opportunities for using data to drive business outcomes and guide product development decisionsApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaContinuously improve data quality and accessibility, and work with data engineering teams to optimize data pipelines and storageDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
4+ years of analytics and data science experience or equivalentExperience leading cross-functional projects and partnering with Product/Engineering/Marketing/Design on strategy and prioritization;Strong experience in data analysis, statistical modeling, and machine learning, with a focus on applying these skills to solve business problems.Familiarity with data engineering best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on product & platform initiatives focused on measuring platform success
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Senior Data Scientist Risk | Square |
Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You'll build processes to root out high-risk activity across the Square platform of products. You will also manage top level Risk KPIs, establish core operational metrics, and make improvements through machine learning solutions or analysis.
The Risk Data Scientist will use analytical skills to identify and prevent the payment risks. You will lead experimentations to promote Risk effectiveness throughout Square. You will partner with product, engineering, operations, policies and sales to influence Squares global Risk road map and processes. You will have a chance to own the key metrics, develop data pipelines, ETL. You will also make direct impact to our key success metrics via building machine learning solutions, risk detection rule development and deployment.
You Will:
Diagnose problems and develop compelling, data-driven recommendationsDevelop and maintain multiple data pipelines and ETLsPartner with Product, Engineering, and operation teams to design solutions to business problems, influence product roadmaps, and solution new products/processesHave a chance to use machine learning tools to develop data-driven solutions.Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experienceDevelop executive presentations for Squares leadership
Qualifications
A BS/BA in Statistics, Mathematics, Operations Research, Engineering, Computer Science, Economics, or a related quantitative/technical field7+ years of relevant experience (or masters and 4+ years)Experience with SQL, Python and LookerExperience with machine learning model development and deploymentExperience driving data-driven solutions and project-managing their implementationExperience answering unstructured questions and managing projects and tasks to a conclusionA passion for Square's missionExperience risk, trust and safety, payments, or spam prevention
Additional Information
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Sr Data Scientist | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
We are looking for a Senior Data Scientist for the Content org. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you’ll do:
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
What we’re looking for:
5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Statistics, Machine Learning, Forecasting, Econometrics or other related fields Familiarity with online experiment and its pitfalls Statistical rigor, can guide the team and others on statistically valid approaches to problems A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
This position is not eligible for relocation assistance.
#LI-JT6
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$114,750—$236,000 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.
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Lead Data Scientist | Natera |
POSITION SUMMARY:
The Lead Data Scientist is a member of the Bioinformatics group. Participates in the design and prototyping of cutting-edge algorithms for analysis of genetic data. Perform data analysis, contributes to our intellectual property portfolio, and interacts closely with our molecular biology team to guide and analyze experiments.
PRIMARY RESPONSIBILITIES:
Independently lead the development and optimization efforts within the Oncology Bioinformatics group for design of high-throughput assays built on next generation sequencing platforms.
Move products through the full development process, from research through commercial launch.
Drive rigorous data analysis effort and support group efforts toward high quality documentation.
Leverage accurate probability models to build the next round of algorithms and products.
Help develop and guide molecular biology experiments.
Contribute to our intellectual property portfolio.
QUALIFICATIONS:
Requirements:
Ph.D. in applied math, statistics, engineering, or equivalent.
Minimum of five years of post-PhD industry experience.
Minimum of five years of experience in data analysis using software such as Python, MATLAB or R. Could be replaced by extensive experience in a procedural language such as C++.
Minimum 3 years of experience with next-generation sequencing technology and assay development.
Foundation in probability theory and estimation/classification methods.
Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions.
Experience with a database query language such as SQL.
Excellent communication skills and the desire to work in a dynamic and collaborative environment
Employee must pass post offer criminal background check.
Desirable, but not required:
Understanding of CLIA standards and FDA testing guidelines is a plus.
#LI-AE1
#LI-REMOTE
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Data Scientist | Kickstarter |
Kickstarter, PBC is seeking a Data Scientist to join our Insights team. This is a crucial part of our analytics and data science function at Kickstarter and a full-time remote position.
About the Team:
Kickstarter's Insights team is a collaborative group of people who are passionate about using data and research to help bring creative projects to life. Our team’s mission is to provide the organization with robust information, analyses, and insight to inform and assess Kickstarter’s strategic objectives. Our team’s objectives include:
Democratizing data access across the organization and providing tools and training to support data-informed decisions;
Acquiring and synthesizing all relevant information about our ecosystem, the creative landscape, and our users, to provide high quality strategic advice to decision makers at all levels of the organization;
Raising the quality of data in our system, including improving our data infrastructure and modeling, and utilizing a variety of research methodologies to understand our users and their experiences.
To achieve this we will seek to use the most up-to-date data, analytical techniques, and appropriate technologies. We collaborate with teams across the organization to provide colleagues with reliable and actionable information through research, reporting, dashboards, and analytics. We value peer feedback, continuous learning, and blameless post-mortems. We prefer proven technology and have built most of our data infrastructure on AWS, but we also care about finding the right tools for the job, so we invest in cutting-edge technology when it's a good fit.
The salary range for this role in the United States is $145,000 - 165,000.
About the Role:
We’ve developed cutting-edge infrastructure to help us collect and aggregate data from our production applications, largely built on AWS. A primary component of your job will be querying and analyzing that data, which will require extensive SQL knowledge. For more advanced analysis you’ll be working with tools like Python and R to explore and visualize data. You will mine the data ecosystem to find fruitful signals and develop and deploy performant algorithms. Your insights and wisdom will be essential to how Kickstarter evolves, lead to new data products, and your expertise will guide us as we learn new things every step of the way.
Your background should include experience using your data skills day-to-day as well as a healthy understanding of the product development lifecycle. Ideally you are adept at using statistics to separate signals from noise and completely at ease communicating the story behind the data.
About You:
You are a SQL expert and are at ease wrangling large datasets
You are proficient in Python and whatever other tools you prefer for analysis
You have a solid command of the statistics required to do data science on the web
You value communicating insights concisely, accurately, and meaningfully to a diverse audience
Experience with dbt is a strong plus
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Data Scientist Product | Lyra Health |
About Lyra Health
Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, 10 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.
At Lyra, we believe that data-driven technology and decision-making is a critical part of solving the thorny, complex challenges of provider quality and accessibility within what can only be described as a broken system. We are looking for a product-minded Data Scientist (minimum of 4+ years of experience) who cares about impact, ownership and cross functional collaboration.
*This Data Scientist role can be filled remotely anywhere within the US, as well as locally in our Burlingame, CA headquarters. Please note that remote-based candidates must be physically located within the United States.
As a Data Scientist on this Product-facing team, you will…
- Work closely with Lyra’s Product, Engineering, and other associated teams (e.g., Operations, Sales & Marketing, etc. depending on the need) to enhance the Lyra platform to serve the needs of our providers and clients.
- We will look to you to deepen our understanding of the user experience and identify opportunities for product iterations.
- Our product initiatives include facilitating access to care for eligible members, enhancing our already-stellar customer experience, and enriching our suite of self-care options.
As a Data Scientist on this Product-facing team, you will…
Work closely with Lyra’s Product, Engineering, and other associated teams (e.g., Operations, Sales & Marketing, etc. depending on the need) to enhance the Lyra platform to serve the needs of our providers and clients.
We will look to you to deepen our understanding of the user experience and identify opportunities for product iterations.
Our product initiatives include facilitating access to care for eligible members, enhancing our already-stellar customer experience, and enriching our suite of self-care options.
Responsibilities
Become an expert in the data we collect and use that data to enable us to create the highest quality product for our clients
Develop comprehensive analyses from diverse data sources to answer questions related to the client care journey
Translate data insights into recommendations on business strategy and product roadmaps
Partner with data engineers to build pipelines that apply clinical logic to raw data
Complete time-sensitive ad hoc data requests for internal and external stakeholders
Required Skills / Experience
3+ years of data analysis in an industry setting with a preference for individuals who have experience in product analytics and have partnered with engineering and product teams in prior roles.
Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression). Experience applying hypothesis testing in an industry or research setting.
Experience with Python, including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions, and automate.
Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views.
Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences).
Experience developing comprehensive analyses using irregular data from disparate sources. Willing to do whatever it takes to clean messy data prior to deriving insights.
Desired Skill Sets/Experience:
Experience with Tableau is a plus.
Interest in public health a plus
$114,000 - $157,000 a year
As a full-time Data Scientist, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $114,000 - $157,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.
Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
-Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
- Lyra for Lyrians; coaching and therapy services
- Equity in the company through discretionary restricted stock units
- Competitive time off with pay policies including vacation, sick days, and company holidays
- Paid parental leave 401K retirement benefits
- Monthly tech stipend
- We like to spread joy throughout the year with well-being perks and activities, surprise swag, free food and snack deliveries each month, regular community celebration…and more!
We can’t wait to meet you.
#LI-REMOTE
We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age (40 or older), disability, genetic information or any other category protected by law.
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Data Scientist | Evolve |
Why this role
As a tech-enabled disruptor in the vacation rental industry, Evolve is professionalizing the category by leveraging data science to capitalize on opportunities across the vacation rental ecosystem. The projects we work on aim to fundamentally change how guests interact with vacation rentals and how homeowners maximize rental income generation. As a member of the core data science team, you will be responsible for building machine learning products using a combination of modeling, software development, exploratory analysis, and data strategy to transform how a business domain is able to operate.
Come join our fast-paced growth-stage culture working alongside other talented data professionals in an environment that invites and necessitates professional growth and learning while enjoying the support of a well funded company - we’ve raised over $235M in investment capital from world-class investors like Durable Capital, T. Rowe Price, and Allen & Company.
What you’ll do
Build, deploy and monitor machine learning models and algorithms that have a sustained business impact
Develop software that allows new models to be reliably deployed and monitored
Maintain model explainability and present new models in a way that builds trust and understanding across stakeholders
Monitor model performance and identify opportunities for iterative improvement
Build predictive datasets using data cleaning and feature engineering techniques
Continue to learn new data science techniques, tooling, and coding best practices
Research new methodologies, concepts and industry trends to guide the creation and adoption of new analytical approaches and technologies
Communicate complex, technical information to non-technical audiences
What makes you a great fit
5+ years of experience in data analytics and 2+ years of data science work
Related technical bachelors, masters, or doctoral degree preferred
Programming experience with Python and SQL, ideally in a full-stack machine learning setting
Software development understanding to be able to create high quality, well-documented, and well-tested code
Clear recognition of how and when to iterate on deployed models
Track record of consistently identifying and prioritizing high value opportunities
Experience working in a collaborative environment and communicating effectively with a variety of stakeholders
Location
We currently are able to hire throughout the U.S except in the following states: District of Columbia, Hawaii, and Pennsylvania. If you live in Colorado, you can work remotely anywhere in the state, at our downtown Denver office, or a hybrid of both!
California Applicant Privacy Policy | Evolve
Compensation
For this role our salary range is $106,000 - $130,000, depending on relevant experience. This role will also be eligible to receive a variable annual bonus based on both company and individual performance.
Additional compensation details:
Equity: 50% of salary equivalent RSUs
Variable comp: 10% of salary target
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Senior Data Scientist Nlp | Tiger Analytics |
Tiger Analytics is looking for experienced Senior Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive the current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Bachelor's Degree in Data Science, Computer Science, or a related field 7+ years of Data Science and Machine Learning experience required Proficiency in Python. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modelling techniques to solve problems such as clustering, classification, regression, demand forecasting, simulation and optimization problems on large-scale data sets Ability to implement NLP best practices for the entire Data Science lifecycle Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, R Shiny, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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