Noom is a digital healthcare company that connects people to content, coaching, community, and clinicians to build healthy habits and promote better living. We're a mission-driven, high-growth organization that's powered by science, technology, and world-class talent. Our Engineering team is seeking a Lead Data Scientist to own and scale the data products that measure and drive revenue and growth for the company. Our ideal candidate is an independent, proactive team player who is both a technical expert with a deep understanding of statistical modeling and a strong communicator who enjoys actively collaborating with stakeholders across a variety of functions. This individual does their best work when in a high impact, high visibility role, is comfortable with ambiguity, and thrives in a fast paced environment. What You'll Be Doing
- Build, develop, improve, debug, and maintain our eRev/LTV models, pipelines, and dashboards
- Proactively identify, investigate, and present LTV trends and strategic opportunities across different products and LOBs
- Own the long term vision and roadmap for the LTV data products, ensuring the data models scale appropriately as the business evolves
- Work closely with cross-functional stakeholders including Growth, Marketing, Finance, and executive leadership to support a variety of LTV use cases and empower decision-making at all levels of the business
- Serve as the subject matter expert and go-to person for technical questions about the team's eRev/LTV data
- Level up the Data Science team, by mentoring and collaborating with other members of the team, and proactively seeking out opportunities to coordinate mentorship or expand knowledge within and across teams
What We're Looking For
- 6+ years of experience in a technical Data Science role, or a combination of equivalent DS and graduate academic experience
- proven track record of leading initiatives leveraging statistical analysis, predictive modeling, and machine learning that deliver measurable impact spanning multiple teams or workstreams
- Strong competency with SQL and Python to aggregate, transform, and analyze data and conduct statistical analysis
- Extensive experience building successful stakeholder relationships across a range of teams and levels
- The ability to distill down complex data concepts and systems to technical and non-technical stakeholders alike, both in writing and live conversations
- Experience building predictive models using statistical and ML techniques and working closely with Engineering to bring your models to production
- Preferred Qualifications:
- Experience with digital consumer subscription products
- You have expertise in survival models, advanced LTV modeling, and growth accounting
- Experience working in a number of cross functional areas, ranging from Product to Marketing to Finance
- Experience managing not just your workload & prioritization but also that of other DSs (either in a manager or tech lead type role)
- First-hand experience in data modeling and writing your own data pipelines
Base Salary
- The US base salary range for this full-time position is $187,000 - $253,000
- Our salary ranges are determined by role, level, and location. The range displayed on each job posting is based on Noom's estimate as of the date of publication and reflects the minimum and maximum target for the position across all US locations. The actual placement of the candidate within the range is based on factors including but not limited to relevant experience, assessment of functional skills and behavioral competencies, scope, and location. This range is not inclusive of any discretionary bonus or equity package.
Other Elements of the Rewards Package
- Noom currently offers a comprehensive and generous total rewards package. This package generally includes discretionary performance-based bonus, stock awards, healthcare & retirement benefits, paid holidays, paid time off, disability benefits and various wellness programs, etc.
Location
- By applying to this position you will have an opportunity to share your preferred working location from the following:
- In-office Locations:
- New York, NY, USA
- Princeton, NJ, USA
- Remote location(s): United States.
- Your recruiter can share more about the specific compensation package for your preferred location during the hiring process
More About Noom At Noom, we believe that the individual is the greatest force for good, not just in their health but in unlocking their fullest potential. We apply the same principles inside Noom. Across our dynamic organization, we empower our teams to execute on big ideas and we start and end each day with responsibility to make the world a healthier place. Fortune, Inc., Glassdoor, and Crain's have all named Noom a Best Place to Work including being named on Fortune's lists for Best Workplaces in New York, Best Workplaces in Technology, Best Workplaces for Women, and Best Workplaces for Millennials. Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities. To request reasonable accommodation, please email ...@noom.com. To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Our assessment process includes multiple phone and/or video interview rounds, and we will never ask you for personal payment, require you to purchase equipment, or extend a job offer without the completion of this interview process. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to instead apply directly through our website.