Senior Data Scientist
Pay found in job post
Retrieved from the description.
Base pay range
$160,000.00/yr - $216,000.00/yr
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.
We are seeking a Senior Data Scientist to join our dynamic team. This role will be crucial as we design and scale our new lines of business, including those with coaching or clinician components. The successful candidate will play a key role in tracking and forecasting our overall Cost of Goods Sold (COGS), understanding and modeling fixed vs. variable costs, estimating the implications of various product and operational choices, and identifying ways to optimize costs while maintaining quality and user value.
What You’ll Be Doing:
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 accommodations-help@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
We are seeking a Senior Data Scientist to join our dynamic team. This role will be crucial as we design and scale our new lines of business, including those with coaching or clinician components. The successful candidate will play a key role in tracking and forecasting our overall Cost of Goods Sold (COGS), understanding and modeling fixed vs. variable costs, estimating the implications of various product and operational choices, and identifying ways to optimize costs while maintaining quality and user value.
What You’ll Be Doing:
- Partner with stakeholders across Noom to implement and scale a data science system that can accurately measure and predict the cost of the services we provide our community of users
- Develop and maintain models to differentiate fixed vs. variable costs, aiding in understanding how different business lines scale under different scenarios.
- Estimate the implications of different product and operational choices, enabling informed decision-making.
- Collaborate with cross-functional teams including product managers, engineers, and operations to support data-driven decision-making.
- Present insights and recommendations to senior management and stakeholders.
- Learn from and influence a diverse team of data scientists working on problems across Noom.
- 3+ years of experience as a Data Scientist in a similarly-sized organization, with a proven record of analysis and research that positively impacts your team.
- Superior knowledge of statistical analysis methods, such as feature selection, logistic and standard regression, random forests, etc.
- Extensive experience with pandas, numpy, and sklearn. Experience with forecasting (prophet, orbit) and causal inference (DoWhy, CausalML) tools is a plus
- Experience with engineers in building an actual production system that uses machine learning and artificial intelligence. We don’t expect you to write production-quality code, but you should have some programming experience.
- Familiarity with financial forecasting, customer lifetime value prediction, customer segmentation, propensity and uplift modeling and causal inference techniques.
- Excellent SQL/relational algebra skills, ideally with at least a basic knowledge of how different types of databases (e.g.: column vs row storage) work.
- Ability to clearly communicate technical concepts to a non-technical audience.
- The expected base salary for this position is $160,000 - $216,000.
- 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.
- 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.
- By applying to this position you will have an opportunity to share your preferred working location from the following:
- In-office Location(s): New York, NY, USA; Princeton, NJ, USA
- Remote location(s): United States, east coast preferred
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 accommodations-help@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
-
Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Wellness and Fitness Services
Referrals increase your chances of interviewing at Noom by 2x
See who you knowGet notified about new Senior Data Scientist jobs in New York, NY.
Sign in to create job alertSimilar jobs
People also viewed
-
Senior Data Scientist
Senior Data Scientist
-
Senior Data Scientist, GTA+ Subscriptions
Senior Data Scientist, GTA+ Subscriptions
-
Senior Data Scientist
Senior Data Scientist
-
Senior/Staff ML Researcher - Generative AI Worlds in Brooklyn, NY
Senior/Staff ML Researcher - Generative AI Worlds in Brooklyn, NY
-
Lead Data Scientist- Marketing Mix Modeling
Lead Data Scientist- Marketing Mix Modeling
-
Senior Data Scientist, Marketing
Senior Data Scientist, Marketing
-
Data Science Manager
Data Science Manager
-
Senior Data Scientist
Senior Data Scientist
-
Senior Data Scientist
Senior Data Scientist
-
Director, Data Science
Director, Data Science
Similar Searches
Explore collaborative articles
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Explore More