Lead Data Scientist.

Noom is a digital healthcare company that connects people to content, coaching, community, & clinicians to build healthy habits & promote better living.

Were a mission-driven, high-growth organization thats powered by science, technology, & world-class talent.

Our Engineering team is seeking a Lead Data Scientist to own & scale the data products that measure & drive revenue & 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 & 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, & thrives in a fast paced environment.

What Youll Be Doing

• Build, develop, improve, debug, & maintain our eRev / LTV models, pipelines, & dashboards
• Proactively identify, investigate, & present LTV trends & strategic opportunities across different products & LOBs
• Own the long term vision & 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, & executive leadership to support a variety of LTV use cases & empower decision-making at all levels of the business
• Serve as the subject matter expert & go-to person for technical questions about the team's eRev / LTV data
• Level up the Data Science team, by mentoring & collaborating with other members of the team, & proactively seeking out opportunities to coordinate mentorship or expand knowledge within & across teams

What Were Looking For

• 6+ years of experience in a technical Data Science role, or a combination of equivalent DS & graduate academic experience
• proven track record of leading initiatives leveraging statistical analysis, predictive modeling, & machine learning that deliver measurable impact spanning multiple teams or workstreams
• Strong competency with SQL & Python to aggregate, transform, & analyze data & conduct statistical analysis
• Extensive experience building successful stakeholder relationships across a range of teams & levels
• The ability to distill down complex data concepts & systems to technical & non-technical stakeholders alike, both in writing & live conversations
• Experience building predictive models using statistical & ML techniques & 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, & 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 & 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, & location. The range displayed on each job posting is based on Nooms estimate as of the date of publication & reflects the minimum & 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 & behavioral competencies, scope, & location.

This range is not inclusive of any discretionary bonus or equity package.

Other Elements of the Rewards Package

Noom currently offers a comprehensive & generous total rewards package. This package generally includes discretionary performance-based bonus, stock awards, healthcare & retirement benefits, paid holidays, paid time off, disability benefits & 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 & we start & end each day with responsibility to make the world a healthier place.

Fortune, Inc., Glassdoor, & Crains have all named Noom a Best Place to Work including being named on Fortunes lists for Best Workplaces in New York, Best Workplaces in Technology, Best Workplaces for Women, & Best Workplaces for Millennials.

Noom is proud to be an Equal Opportunity Employer, & 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 & reasonable accommodation for individuals with disabilities. To request reasonable accommodation, please email accommodations-.

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 @ email address.

Our assessment process includes multiple phone and / or video interview rounds, & 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.