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Staff Data Scientist (Growth & Marketing)Charlie HealthNew York, New York, United States
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Staff Data Scientist (Growth & Marketing)

Charlie Health
  • US
    New York, New York, United States
  • US
    New York, New York, United States

About

At Charlie Health we are redefining behavioral health treatment by delivering personalized, virtual care. As a Staff Data Scientist – Growth & Marketing, you will partner with Growth, Marketing, Revenue, and Operations teams to leverage data science to drive measurable impact and improve our services.
Responsibilities
Partner with Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision‑making.
Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data‑driven territory design.
Develop models to analyze successful high‑performer rep patterns to optimize onboarding and productivity.
Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing such as geo tests, holdouts, lift studies) and align on consistent metric definitions (e.g. CAC, conversion, retention).
Develop spend optimization & channel allocation frameworks that account for saturation, diminishing returns, and the trade‑off between short‑term acquisition and long‑term outcomes.
Apply causal inference methods (DiD, synthetic controls, quasi‑experiments) to own channel‑level incrementality measurement, with clear decision rules & guardrails for each approach.
Design and scale repeatable experimentation frameworks for channel, creative, and audience testing, increasing velocity without compromising rigor.
Requirements
7+ years in data science / analytics roles, at least 3 of those years with Marketing, Sales, and/or Revenue teams.
Demonstrated ability to navigate an ambiguous data environment, with start‑up experience preferred, and provide approaches with appropriate statistical rigor to a wide variety of stakeholders.
Familiarity with CRMs (e.g. Salesforce), Marketing Platforms, and the metrics / terminology associated with them (CAC, Opps, etc.).
Experience with modeling work that spans at least some of: MMM, LTV, Lead Scoring, Attribution Modeling, and Segmentation.
Strong technical proficiency in SQL, Python or R, modern ELT/ETL, OLAP databases (e.g. Snowflake), dbt, BI tools (e.g. Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement).
Excellent ability to communicate, collaborate, and influence business partners at all levels.
Bonus: Healthcare Experience, Start‑up Experience.
Passion for mission‑driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes.
Location requirement: candidates located within a 75‑minute commute of our NYC office are expected to work onsite 4 days/week.
Benefits and Compensation Charlie Health is pleased to offer comprehensive benefits to all full‑time, exempt employees. The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Cash compensation is only part of the total compensation package, which may include stock options and other Charlie Health‑sponsored benefits.
Equal Opportunity Employer Statement At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment in which individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.
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  • New York, New York, United States

Languages

  • English
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