Staff Data Scientist (Growth & Marketing)
$190,000–$270,000 year
On-site · New York City, New York, United States
Job Summary
Staff Data Scientist - Growth & Marketing to serve as a thought leader across Growth, Marketing, Revenue, and Operations. Build and iterate on lead/account/ICP scoring models to prioritize efforts, develop marketing measurement frameworks (e.g., MMM, incrementality testing), apply causal inference methods (DiD, synthetic controls, quasi-experiments), and design scalable experimentation for channel, creative, and audience testing. Drive spend optimization and channel allocation while aligning metrics definitions (CAC, conversion, retention) and partnering with stakeholders to inform strategy and roadmaps. Requires 7+ years in data science/analytics with at least 3 years in Marketing/Sales/Revenue contexts, strong SQL/Python or R skills, familiarity with CRMs/marketing platforms, and experience with MMM, LTV, attribution, segmentation, and modern ELT/ETL pipelines. The role emphasizes rigorous analytical guidance, cross-functional collaboration, and impact on growth outcomes; location is NYC onsite 4 days/week for this role, with total compensation targeting $190,000–$270,000 base.
Required Qualifications
- 7+ years in data science/analytics roles (with 3+ years in Marketing/Sales/Revenue context)
- Experience navigating ambiguous data environments; startup experience preferred
- Familiarity with CRMs/Marketing Platforms and related metrics (CAC, Opps, etc.)
- Experience with modeling spanning MMM, LTV, Lead Scoring, Attribution Modeling, Segmentation
- Strong technical proficiency: SQL, Python or R, ELT/ETL, OLAP (Snowflake), dbt, BI tools (Tableau, Hex)
- Experience designing and scaling experimentation programs (A/B tests, causal inference, lift measurement)
- Excellent communication, collaboration, and influence with business partners at all levels
- Bonus: Healthcare experience, startup experience
- Passion for mission-driven work in mental health or healthcare settings
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