Senior Data Scientist, Marketing
Senior data scientist responsible for measuring and optimizing marketing performance through attribution, experimentation, causal inference, lifecycle analytics, and brand measurement. The role requires 5+ years of quantitative experience, deep SQL expertise, and strong Python or R proficiency.
About the job
Responsibilities
- Design and analyze marketing attribution studies, incrementality tests, and experiments, including geographic tests, lift studies, and A/B tests.
- Analyze performance across paid, owned, and brand channels and patient and provider audiences; identify trends, quantify impact, and recommend optimizations.
- Build and evolve brand measurement frameworks, including brand lift studies, media mix modeling, and awareness tracking.
- Evaluate engagement, activation, rebooking, and long-term retention across customer and provider audiences and CRM touchpoints such as email, push, and SMS.
- Collaborate with Analytics Engineering and Data Engineering to build and operationalize marketing performance data assets and dashboards.
- Create presentations, dashboards, and recommendations that influence leadership decisions.
Requirements
- 5+ years of experience in data science, analytics, marketing science, marketing analytics, growth analytics, product analytics, business analytics, or a similar quantitative role.
- Deep expertise in SQL and strong proficiency in Python or R.
- Experience with experimentation design, causal inference, incrementality testing, attribution, or other rigorous impact-measurement approaches.
- Track record of owning analytical workstreams end to end.
- Ability to independently frame complex, ambiguous analytical problems and develop actionable recommendations.
- Ability to translate quantitative findings into business-relevant insights for technical and non-technical audiences.
- Strong foundation in statistics, causal inference, experimentation, and predictive modeling.
- Detail-oriented, proactive, and comfortable in a fast-paced, data-driven environment.
Nice-to-haves
- Familiarity with media mix modeling, brand lift studies, or awareness and perception tracking.
Compensation and Benefits
- Base salary: $160,000–$220,000 USD.
- Flexible hybrid work environment.
- Health benefits, commuter benefits, 401(k) employer match, wellness program, paid parental leave, fertility and family planning reimbursement, cell phone reimbursement, catered lunch, and paid time off.
Skills
SQL, Python, R, Experimentation Design, Causal Inference, Incrementality Testing, Marketing Attribution, Predictive Modeling, Media Mix Modeling, Brand Lift Studies, A/B Testing, Statistical Analysis
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