Senior Marketing Decision Scientist II
Lead marketing measurement and experimentation for Instacart. Own MMM, MTA, incrementality testing, predictive modeling, and dashboards to guide multi-million dollar marketing investments.
Senior Data Scientist
Senior Data Scientist embedded with Product team analyzes clinical/member/claims data to drive product decisions, define KPIs, lead experiments, and integrate AI for insights in digital health startup. Requires 7+ years experience with SQL, Python, BI tools.
167k – 216kSan Francisco, CADenver, COData ScienceRemote7+ YOE
About the role
Responsibilities
- Serve as an embedded data lead: understand product strategy, goals, roadmap, users to identify high-impact opportunities and risks.
- Use data to steer conversations: bring data-driven hypotheses, challenge assumptions, frame trade-offs, prioritize strategically.
- Translate vague product hunches into sharp analytical questions and design approaches to answer them.
- Be the source of truth for KPIs and product metrics: define, monitor, identify trends and drivers.
- Drive decision-making with data: prioritize analyses that inform product decisions, reframe ineffective requests, design and deliver analyses rapidly.
- Lead experimentation: guide on when to experiment, enable self-serve, focus on frequent small experiments.
- Identify AI (ML or GenAI) opportunities to improve product strategy and enable integration.
- Act as collaborative leader, focus work on what matters most.
- Work end-to-end with clinical, member, and claims data: design reports/dashboards, data flows, build transformation pipelines.
Must-Haves
- Experience at digital health or similar startup during growth phase.
- 7+ years in Healthcare Analytics or Data Science: large datasets, statistical/quantitative modeling, analytics with programming, data mining, clustering, segmentation.
- 7+ years with data science and visualization tools (SQL, Python).
- Experience building BI dashboards (Looker, Tableau).
- Data security and privacy best practices in regulated industry.
- Ability to explain technology/techniques to others.
- Designed/implemented repeatable AI-enabled workflows for efficiency.
Nice-to-Haves
- Leading cross-functional efforts for scalable systems/data pipelines, complex data structures.
- Understanding of Generative AI concepts and tools (ChatGPT/Codex, Claude, Gemini).
- Building pipelines using dbt.
- Demonstrated project management experience.
Skills
SQLPythonLookerTableaudbtGenerative AIMachine LearningStatistical ModelingData PipelinesData Visualization
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