Senior Data Scientist I - Meals
Core
Senior Data Scientist leading measurement, experimentation, and causal inference for a strategic Meals product initiative from post-MVP to scale.
Role type
Senior IC data scientist (product analytics & experimentation)
Builds
Measurement frameworks, experimentation strategies, and KPI systems for a consumer-facing product
Domain
Consumer internet / Food & Beverage
Required skills
A/B testing, causal inference, statistical modeling, product analytics, KPI definition, funnel analysis, metric instrumentation, hypothesis development, data-driven decision-making
Preferred skills
Quasi-experimental methods (holdout groups, difference-in-differences), connecting offline metrics (NDCG, precision/recall) to online outcomes, 0→1 product launch experience, improving logging and instrumentation in complex environments
Technologies
A/B testing frameworks, statistical modeling tools, product analytics platforms
Responsibilities
Lead data science for the Meals initiative supporting post-MVP scale-up; Design and maintain metric-tracking frameworks for engagement and activation; Define and lead experimentation strategies from hypothesis to analysis; Apply causal inference and statistical modeling to guide product strategy; Define meaningful KPIs and optimize product funnels; Partner with Product, Engineering, and Design to align data science with product strategy
Seniority
Senior, hands-on IC
