Senior Data Scientist I - Meals
Core
Lead data science for the Meals initiative, owning post-MVP scale-up of DS systems and infrastructure, designing metric tracking frameworks, and driving experimentation strategy to guide product decisions.
Role type
Senior IC data scientist (product & experimentation)
Builds
metric tracking frameworks, experimentation systems, and data-driven insights for the Meals product area
Domain
Grocery delivery / Consumer tech
Deliverable
production ML models
Required skills
A/B experimentation, causal inference, statistical modeling, KPI definition, funnel optimization, product analysis, data analysis
Preferred skills
Offline evaluation metrics integration, advanced causal inference (holdouts, diff-in-diff), logging/instrumentation improvement, 0-1 initiative launch
Technologies
(none explicitly stated)
Responsibilities
Lead data science for the Meals initiative, Design and maintain metric tracking frameworks, Drive experimentation strategy from hypothesis to analysis, Partner with Product, Engineering, and Design to align on strategy, Contribute to defining success metrics for a 0→1 initiative
Seniority
Senior, hands-on IC
