Instacart
Senior
Drive experimentation and geospatial analytics for Instacart's end-to-end delivery experience
Instacart's Core Delivery team owns everything from capturing customer order info to coordinating the shopper delivery experience. As Senior Data Scientist II, you'll design rigorous experiments, build statistical and simulation models, and use geospatial data to improve delivery reliability — then present findings that shape leadership decisions. This interview focuses on experimentation rigor and the ability to turn ambiguous delivery problems into measurable, decision-ready analysis.
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What this interview tests
- Experiment design and causal inference for product decisions
- Statistical modeling to measure and predict delivery performance
- Geospatial analysis techniques applied to logistics/delivery
- Building simulations to project impact of product/policy changes
- Identifying and solving systemic high-risk delivery scenarios
- Communicating analytical findings to influence leadership
Common question themes
Design an experiment to test a new delivery feature — what's your setup and what could go wrong
How would you use geospatial data to diagnose a high-risk delivery pattern
Walk through a time you built a simulation to project the impact of a policy change
Tell me about a dashboard or analytical framework you built that changed how a team made decisions
How do you distinguish correlation from causation in an experiment with real-world confounders
Describe presenting a data-driven recommendation that leadership initially pushed back on
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