Lyft
Senior
Lead a data science team shaping Lyft's routing, ETA, and mapping products
This is a people-manager role leading data scientists and analysts on Lyft's Mapping team, driving experimentation and causal inference to improve routes, ETAs, and driver experience. Requires 5+ years hands-on DS experience plus 2+ years managing DS teams, with strong statistics/experimentation depth. Good target for candidates prepping DS management interviews in a marketplace/real-time-systems context.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Building, leading, and mentoring a data science team (optimization, experimentation, ML, causal inference)
- Experimental design and causal inference for real-time marketplace systems (A/B, multivariate, incremental lift)
- Data storytelling and influencing senior leadership with insights
- Deep-dive analysis on large-scale datasets to improve routing/ETA/mapping accuracy
- Balancing rapid shipping vs. sustainable, high-impact data science investments
Common question themes
How would you design an experiment to measure ETA accuracy improvements in a real-time system
Tell me about a time you led a team through an ambiguous, high-stakes technical problem
How do you prioritize a data science roadmap across mapping, routing, and driver experience
Describe mentoring a data scientist and matching them to a project based on their goals
How do you present a data-driven recommendation to skeptical senior leaders
How would you benchmark and measure the success of a mapping/routing product
Related interviews
Lyft
Mid
Data Scientist, Algorithms, Optimization - Fulfillment
Lyft
Senior
Data Science Manager, Machine Learning - Lyft Ads
Lyft
Mid
Data Scientist, Decisions - Central Market Management
Instacart
Senior
Senior Data Scientist (I & II)
Figma
Mid
Data Scientist, Core Data - PhD (2026)
Instacart
Senior