Lyft
Senior
Lead Lyft's ad algorithms team — targeting, bidding, and revenue science
Lyft is hiring a Data Science Manager to lead the Applied Science, Data Science, and ML Engineering team behind Lyft Media (Lyft's ads business) — the algorithmic layer for ad targeting, yield, and measurement across in-app, in-car, and bikeshare inventory. This interview probes both people-management chops (8+ years technical, 3+ years leading multi-disciplinary teams) and hands-on depth in causal inference and production ML for computational advertising.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- Leading multi-disciplinary DS/Applied Science/MLE teams
- Causal inference and experimentation design for ads
- Ad targeting, bid optimization, attribution, yield management
- Bridging research to production ML systems
- Cross-functional influence with Product/Eng/Sales
- Setting technical vision tied to revenue goals
常见提问方向
Tell me about a time you set technical vision for a team and it changed the roadmap
How would you design an experiment to measure the causal impact of an ad-ranking change on advertiser ROI and rider experience
Describe mentoring a struggling or underperforming scientist on your team
How do you decide what to build vs. buy for a bid optimization system
Walk me through how you'd diagnose an attribution model that's overcrediting a channel
How have you balanced platform revenue against user/rider experience in a marketplace
相关面试
Lyft
Mid
Data Scientist, Algorithms, Optimization - Fulfillment
Lyft
Mid
Data Scientist, Decisions - Central Market Management
Lyft
Mid
Applied Scientist, Pricing – Dynamic Pricing & Offer Selection
Coinbase
Senior
Senior Data Scientist, CX Analytics
Figma
Mid
Data Scientist, Core Data - PhD (2026)
Instacart
Senior