HR Screen

Lyft Data Scientist interview: probability to causal modeling

LyftData Scientist · HR Screen · Jul 2026

I began with a recruiter screen of about 30 minutes. It was structured: they checked the basic boxes and explained what would happen next. The process then moved through a general data-science screen on probability, A/B testing, and business sense, followed by four deeper technical rounds. Those covered coding and algorithms, optimization, causal modeling, and business acumen tied back to product…

Shared by a candidate · reported Jul 2026. Interview formats change; use it as a guide, not a script.