Recruiter Screen: High-level background and culture fit.
Technical Screen: Live coding (SQL window functions and Python/R) focused on data manipulation.
Virtual Onsite "Loop": Five rounds covering A/B Testing (network effects), Product Case Studies (Uber-specific metrics), ML System Design (ETA or pricing models), and Coding.
The process was smooth and well organized. A recruiter initially reached out, followed by a first round consisting of two interviews—one with the team manager and another with a data scientist, both engaging and informative.
Failed at technical screening round. Recruiter told me I will be tested on SQL, but I got tested on Python as well. Did not prepare well for that interview and didn't get moved forward
