Junior Data Scientist Interview Preparation Guide - Uber

Uber's Data Scientist interview process for junior-level candidates follows a structured 4-6 week pipeline designed to assess technical proficiency in SQL and Python, analytical thinking in real-world problem scenarios, understanding of experimentation and metrics, and collaborative communication skills. The process combines phone-based technical assessments with a comprehensive virtual onsite consisting of multiple rounds with data scientists, hiring managers, and cross-functional partners. For junior candidates, the evaluation emphasizes foundational technical skills, learning ability, and product sense while acknowledging that candidates are early in their careers.