Lyft Data Scientist Interview Preparation Guide - Mid Level (2-5 Years)

Lyft's data science interview process for mid-level candidates is a comprehensive multi-stage evaluation spanning 4-6 weeks. It assesses technical proficiency, analytical skills, machine learning expertise, business acumen, and cultural alignment. The process includes an initial recruiter screening, a take-home challenge featuring real-world ridesharing problems, a technical phone screen covering statistics and coding fundamentals, and 4 virtual onsite interviews evaluating business case analysis, analytical coding, machine learning problem-solving, and behavioral competencies.