Data Scientist, Algorithms, Optimization - Fulfillment
Lyft
At a glance
AI generatedAs a Data Scientist specializing in Algorithms on Lyft's Fulfillment team, you will work closely with cross-functional teams to develop and enhance mathematical models that optimize the matching of rideshare supply and demand in real-time. Your day-to-day responsibilities include leveraging data and analytic frameworks to create and improve algorithms, collaborating with engineers and product managers to frame problems mathematically and within a business context, conducting exploratory data analysis, writing production modeling code, designing experiments, analyzing results, and developing methodologies to monitor the health of products and their impacts on user outcomes. The ideal candidate holds an M.S. or Ph.D. in quantitative fields such as machine learning, statistics, operations research, computer science, or mathematics, with 2+ years of professional experience building and evaluating machine learning models, a passion for solving complex mathematical problems, and strong communication skills to collaborate effectively across teams.
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Market check
How this pay compares to similar roles
This role pays less than 54% of similar roles. Most pay $126,800–$175,500 — the shaded band above. At the midpoint, this role pays about $144k versus about $151k for comparable roles.
Based on 240 similar postings.
Employer
Lyft is a transportation network company offering ride-hailing services across the US and Canada.
Lyft currently has 31 open roles on FindRole.
Listed pay typically runs $148,000–$185,000 across 31 roles with salary data.
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