Data Scientist, Algorithms, Optimization - Fulfillment
Lyft
At a glance
AI generatedAs a Data Scientist specializing in Algorithms at Lyft, you will join the Fulfillment team to develop mathematical models and algorithms that optimize rideshare supply and demand matching in real-time. Your day-to-day involves collaborating with Engineers, Product Managers, and Business Partners to frame complex problems mathematically and within the business context, performing exploratory data analysis, writing production modeling code, and implementing algorithms in live environments. You will also design experiments, analyze results, and communicate findings to facilitate product improvements and decision-making. Ideal candidates hold an M.S. or Ph.D. in a quantitative field with 2+ years of professional experience building machine learning models, strong problem-solving skills for unstructured challenges, and excellent communication abilities. Lyft's ridesharing platform operates at scale, making this role crucial for enhancing user experiences and driving business outcomes.
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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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