Applied Scientist- Pricing, Dynamic Pricing & Offer Selection
Lyft
At a glance
AI generatedAs an Applied Scientist specializing in Machine Learning and Operations Research on Lyft’s Pricing team, you will develop mathematical models to determine optimal prices and ETAs for rideshare products. Your daily tasks include building ML and optimization models that scale to millions of calls per day, collaborating with Data Scientists, Engineers, Product Managers, and Analysts to frame problems mathematically within the business context. You will write production-quality code, design custom methods beyond off-the-shelf libraries, and evaluate machine learning systems against business goals. The role requires expertise in ML methodologies, strong communication skills, and a passion for solving complex mathematical problems that impact user experience and marketplace outcomes.
Skills
What you'll do
What we're looking for
Market check
How this pay compares to similar roles
This role pays less than 60% of similar roles. Most pay $136,250–$208,250 — the shaded band above. At the midpoint, this role pays about $158k versus about $172k 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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