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 sophisticated mathematical models to determine optimal prices and ETAs for rideshare products. Your daily tasks include collaborating with Data Scientists, Engineers, Product Managers, and Business Partners to frame complex problems mathematically and implement production-grade ML and optimization models that can handle millions of calls per day. You will also build custom methods and tooling beyond off-the-shelf libraries, perform data analysis, and establish metrics to monitor system health and impact on user outcomes. This role requires a strong background in machine learning methodologies, experience with building and evaluating optimization or ML models, and the ability to balance complexity and efficiency in a fast-paced environment.
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–$207,512 — 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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