Applied Scientist: Pricing & Optimization
Listed on 2026-11-04
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Operations Research Analyst
Lyft is looking for an Applied Scientist specializing in Machine Learning and Operations Research in San Francisco. You will develop mathematical models to optimize pricing and ETAs, collaborating closely with cross-functional teams. A strong background in ML methodologies and programming in Python is required.
The expected base pay range is $140,800 - $176,000, alongside comprehensive benefits such as health insurance and parental leave, making this a great opportunity for candidates passionate about solving complex business problems.
The Applied Scientist:
Real-Time Pricing & Optimization role at Lyft is now open for applications in San Francisco, CA, United States.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Applied Scientist:
Real-Time Pricing & Optimization role in the description above.
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