Applied Scientist- Pricing, Dynamic Pricing & Offer Selection

Onsite San Francisco, CA

python pricing

greenhouse

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Job description

You will develop mathematical models and algorithms for pricing and ETA decisions at Lyft. This role involves collaboration with various teams to solve complex business problems using machine learning and optimization techniques.

Details

San Francisco, in-office 3 days a week
$140,800 - $176,000 base pay
2+ years of algorithms experience
Proficiency with Python

The work

Partner with cross-functional teams to frame problems mathematically
Design, build, and deploy production-grade ML and optimization models
Perform data analysis and build proof-of-concepts for ML solutions
Establish metrics to monitor product health and user outcomes