Data Scientist - Machine Learning, Pricing & Rider Engagement

Lyft

San Francisco, CA, United States
Base: $128,000 - $160,000; bonus/equity: potential...
On-site
Develop mathematical models for discounting systems
Optimize allocations and decisioning systems
Collaborate with cross-functional teams
As a Data Scientist specializing in Algorithms on the Rider Engagement team, you will develop mathematical models for core discounting systems and address diverse problems across optimization, prediction, machine learning, and inference

Job Summary

  • As a Data Scientist specializing in Algorithms on the Rider Engagement team, you will develop mathematical models for core discounting systems and address diverse problems across optimization, prediction, machine learning, and inference.
  • Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context, and collaborate with Software Engineers to implement algorithms and models in production.
  • Great medical, dental, and vision insurance options with additional programs available when enrolled, mental health benefits, family building benefits, child care and pet benefits, and a 401(k) plan with company match.

Matching Summary

As a Data Scientist specializing in Algorithms on the Rider Engagement team, you will develop mathematical models for core discounting systems and address diverse problems across optimization, prediction, machine learning, and inference.

Salary

Base: $128,000 - $160,000; Bonus/Equity: potential equity offering; Benefits: available

Skills & Requirements

Must-have

  • Develop mathematical models for discounting systems
  • Optimize allocations and decisioning systems
  • Collaborate with cross-functional teams
  • Implement algorithms and models in production
  • Design and analyze experiments
  • Python proficiency
  • Production coding environment

Nice-to-have

  • Fast-paced, innovative, and impactful environment
  • Balancing complexity and efficiency
  • Translate real-world problems into solutions

Key Requirements

  • M.S. or Ph.D. in quantitative fields
  • 2+ years professional experience
  • Proven experience building machine learning models
  • End-to-end data experience
  • Strong oral and written communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter