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From the employer's careers site First seen 25 Oct 2026

Data Scientist, Algorithms - Dynamic Pricing

Lyft San Francisco, CA senior full-time

The employer hasn't listed a salary.

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Description

The Marketplace team at Lyft is responsible for accelerating the growth of the business while simultaneously delivering on key business and financial metrics, and Dynamic Pricing & Offer Selection is an integral part of that.

We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business.

Responsibilities:

  • Partner with other scientists, colleagues in the pricing team, and with external teams to formalize problems mathematically and within the business context
  • Perform complex data analysis to gain a deeper understanding of problems by identifying their root causes
  • Develop and fit statistical, machine learning, or optimization models
  • Write production code; collaborate with Software Engineers to ship models to production
  • Design and implement both simulated and live experiments
  • Analyze experimental and observational data; facilitate launch decisions
  • Communicate findings to a broad audience consisting of Product, Engineering, and executive leadership

Experience:

  • Data Scientist with experience in Machine Learning, Statistics, Economics, or other quantitative fields
  • M.S. or Ph.D. in Computer Science, Economics, Statistics, Mathematics, or other quantitative fields
  • 1-4+ years of professional experience for PhDs or 3-5+ years for Master’s in a Data Science role
  • Passion for solving unstructured and non-standard mathematical problems
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Proficiency with Python, or another interpreted programming language like R or Matlab
  • Proficiency in SQL - able to write structured and efficient queries involving multiple large data sets
  • Ability to collaborate and communicate with others to solve a problem
  • Strong oral and written communication skills, and ability to collaborate with cross-functional partners
  • Experience in causal inference, LTV modeling, econometrics, or user choice modeling preferred

Benefits:

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Skills

Nice to have

  • Causal Inference
  • LTV Modeling
  • Econometrics
  • User Choice Modeling

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/lyft/jobs/8856443002

Apply on Lyft