Data Scientist, Algorithms
San Francisco · USD 128,000-160,000 / year · 1-4 years experience · Hybrid · Posted Oct 1, 2026
At a glance
- Experience
- 1-4 years experience
- Workplace
- Hybrid
- Location
- San Francisco
- Salary
- USD 128,000-160,000 / year · Base salary
About the role
- The Marketplace team at Lyft is responsible for accelerating the growth of the business while simultaneously delivering on key business and financial metrics, with Dynamic Pricing & Offer Selection being an integral part of that.
- This role involves working closely with Product and Engineering on a cross-functional team to prototype and build end-to-end dynamic pricing models that can operate at scale.
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
Requirements
- 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
- 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
Preferred qualifications
- Experience in causal inference, LTV modeling, econometrics, or user choice modeling preferred
Benefits
- Great medical, dental, and vision insurance options
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match
- Discretionary paid time off for salaried team members
- 18 weeks of paid parental leave
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership
Workplace
- Hybrid schedule requiring work in the office 3 days per week on Mondays, Wednesdays, and Thursdays
Skills
- Python
- R
- Matlab
- SQL
- Machine Learning
- Statistics
- Economics
- Causal Inference
- LTV Modeling
- Econometrics
- User Choice Modeling
- Data Analysis
