Lyft
Data Scientist, Algorithms - Dynamic Pricing
$128K–$160K
San Francisco, CA +1 · Full-time · Posted Oct 1, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- 1-4+ years for PhDs or 3-5+ years for Master’s.
- Education
- M.S. or Ph.D. in Computer Science, Economics, Statistics, Mathematics, or another quantitative field.
About the job
Build and launch scalable dynamic pricing models that use real-time and historical data to balance ride prices and ETAs, and evaluate their impact through experiments and analysis.
What you'll do
- Formalize pricing problems, analyze data, and develop statistical, machine learning, or optimization models.
- Write production code and collaborate with Software Engineers to ship models; design and run simulated and live experiments.
- Analyze results, inform launch decisions, and communicate findings to cross-functional and executive audiences.
What they ask for
- M.S. or Ph.D. in Computer Science, Economics, Statistics, Mathematics, or another quantitative field.
- 1-4+ years of professional experience for PhDs or 3-5+ years for Master’s in a Data Science role.
- Proficiency with Python or another interpreted language such as R or Matlab, and proficiency in SQL.
- End-to-end data experience, including querying, aggregation, analysis, and visualization.
Nice to have
- Experience in causal inference, LTV modeling, econometrics, or user choice modeling.
Pay
$128,000 - $160,000 USD base salary
Tools
Python, R, Matlab, SQL
AI focus
Develop and fit machine learning models for dynamic pricing.
Model-written summary · the original posting is authoritative