Lyft's Data Science Team builds mathematical models underpinning the platform's core services. The set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping.
Requirements
- Experience coding in Python (required) or SQL, R; standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras); and ML Tools & Libraries (NumPy, SpaCy, NLTK, Scikit-learn, TensorFlow, Keras)
- Experimental design and analysis
- Exploratory data analysis
- Expertise in one of these specialties: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling
- Experience in marketplace design, ridesharing, studying two-sided marketplaces, and/or transportation
Responsibilities
- Construct and fit statistical or optimization models that facilitate automated decision making in the app.
- Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment.
- Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems.
- Perform exploratory data analysis to gain a deeper understanding of the problem
- Write production modeling code; collaborate with software engineers to implement algorithms in production
- Design and run both simulated and live traffic experiments
- Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions
Other
- Currently pursuing a Masters or PhD degree in mathematical sciences (Operations Research, Computer Science, Statistics*, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field; with a graduation date between December 2026 and June 2027 (required)
- Available during Summer 2026* for an internship in San Francisco
- Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context
- communicate findings including working with partner teams and presentations; facilitate launch decisions
- Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging.
- This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays.
