At Lyft, our purpose is to serve and connect by cultivating a work environment where all team members belong and have the opportunity to thrive, and the Data Science Team builds mathematical models underpinning the platform's core services
Requirements
- Experience coding in Python (required)
- 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
Responsibilities
- Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context
- 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
- Available during Summer 2026 for an internship in New York City
- A graduation date between December 2026 and June 2027 (required)
- Working in the office at least 3 days per week on Mondays, Wednesdays, and Thursdays
