Data Science Intern

Who you are

• 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 2027 and June 2028 (required)
• Available during Summer 2027 for an internship in San Francisco
• 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
• Bonus points: Experience in marketplace design, ridesharing, studying two-sided marketplaces, and/or transportation

What the job involves

• We are hiring for a variety of Data Science interns, focusing on the following specialties:
• Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app
• Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment
• Inference: 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
• You will report into a Science Manager
• 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

Benefits

• Great medical, dental, and vision insurance options
• Mental health benefits
• In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Pre-tax commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
• Family building benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program