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

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 New York City

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

Data Science Intern, Algorithms (Summer 2027)

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Lyft

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