Data Science Intern, Algorithms (Summer 2027 - SF/NYC)

Role

Lyft is hiring Data Science interns for Summer 2027 to build mathematical models supporting the platform’s core services. The work spans optimization, prediction, modeling, inference, transportation, and mapping. Interns report to a Science Manager.

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, emphasizing feature engineering and deployment.
• Inference: Design and analyze marketplace tests, estimate statistical and machine learning models, and develop and evaluate algorithmic policies for pricing, dispatch, and incentives.

Responsibilities

• Partner with engineers, product managers, and cross-functional teams to frame problems mathematically and in their business context.
• Perform exploratory data analysis to deepen understanding of problems.
• Write production modeling code and collaborate with software engineers to implement algorithms in production.
• Design and run simulated and live-traffic experiments.
• Analyze experimental and observational data, communicate findings through presentations and collaboration with partner teams, and facilitate launch decisions.

Qualifications

• Currently pursuing a master’s or PhD in mathematical sciences, economics, data engineering, or a related field, with graduation between December 2027 and June 2028. Listed mathematical science fields include Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, and Electrical Engineering; economics examples include Microeconomics Theory and Econometrics.
• Available for a Summer 2027 internship in San Francisco.
• Python coding experience is required. SQL and R are also mentioned, along with data science and machine learning libraries including NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, spaCy, and NLTK.
• Experience with experimental design and analysis and exploratory data analysis.
• Expertise in one of the following: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling.
• Bonus points for experience in marketplace design, ridesharing, two-sided marketplaces, or transportation.

Location and Schedule

The title references SF/NYC; the stated location and summer availability requirement are San Francisco. This is a hybrid role requiring office attendance at least three days per week, on Mondays, Wednesdays, and Thursdays. This attendance is an essential function of the role.

Compensation

The expected San Francisco base pay range is $58–$62 per hour USD, excluding potential equity, bonus, and benefits. Pay depends on qualifications, experience, and geographic location; the recruiter can provide further details.

Benefits

• Medical, dental, and vision insurance options.
• Mental health benefits.
• Holidays, two days of paid time off, and three days of sick time off for interns.
• 401(k) plan.
• Pre-tax commuter benefits.
• Lyft Pink opportunity to test new Ridership Program benefits.