Data Science Intern, Algorithms (Summer 2027)
Core
Build mathematical models underpinning Lyft's core services including optimization, prediction, and inference for transportation and mapping.
Role type
Data Science Intern (Algorithms)
Builds
Automated decision-making models, ML models, and algorithmic policies for pricing, dispatch, and incentives.
Domain
Transportation / Ride-sharing / Marketplace Economics
Deliverable
production ML models | product features
Required skills
Python, SQL, R, NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, Experimental design, Exploratory data analysis, Mathematical modeling, Machine learning fundamentals, Probabilistic and statistical modeling
Responsibilities
Partner with cross-functional teams to frame problems mathematically and in business context; Perform exploratory data analysis; Write production modeling code and collaborate on algorithm implementation; Design and run simulated and live traffic experiments; Analyze experimental and observational data to facilitate launch decisions.
