Data Science Intern, Algorithms (Summer 2027)
Lyft · New York, NY
About this role
**At Lyft — Data Science Intern, Algorithms (Summer 2027)** Lyft’s Data Science Team builds mathematical models that underpin the platform’s core services. The problems we tackle span optimization, prediction, modeling, inference, transportation, and mapping. We’re looking for **Masters or PhD students** who enjoy solving mathematical problems with data and want to work in a fast-paced, innovative, and collegial environment. **Intern specialties** - **Optimization:** Construct and fit statistical or optimization models that enable automated decision-making in the app. - **Machine Learning:** Design, build, tune, and deploy ML models, with a focus on feature engineering and deployment. - **Inference:** Design and analyze tests in our dynamic marketplace—estimating statistical/ML models to enable better decisions and developing/evaluating algorithmic policies in pricing, dispatch, and incentives. **Reporting line** - You will report into a **Science Manager**. **Responsibilities** - Partner with Engineers, Product Managers, and cross-functional teams to frame problems mathematically and in a business context. - Perform exploratory data analysis to better understand the problem. - 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 via partner collaboration and presentations; help facilitate launch decisions. **Experience** - Currently pursuing a **Masters or PhD** in mathematical sciences (e.g., Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.) or Economics (Microeconomics...).
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