Lyft
San Francisco, CA
Data Science Intern, Algorithms (Summer 2027)
We tailor your resume to this role and apply for you in seconds.
Apply to Data Science Intern, Algorithms (Summer 2027) at LyftJob details
- Location
- San Francisco, CA
- Work type
- Hybrid
- Visa
- Sponsorship available
- Posted
- 1 week ago
- Apply on
- job-boards.greenhouse.io
About this role
Lyft operates a platform focused on serving and connecting people through transportation services. The Data Science Intern will develop mathematical, statistical, and machine learning models for optimization, prediction, inference, and marketplace decision-making, while analyzing data and collaborating with engineering and product teams.
What you'll do:
- 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
What they're looking for:
- We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment
- **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
Benefits:
- Great medical, dental, and vision insurance options
- Mental health benefits
- In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
- 401(k) plan to help save for your future
- Pre-tax commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
- This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays.
Ready to apply to Lyft?
ApplyBolt finds matching jobs, tailors your resume, and submits applications for you.