Data Science Intern, Algorithms
Data Science Interns develop optimization, machine learning, and statistical models, analyze marketplace data, and run experiments in collaboration with engineering and product teams. Applicants must be pursuing a master’s or PhD and have Python experience.
About the job
Responsibilities
- Partner with engineers, product managers, and cross-functional teams to frame mathematical and business problems.
- Perform exploratory data analysis.
- Write production modeling code and collaborate with software engineers to implement algorithms.
- Design and run simulated and live traffic experiments.
- Analyze experimental and observational data, communicate findings, present to partner teams, and support launch decisions.
Requirements
- 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.
- Available for a Summer 2027 internship in San Francisco.
- Python programming experience; SQL or R experience is also relevant.
- Experience with standard data science and machine learning libraries.
- Knowledge of experimental design and analysis and exploratory data analysis.
- Expertise in optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling.
Nice to Have
- Experience with marketplace design, ridesharing, two-sided marketplaces, or transportation.
Compensation and Benefits
- Expected base pay: $58–$62 per hour USD in the San Francisco area.
- Medical, dental, and vision insurance options.
- Mental health benefits.
- Two paid time-off days and three sick-time days for interns, in addition to holidays.
- 401(k) plan.
- Pre-tax commuter benefits.
- Lyft Pink program benefits.
Skills
Python, SQL, R, NumPy, scikit-learn, PyTorch, TensorFlow, Keras, Experimental Design, Exploratory Data Analysis, Optimization, Statistical Modeling, Machine Learning
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