Data Science Intern: Algorithms — SF (In-Office 3 Days/Week)

The available sources do not contain information about the company name for rounx.com.; San Francisco (CA); On-site; USD 80,000 - 85,000; Full time

Job summary

Lyft is seeking a Data Science Intern to contribute to mathematical models powering the platform's core services. You will work on optimization, machine learning, and inference, with a focus on decision-making, feature engineering, and algorithmic policy evaluation.

Collaborate with engineers and product managers to frame problems, run analyses, and design experiments. This internship is in San Francisco, in-office three days per week.

Qualifications

• Pursuing a Master’s or PhD in a quantitative field with graduation between Dec 2027 and Jun 2028.
• Strong Python coding skills and experience with data science libraries.
• Experience with optimization, ML, or statistical modeling is preferred.

Responsibilities

• Develop mathematical models powering Lyft's core services.
• Work on optimization, machine learning, and inference projects.
• Frame problems, conduct exploratory data analysis, write production code, and design experiments.

Skills

Python

Education

Master’s or PhD in a quantitative field

Tools

NumPy

Scikit-learn

PyTorch

TensorFlow

Job description

Lyft is seeking a Data Science Intern to contribute to mathematical models powering the platform's core services. You will work on optimization, machine learning, and inference, with a focus on decision-making, feature engineering, and algorithmic policy evaluation.

Collaborate with engineers and product managers to frame problems, run analyses, and design experiments. This internship is in San Francisco, in-office three days per week.