Data Science Intern: Algorithms & Modeling (Hybrid, SF)

Triwill Group; New York, Northern (NY, KY); Hybrid; USD 80,000 - 85,000; Full time

Benefits offered by this job

Great medical, dental, and vision

Mental health benefits

2 days paid time off and 3 days sick

401(k) plan

Pre-tax commuter benefits

Lyft Pink - Ridership Program

Job summary

Lyft in San Francisco is seeking Data Science interns (Masters/PhD) to solve mathematical problems across optimization, ML, and inference. You will report to a Science Manager and collaborate with Engineers, Product Managers, and cross-functional partners. Summer 2027 availability required.

The role focuses on production modeling, data analysis, and experimental design; Python is required, with SQL/R welcomed. This in-office hybrid role requires three days per week in the office.

Qualifications

• Masters or PhD student in mathematical sciences or related field with graduation between Dec 2027 and Jun 2028
• Available Summer 2027 for internship in San Francisco
• Proficient in Python (required); SQL, R also acceptable; familiar with ML libraries
• Experience in experimental design and exploratory data analysis
• Specialties: optimization, machine learning, or probabilistic modeling; bonus for marketplace/transport knowledge

Responsibilities

• Frame problems mathematically and with business context with engineers and product managers
• Perform exploratory data analysis to understand 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 data and communicate findings to partner teams and aid launch decisions

Skills

Python

SQL

Exploratory data analysis

Experimental design

Education

Master's or PhD candidate in mathematical sciences or related field

Tools

NumPy

Scikit-learn

PyTorch

TensorFlow

Keras

SpaCy

NLTK

Job description

Lyft in San Francisco is seeking Data Science interns (Masters/PhD) to solve mathematical problems across optimization, ML, and inference. You will report to a Science Manager and collaborate with Engineers, Product Managers, and cross-functional partners. Summer 2027 availability required.

The role focuses on production modeling, data analysis, and experimental design; Python is required, with SQL/R welcomed. This in-office hybrid role requires three days per week in the office.