Data Science Intern: Algorithms & ML (Hybrid NYC)

Socket.dev; New York (NY); Hybrid; USD 80,000 - 85,000; Full time

Benefits offered by this job

Health insurance

Mental health benefits

Paid time off

401(k)

Commuter benefits

Lyft Ridership Program

Job summary

Lyft is hiring Data Science interns who will work on optimization, machine learning, and inference to improve marketplace operations. The internship targets Masters or PhD students with a graduation date between December 2027 and June 2028 and a Summer 2027 availability in New York City.

You will collaborate with engineers and product managers, design experiments, write production modeling code, and analyze data to guide pricing, dispatch, and incentives systems.

Qualifications

• Currently pursuing a Masters or PhD in mathematical sciences or a related field with a graduation date between December 2027 and June 2028
• Summer 2027 availability for an internship in New York City
• Experience coding in Python (required) or SQL, R and standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras)
• Experiment design and analysis
• Exploratory data analysis
• Expertise in optimization, ML fundamentals, or probabilistic/statistical modeling

Responsibilities

• Frame problems mathematically and within business context with cross-functional partners
• Perform exploratory data analysis to gain deeper understanding
• Write production modeling code and implement algorithms in production
• Design and run simulated and live traffic experiments
• Analyze data and communicate findings to partner teams and stakeholders

Skills

Python

SQL

R

NumPy

Scikit-learn

PyTorch

TensorFlow

Keras

Education

Masters or PhD in mathematical sciences or related field

Tools

SpaCy

NLTK

TensorFlow

Keras

Job description

Lyft is hiring Data Science interns who will work on optimization, machine learning, and inference to improve marketplace operations. The internship targets Masters or PhD students with a graduation date between December 2027 and June 2028 and a Summer 2027 availability in New York City.

You will collaborate with engineers and product managers, design experiments, write production modeling code, and analyze data to guide pricing, dispatch, and incentives systems.