Data Science Intern, Algorithms (Summer 2027) at Lyft | NY, US | Rezi

Data Science Intern, Algorithms (Summer 2027) at Lyft

Data Science Intern, Algorithms (Summer 2027)

Lyft · NY, US

1 months ago

Data Science Intern, Algorithms (Summer 2027)

Lyft · NY, US

2 months ago
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About the Role

Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. We are looking for Masters or PhD students passionate about solving mathematical problems with data in a fast-paced, innovative, and collegial environment.

Responsibilities

  • 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

Requirements

  • 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
  • Available during Summer 2027 for an internship
  • Experience coding in Python 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 experience
  • Exploratory data analysis experience
  • Expertise in one of these specialties: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling

Skills

  • Python
  • SQL
  • R
  • NumPy
  • Scikit-learn
  • PyTorch
  • TensorFlow
  • Keras
  • SpaCy
  • NLTK
  • Optimization
  • Mathematical modeling
  • Machine learning fundamentals
  • Probabilistic modeling
  • Statistical modeling

Location

  • New York City

Work Type

  • Hybrid
  • In-office

Experience Level

  • Masters or PhD student

Education Level

  • Masters
  • PhD

Salary/Compensations

  • $58-$62/hour USD

Benefits

  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • 2 days paid time off
  • 3 days sick time off
  • 401(k) plan
  • Pre-tax commuter benefits
  • Lyft Pink

About the Company

  • Lyft’s purpose is to serve and connect.
  • Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.

Equal Opportunity

  • Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.