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

Data Science Intern, Algorithms (Summer 2027) at Lyft

Data Science Intern, Algorithms (Summer 2027)

Lyft · CA

1 months ago

Data Science Intern, Algorithms (Summer 2027)

Lyft · CA

2 months ago
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About the Role

Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services, tackling diverse problems across optimization, prediction, modeling, inference, transportation, and mapping. We are seeking Masters or PhD students passionate about solving mathematical problems with data in a fast-paced, innovative 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 at a university in Canada
  • Graduation date between December 2027 and June 2028
  • Available during Summer 2027 for an internship in Toronto
  • Experience coding in Python or SQL, R
  • Experience with standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras)
  • Experience with 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
  • Experience in marketplace design, ridesharing, studying two-sided marketplaces, and/or transportation (bonus points)

Skills

  • Python
  • SQL
  • R
  • NumPy
  • Scikit-learn
  • PyTorch
  • TensorFlow
  • Keras
  • SpaCy
  • NLTK
  • Optimization
  • Mathematical Modeling
  • Machine Learning Fundamentals
  • Probabilistic Modeling
  • Statistical Modeling

Location

  • Toronto

Work Type

  • Hybrid
  • In-office

Experience Level

  • Masters or PhD student

Education Level

  • Masters
  • PhD

Salary/Compensations

  • CAD $45 - CAD $48 per hour

Benefits

  • Mental health benefits
  • 2 days paid time off
  • 3 days sick time off
  • Subsidized commuter benefits
  • Lyft ride credits

About the Company

  • Lyft's purpose is to serve and connect.
  • Lyft is committed to creating an inclusive workforce that fosters belonging.
  • Lyft believes that every person has a right to equal employment opportunities without discrimination.
  • Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
  • Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.

Equal Opportunity

  • Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy.
  • Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.