FAQs
What is the job title for this internship position at Lyft?
The job title is Data Science Intern, Decisions Product - Toronto (Summer 2025).
What are the main responsibilities of the Data Science Intern?
The main responsibilities include building and automating models and reporting, performing deep-dives into customer data, developing hypotheses and solutions for business insights, designing and analyzing experiments, and partnering with diverse teams across product, marketing, and engineering.
What is the duration of the internship?
The internship is for Summer 2025, which typically spans from May to August.
What educational qualifications are required for this internship?
Candidates should be pursuing a B.S or M.S in data science, computer science, economics, applied math, engineering, statistics, or another quantitative field, or in a hard science field such as physics, biology, or biostatistics.
When must candidates be graduating to be eligible for this internship?
Candidates must be graduating between December 2025 and Summer 2026 to be eligible for the internship.
Is there a specific location requirement for the internship?
Yes, candidates must currently attend a university in Canada and the internship will be based in Toronto.
What skill set is necessary for this position?
Candidates should be comfortable working with large datasets, have experience analyzing data in Python or R, possess strong proficiency in SQL, and have knowledge of experimentation design and A/B testing.
Are there any benefits offered to interns?
Yes, benefits include mental health support, 2 days paid time off, and 3 days sick time off in addition to holidays.
What type of workplace culture does Lyft promote?
Lyft promotes an open, inclusive, and diverse workplace culture where all team members are recognized for their contributions and where harassment of any kind is strictly prohibited.
What is the expected work schedule for this internship?
The role will be in-office on a hybrid schedule, with team members expected to work in the office 3 days per week on Mondays, Thursdays, and a team-specific third day.