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Salary
$195k – $222k per year
Location
Hybrid (San Francisco, United States)
Seniority
Junior · 2+ years exp
Visa
H-1B filings in 12 months: 101 · for this role: 28 · green card filings: 46

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 17, 2026. Lyft scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Lyft is an American ride-hailing company that connects riders with drivers through its mobile app in the United States and Canada, and also runs bike and scooter sharing systems in several cities. Its business includes Lyft Business programmes for companies, the Flexdrive vehicle rental service for drivers and Lyft Urban Solutions for municipal bikeshare operations. The company is listed on Nasdaq and employs product, engineering and operations staff in San Francisco, Toronto, New York and Montreal. The company is headquartered in San Francisco, California, United States.

Job ID: 111267

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Responsibilities:

  • Partner with Engineers, Product Managers, Product Designers, and Business
  • Partners to frame problems, both mathematically and within the business context.
  • Perform exploratory data analysis to gain a deeper understanding of the problem.
  • Collaborate with Software Engineers to implement algorithms and analytics events in production.
  • Design and run both simulated and live traffic experiments.
  • Analyze experimental and observational data; communicate findings; facilitate launch decisions.

Experience:

Education and Experience:

  • Master's degree or foreign equivalent in Physics, Data Science, or related field.
  • 2 years of experience in job offered, operations research, or related occupation.

Skills:

  • Experience creating metrics, analytical dashboards, and tools to track and monitor growth.
  • Experience with statistics, business forecast and estimates, and authoring data pipelines.
  • Experience with writing production queries and experiment design and analysis.

Benefits:

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

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.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $195,000 - $222,000/year. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. 

#LI-DNI

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