Quick Summary
Key Responsibilities
Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
Technical Tools
Data ScientistData
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
~1 min read- →Partner with Engineers, Product Managers, 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.
- →Construct and fit statistical, machine learning, or optimization models.
- →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.
- →Facilitate launch decisions.
- Master’s degree or foreign equivalent in Mathematics, Statistics, Economics, or related field.
- 2 years of experience in job offered, Operations Research, or related occupation.
- Experience with solving unstructured and non-standard mathematical problems.
- Experience with end-to-end data including querying, aggregation, analysis, and visualization.
- Experience with Python and other programming languages such as R and MATLAB.
What We Offer
~2 min read✓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
Location & Eligibility
Where is the job
Seattle, United States
On-site at the office
Who can apply
Open to applicants worldwide
Listing Details
- Posted
- September 2, 2026
- First seen
- September 2, 2026
- Last seen
- October 8, 2026
Posting Health
- Days active
- 35
- Repost count
- 0
- Trust Level
- 42%
- Scored at
- October 8, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
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