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About the Role
Lyft's purpose is to serve and connect, achieved by cultivating a work environment where all team members belong and have the opportunity to thrive.
Responsibilities
- 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.
Requirements
- Experience with solving unstructured and non-standard mathematical problems.
- Experience with end-to-end data including querying, aggregation, analysis, and visualization.
Skills
- Python
- R
- MATLAB
Location
- Seattle
Work Type
- Hybrid
- In-office
Experience Level
- 2 years of experience
Education Level
- Master’s degree or foreign equivalent in Mathematics, Statistics, Economics, or related field.
Salary/Compensations
- $129,709 - $192,000/year
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
- 12 observed holidays
- Discretionary paid time off for salaried team members
- 15 days paid time off for hourly team members
- 18 weeks of paid parental leave
- Subsidized commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
About the Company
- 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.