Description
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:
- Collaborate with Engineers, Product Managers, and Business Partners to define problems mathematically and in a business context.
- Conduct exploratory data analysis to deepen understanding of the problem.
- Develop and apply statistical, machine learning, or optimization models.
- Write production-ready modeling code.
- Work with Software Engineers to implement algorithms in production.
- Design and execute simulated and live traffic experiments.
- Analyse experimental and observational data.
- Communicate findings effectively.
- Support launch decisions.
Experience:
- Master's degree or foreign equivalent in Mathematics, Statistics, Economics, or a related field.
- 2 years of experience in the job offered, Operations Research, or a related occupation.
- Experience solving unstructured and non-standard mathematical problems.
- Proficiency with end-to-end data processes, including querying, aggregation, analysis, and visualization.
- Experience with Python and other programming languages such as R and MATLAB.
Benefits:
- Comprehensive medical, dental, and vision insurance options with additional programs.
- Mental health benefits.
- Family building benefits.
- Child care and pet benefits.
- 401(k) plan.
- Discretionary paid time off for salaried team members and 15 days paid time off for hourly team members, plus 12 observed holidays.
- 18 weeks of paid parental leave for biological, adoptive, and foster parents.
- Subsidized commuter benefits.
- Lyft Pink, an exclusive opportunity to test new benefits of our Ridership Program.