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 and work with Software Engineers to implement algorithms.
- Design and execute simulated and live traffic experiments.
- Analyse experimental and observational data, communicate findings, and inform launch decisions.
Experience:
- Master's degree or foreign equivalent in Business Analytics and Information Management, Data Science, or a related field.
- 2 years of experience in the job offered, operations research, or a related occupation.
Skills:
- Experience creating metrics and analytical tools to track and monitor growth.
- Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines.
- Experience with building and evaluating optimization and inference models, and predictive modeling.
- Experience with writing production-quality computer code and using MATLAB, R, and Python.
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.
- 18 weeks of paid parental leave for biological, adoptive, and foster parents.
- Subsidized commuter benefits.
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program.