The opportunity
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.
What you'll do
Partner with other scientists, colleagues in the pricing team, and with: external teams to formalize problems mathematically and within the business context
Perform complex data analysis to gain a deeper understanding of problems by identifying their root causes
Develop and fit statistical, machine learning, or optimization models
Write production code; collaborate with Software Engineers to ship models to production
Design and implement both simulated and live experiments
Analyze experimental and observational data; facilitate launch decisions
What they're looking for
- Communicate findings to a broad audience consisting of Product, Engineering, and executive leadership
- Data Scientist with experience in Machine Learning, Statistics, Economics, or other quantitative fields
- M.S. or Ph.D. in Computer Science, Economics, Statistics, Mathematics, or other quantitative fields
- + years of professional experience for PhDs or 3-5+ years for Master’s in a Data Science role
