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, Engineers, Product Managers, and Business: Partners to frame problems mathematically and within the business context
Write production code. Collaborate with Software Engineers to implement: algorithms in live systems and ensure the robustness of the systems
Develop and fit statistical, machine learning, or optimization models. Deploy: production-grade models that solve business problems.
Design, implement, and analyse different types of experiments, and facilitate: data-driven and informed decision making and prioritization
Establish metrics and development measurement methodologies to monitor the: health of our products, as well as the impacts on user and marketplace outcomes
Perform deep dive analysis to gain a deeper understanding of the problem and: uncover new product and business opportunities
What they're looking for
- Drive collaboration and coordination with cross-functional teams. Communicate: findings to a broad audience consisting of Product, Engineering, and executive leadership.
- M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer: Science or other quantitative fields
- + years professional experience for PhDs or 3-5+ years for Master’s in a Data: Science role in a technology company setting
- Proven experience with building and evaluating optimization or machine learning models