Applied Scientist - Pricing, Rider Engagement

About This Role

This Applied Scientist role involves developing mathematical models and algorithms for Lyft's Pricing team, specifically focusing on Rider Engagement. The position impacts marketplace dynamics and customer experience by building and scaling ML/optimization models and systems that handle real-time data.

Responsibilities

• Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
• Write production quality code. Design, build and deploy production-grade ML models
• Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems
• Evaluate machine learning systems against business goals
• Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems
• Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams

Requirements

• M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields
• 2+ years of machine learning experience in a technology company setting
• Proficiency with Python and working in a production coding environment
• Strong understanding of machine learning methodologies, with proven experience with building and evaluating optimization or machine learning models
• Strong verbal and written communication skills and ability to collaborate and communicate with others to solve a problem

Qualifications

• M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields
• 2+ years of machine learning experience in a technology company setting

Skills

* Required skills

Benefits