Data Scientist, Algorithms

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.

The Marketplace team at Lyft is responsible for accelerating the growth of the business while simultaneously delivering on key business and financial metrics, and Dynamic Pricing & Offer Selection is an integral part of that. Our team is the dynamic pricing team responsible for leveraging both real-time and historic...

We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business. In this role, you will work closely with Product and Engineering on a cross-functional team to prototype and build end-to-end dy...

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
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
1-4+ years of professional experience for PhDs or 3-5+ years for Master’s in a Data Science role 
Passion for solving unstructured and non-standard mathematical problems
End-to-end experience with data, including querying, aggregation, analysis, and visualization
Proficiency with Python, or another interpreted programming language like R or Matlab
Proficiency in SQL - able to write structured and efficient queries involving multiple large data sets
Ability to collaborate and communicate with others to solve a problem
Strong oral and written communication skills, and ability to collaborate with cross-functional partners
Experience in causal inference, LTV modeling, econometrics, or user choice modeling preferred