Data Scientist, Decisions - Payments

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.

As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world-class team of engineers, product managers, analysts, and other data scientists to help build best-in-class payment experiences for Lyft drivers. Your work will sit at the intersection of financial systems and driver experie...

Prior experience in the fintech, fraud or identity space is preferred.

Design and analyze experiments in collaboration with other scientists, product & engineering; communicate findings to stakeholders and facilitate launch decisions
Leverage advanced statistical techniques to generate quantitative insights and develop machine learning models
Analyze the wide variety of signals available to identify patterns in large datasets and uncover root causes
Partner with product managers, engineers, and operators to translate analytical insights into decisions and action
Build data pipelines and develop analytical frameworks to monitor business and product performance
Set business metrics that measure the health of our products, as well as passenger and driver experience
Collaborate with product and engineering and communicate findings to stakeholders in a clear and concise manner
Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
4-6+ years of industry experience in a data science or analytical role. 
Proficiency in SQL - able to write structured and efficient queries on large data sets
Experience in programming, especially with data science and visualization libraries in Python or R
Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners