Job Description

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is at the heart of Lyft’s products and decision-making. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. 

As a Data Scientist, Decisions in the Driver team, you will leverage data and apply analytical thinking to shape our driver app and make business decisions that put our customers first. You will identify improvement opportunities, propose and implement technical solutions, design experiments, and measure the impact of your team’s decisions. You will partner closely with product, engineering, design, and other stakeholders to deliver products end-to-end. You will also collaborate with adjacent teams outside of Driver to balance driver, rider and marketplace needs. We’re looking for well-rounded, passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.

Responsibilities:

Leverage data to provide insights around driver behavior and sentiment and identify improvement opportunities
Apply analytics, inference and experimentation techniques to solve business problems
Design and analyze experiments; communicate results to technical and non-technical audiences to act on launch decisions
Establish metrics that measure the health of our driver products and driver experience
Develop analytical frameworks and dashboards to monitor business and product performance
Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
Design and implement data pipelines to support data analysis and product implementation

Experience and skills:

3+ years experience in a data science role or analytics role
B.S. in economics, applied math, statistics, engineering or other quantitative fields, M.S. preferred
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
Experience designing and analyzing A/B experiments, and communicating results and recommendations to cross functional stakeholders
Demonstrated data analysis and problem-solving skills
Strong oral and written communication skills (i.e, business writing, presentation building & delivery, executive briefings)
Ability to build relationships and collaborate with cross-functional stakeholders to drive shared outcomes
Experience working with ETL pipelines a plus

Benefits:

Great medical, dental, and vision insurance options
Mental health benefits
In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
401(k) plan to help save for your future
18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
Pre-tax commuter benefits
Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program