At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

The Driver team aims to provide a best in class driving and earnings experience that enables anyone to join the platform and make a living. As a Data Scientist on the Driver Segments team, you will collaborate with our world class team of engineers, product managers, and designers to design innovative ways to reward and recognize our best drivers who interact deeply with our app every day. This Scientist’s role will inform the driver experience of our most valuable drivers, improve their take home earnings and ensure these drivers find meaning in their work.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our Driver products and make business decisions that put drivers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features.

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:

• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
• 4+ years experience in a data science role or analytics 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
• Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners 
• Experience in applying machine learning techniques a plus (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
• Experience working with ETL pipelines a plus

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Access to a Health Care Savings Account
• In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service 
• 4 Floating Holidays each calendar year prorated based off of date of hire
• 10 paid sick days per year regardless of province
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy.  Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.  Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.