Top Benefits
Medical, dental, and vision insurance
Mental health benefits
Unlimited paid time off (12 holidays included)
About the role
Who you are
- 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
What the job involves
- 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 Experience & Segments team, you will collaborate with our world class team of engineers, product managers, and designers to design the end-to-end driving experience for hundreds of thousands of drivers who interact deeply with our app every day
- You will be a key partner in creating innovative ways to reward and recognize our best drivers, building tools to provide guidance to drivers on how to maximize their earnings, and designing the best UI and personalized XP to match the right rides to the right drivers quickly
- This Scientist’s role will inform the driver experience for all drivers, in particular our most valuable ones, and help to improve their take home earnings
- 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
- 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
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
- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
About Lyft
Ground Passenger Transportation
10,000+
Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.
Top Benefits
Medical, dental, and vision insurance
Mental health benefits
Unlimited paid time off (12 holidays included)
About the role
Who you are
- 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
What the job involves
- 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 Experience & Segments team, you will collaborate with our world class team of engineers, product managers, and designers to design the end-to-end driving experience for hundreds of thousands of drivers who interact deeply with our app every day
- You will be a key partner in creating innovative ways to reward and recognize our best drivers, building tools to provide guidance to drivers on how to maximize their earnings, and designing the best UI and personalized XP to match the right rides to the right drivers quickly
- This Scientist’s role will inform the driver experience for all drivers, in particular our most valuable ones, and help to improve their take home earnings
- 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
- 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
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
- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
About Lyft
Ground Passenger Transportation
10,000+
Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.