Data Scientist, Decisions - Driver Experience & Segments

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.

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.

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
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. 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 if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Greater Toronto area is $108,000 - $135,000 CAD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.