Data Science, Decisions - Rider Core Experience

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.

The Rider organization is responsible for the Lyft Rider App, spanning the full consumer journey from request and purchase to pickup, in-trip experience, drop-off, and time between rides. Within this org, the Rider Offerings team owns growth and service excellence across Lyft’s portfolio of offerings — ensuring each ride option is reliable, intuitive, and high-quality. The team also plays a critical role in Lyft’s global expansion and shaping the future of AV/PV hybrid rideshare experience.

This role will deliver the data science foundations that shape how riders choose and experience Lyft’s offerings. The right candidate will apply experimentation, measurement, and modeling to guide product decisions that drive adoption, service reliability, and long-term user retention. They will shape the future of Lyft’s core rideshare offerings in partnership with product, design, engineering, and marketing stakeholders throughout the organization. 

Responsibilities:

• Design and analyze experiments to optimize service excellence across offerings — measuring reliability, growth, and rider retention.
• Build models and reporting frameworks that explain rider choice, conversion, and retention across different ride modes and product offerings.
• Establish metrics that measure the health of Lyft rideshare offerings and rider experience. Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and actions
• Develop insights that inform product strategies and global market adaptation.
• Contribute to Lyft’s experimentation and observability frameworks to ensure scientific rigor and actionable results.

Experience:

• Bachelor’s or Master’s degree in a quantitative discipline (Computer Science, Statistics, Economics, Mathematics, Operations Research, or related field).
• 2–4 years of experience in applied data science, analytics, or related roles.
• Strong proficiency in SQL and Python (or R), with experience analyzing large-scale datasets.
• Solid foundation in experimentation design, causal inference, and applied statistics.
• Demonstrated ability to translate complex, ambiguous problems into clear analysis and recommendations.
• Effective communication skills to influence product and cross-functional partners.

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 Toronto area is CAD $108,000 - CAD $135,000. 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.