Data Scientist, Algorithms - Driver Incentives

Lyft

Toronto, CAonsite$80k-$100k/yrPosted Apr 21, 2026
Posting intelligenceListed a whileReposted 8×, possible evergreen/ghost posting

At a glance

Highlights

  • Hybrid schedule with in-office collaboration
  • Competitive base pay range
  • Comprehensive benefits package
  • 18 weeks paid parental leave

Why this role might suit you

The role offers exposure to diverse transportation optimization challenges, competitive compensation, comprehensive benefits, and a collaborative hybrid environment that influences driver incentive strategies.

Skills

pythonmachine-learningoptimizationexperiment-designdata-visualizationrmatlab

About the role

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.

Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.

You will report into a Science Manager.

Responsibilities:

Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.

Perform exploratory data analysis to gain a deeper understanding of the problem

Construct and fit statistical, machine learning, or optimization models

Write production modeling code; collaborate with Software Engineers to implement algorithms in production

Design and run both simulated and live traffic experiments

Analyze experimental and observational data; communicate findings; facilitate launch decisions

Experience:

Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields

2+ years professional experience in a technology companies

Passion for solving unstructured and non-standard mathematical problems

End-to-end experience with data, including querying, aggregation, analysis, and visualization

Proficiency with Python, or another interpreted programming language like R or Matlab

Willingness to collaborate and communicate with others to solve a problem

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 with company match 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 and Lyft ride credits

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, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Compensation

This Data Scientist role pays $80k-$100k/yr. Within typical range for data scientist roles in Canada.

Questions about this role

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