At Lyft, our purpose is to serve and connect. Data Science is at the heart of Lyft’s products and decision‑making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long‑term business strategy with data, to making critical short‑term decisions, to developing algorithms and models that power both internal systems and customer‑facing products.

Driver Incentives

Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real‑time supply positioning to longer‑horizon earnings and engagement programmes. As a Data Scientist specialising in Algorithms, you’ll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long‑term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimisation backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. collaborate with Software Engineers to implement algorithms in production.

Perform exploratory data analysis to gain a deeper understanding of the marketplace and its users. Communicate findings and facilitate launch decisions with technical and non‑technical stakeholders. Advanced degree (MS or PhD, PhD preferred) in a quantitative field like Operations Research, Applied Math, Computer Science, Statistics, Engineering, or a related area; or equivalent work experience.

Passion for solving unstructured and non‑standard mathematical problems, with 2+ years of hands‑on experience in optimisation (preferred), causal inference, or machine learning. End‑to‑end experience with data, including querying, aggregation, analysis, and visualisation. Proficiency with Python.





Experience seeking out and adopting new methods and techniques.

Experience designing, running, and analysing A/B tests to validate hypotheses and inform decision‑making. Extended health and dental coverage options, along with life insurance and disability perks 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 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. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. 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.

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

📌 Data Scientist F/H - Informatique de gestion (H/F) (Toronto)
🏢 Lyft
📍 Toronto