Data Scientist, Algorithms - Driver Incentives

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

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Verification

Not verified

Salary

CAD 108K-135K From the posting source checked Jun 20, 2026

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist, Algorithms - Driver Incentives Toronto, Canada 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

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