Data scientist jobs in Toronto, ON and nearby

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Added 1 hour ago
Senior Data Scientist, Autonomous Vehicles
Lyft
Toronto, ON
…Vehicles (AVs) to riders domestically and abroad. As the Staff Data Scientist for AV, you will be the science leader for one of the most strategic bets at the company. You will set the…
Added 1 hour ago
IQ
ERWIN + AWS REDSHIFT GURU | SENIOR DATA MODELER | LIQUIBASE | TORONTO, CANADA
Infinity Quest
Toronto, ON
- Contract
DATA MODELLING PRO | ERWIN + AWS REDSHIFT | LIQUIBASE | TORONTO, CANADA | 8+ YRS
Added 2 hours ago
TI
Data Scientist
TekStaff IT Solutions
Toronto, ON
- Contract
TekStaff's Client has a current vacancy for a Data Scientist
Added 2 hours ago
ND
Data Architect
Ness Digital Engineering
Toronto, ON
- Contract
…partner, we help engineer your company’s future with cloud and data. For more information, visit…
Added 15 hours ago
Staff Machine Learning Engineer, AdTech
HelloFresh
Toronto, ON
…products. In this role, you will bridge the gap between our data scientists and backend engineers, connecting internal automation APIs, AI agents, and the supporting ML models into a…
Added 17 hours ago
Senior Data Scientist, Customer Value Forecasting
HelloFresh
Toronto, ON
This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week
Added 18 hours ago
PX
Data Architect
Project X Ltd.
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 18 hours ago
CS
Data Architect
Cyber Space Technologies LLC
Toronto, ON
- Contract
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation…
Added 18 hours ago
FI
Data Scientist - AI, Machine Learning
FP Inc.
Toronto, ON
- $60 to $70 CAD / hour
- Contract
The Senior Data Scientist is expected to demonstrate robust logical reasoning, intellectual curiosity, adaptability, and effective collaboration skills. The role requires proficiency across…
Added 19 hours ago
NF
Data Scientist
Northbridge Financial Corporation
Toronto, ON
- Full-time
We have a flexible hybrid model that allows you to work from home up to 2 days per week, with added flexibility for when you really need it
Added 20 hours ago
PX
Data Architect
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 21 hours ago
CL
Data Scientist
CoreTek Labs
Mississauga, ON
- Contract
Role: Lead Data Scientist with AI/ML - (Healthcare life science/Medical Device)
Added 21 hours ago
EI
Snowflake Data Architect
Extend Information Systems Inc.
Markham, ON
- Contract
We are seeking an experienced Snowflake Data Architect to design, develop, and implement scalable, secure, and high-performance enterprise data architecture solutions using Snowflake. The…
Added 21 hours ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 23 hours ago
D
Senior Data Scientist - AI & Advanced Analytics
Delpath
Toronto, ON
- Contract
The Senior Data Scientist within the Corporate Functions Analytics team is responsible for designing and implementing advanced analytics and artificial intelligence (AI) solutions that…
Added 1 day ago
R
Data Scientist, SAS-to-Python Migration (Expert)
Raise
Toronto, ON
- Full-time
Must Have Skills
Added 1 day ago
R
Data Scientist, SAS-to-Python Migration
Raise
Toronto, ON
- Full-time
Must Have Skills
Added 1 day ago
OS
Data Scientist
Ontario Securities Commission
Toronto, ON
- Full-time
…misconduct. The division is currently hiring for the position of a Data Scientist to be a part of the eDiscovery & Analytics…
Added 1 day ago
ET
Data Architect
Envision Technology Solutions
Toronto, ON
- Contract
The Data Architect will be responsible for defining enterprise data strategies, building robust data solutions, and ensuring data quality, governance, security, and accessibility across the…
Added 1 day ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
The role involves working across the ML lifecycle, including data analysis, feature preparation, experimentation, training, and evaluation.
Added 1 day ago
K
Data Scientist
Kelly
Toronto, ON
- Contract
Job Title: Data Science AI & Advanced Analytics
Added 1 day ago
S
Data Scientist (Aerospace)
SOTI
Mississauga, ON
- Full-time
We are looking for a Data Scientist, Aerospace with strong ownership of complex model development, multi-sensor analytics, and end-to-end integration for autonomous drones and robotics.
Added 1 day ago
S
Data Scientist (Aerospace)
SOTI
Mississauga, ON
- Full-time
We are looking for a Data Scientist, Aerospace with strong ownership of complex model development, multi-sensor analytics, and end-to-end integration for autonomous drones and robotics.
Added 1 day ago
M
Data Scientist
Mindlance
Toronto, ON
- $70 to $75 CAD / hour
- Contract
Senior Data Scientist – SAS to Python Migration
Added 1 day ago
Senior Data Scientist
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office

Lyft

Senior Data Scientist, Autonomous Vehicles

Toronto, ON, Canada

Apply on app.careerpuck.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 12, 2026

Original job description

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 future of Lyft is a hybrid network, where autonomous vehicles and human drivers serve riders side by side on one platform. That future has already started. In September 2026, Lyft riders in Nashville were matched with Waymo autonomous vehicles on the Lyft app for the first time, a milestone years in the making. Through Flexdrive, Lyft manages the depots, charging and maintenance that keep autonomous fleets on the road. Our partnerships now span Waymo in Nashville, May Mobility in Atlanta and Baidu in Europe, with more on the way.

We are early, and the playbook for running a hybrid marketplace at scale hasn't been written yet. You will help write it.

The Global Growth organization is charting the future of Lyft's growth beyond North American rideshare's core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and bringing Autonomous Vehicles (AVs) to riders domestically and abroad. As the Staff Data Scientist for AV, you will be the science leader for one of the most strategic bets at the company. You will set the vision for how we measure, optimize and grow autonomous rides on Lyft, and you will shape the strategy behind which partners we work with, which markets we enter and which products we build to win.

This is a high-visibility role with direct exposure to Lyft's executive team and to our AV partners. You will work closely with engineering, product, operations, policy and partnership leaders, act as the bridge to our central marketplace science teams, and represent Lyft science in working sessions with partner teams. You will also have the opportunity to grow and define the AV science function as it scales.

The ideal candidate is a thought leader who pairs deep technical rigor with strong business judgment. You are as comfortable designing an experiment or building a causal model as you are walking a senior leader through a recommendation. In this role, you will help us tackle problems such as:

Hybrid matching: When a rider requests a ride, how should the marketplace decide between an AV and a human driver, and how does that choice affect wait times, AV utilization and driver earnings?
Incrementality: What is the true incremental value of an AV ride to Lyft, beyond the ride itself, and how do we translate partner metrics into Lyft's topline?
Rider trust and adoption: What makes a rider choose, trust or opt out of an autonomous ride, and how should the product experience earn that trust?
Partnership performance: What shared metrics and service quality guardrails should define success with each AV partner, and how do we use them to improve the product together?
Expansion strategy: Which markets, partners and use cases (such as airports) should we launch next, how large is each opportunity, and what does it take to win?
Fleet economics: How do depot, charging and maintenance decisions shape AV availability, and where does Lyft's fleet operations model create the most value?
The global picture: How does our autonomous roadmap fit with international expansion and our premium modes?

Responsibilities:

Set the multi-year science vision and roadmap for AV at Lyft, and align engineering, product and partnership leaders around it
Define the metrics framework for AV success, including incrementality, service quality and rider experience, and drive it into partner reviews and executive reporting
Design and lead experiments and causal analyses on AV products, from rider onboarding to matching to post-ride experience
Partner with central marketplace science teams to shape matching, pricing and supply models that work for a hybrid network
Build the market sizing and business cases that guide where Lyft launches AVs next
Represent Lyft science with AV partners and turn joint data into product improvements
Mentor data scientists and analysts across Global Growth and help build the AV science team

Experience:

Advanced quantitative background: Master's or PhD in Economics, Statistics, Operations Research, Applied Math, Computer Science or a related field, or equivalent high-impact industry experience
7+ years in applied data science or applied science, with a track record of work that changed product direction or business strategy
Deep, hands-on experience with causal inference and experimentation, including experiment design in two-sided marketplaces, counterfactual analysis and measuring incrementality
Experience setting the technical direction for a product area and influencing roadmaps across multiple teams
Experience presenting to senior executives and external partners, and turning complex analysis into clear decisions
Strong proficiency in Python and SQL
Nice to have: experience in autonomous vehicles, robotics, mobility, logistics or delivery; optimization or marketplace modeling; fleet operations or unit economics; international market expansion
Skills
- Ability to think strategically about complex, unstructured problems and turn them into a clear science roadmap
- Ability to choose the right method for the decision, and to explain the trade-off between rigor and speed
- Ability to break down large, messy datasets, including data shared by external partners, and synthesize inputs from multiple sources
- Ability to craft a compelling story and concisely present recommendations to technical and non-technical audiences, including senior leadership
- Ability to lead, influence and inspire others without formal authority in a fast-moving and ambiguous environment
- Strong product and user experience sense, with real curiosity about how riders experience a new technology
- Entrepreneurial self-starter who takes ownership, spots opportunities early and does what it takes to drive results

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 $136,000 - CAD $170,000, 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.

Apply on app.careerpuck.com About employer

More about this job

Responsibilities

Define the multi-year science vision and roadmap for autonomous vehicles while establishing a metrics framework for success. Lead experiments, causal analyses, and cross-functional partnerships to optimize marketplace performance and product strategy.

Requirements

Requires an advanced quantitative degree such as a Master's or PhD in a relevant field and 7+ years of applied data science experience. Candidates must demonstrate deep expertise in causal inference, experimentation, and the ability to influence product strategy at a senior level.

Skills

Data science
Causal inference
Experimentation
Python
SQL
Marketplace modeling
Strategic planning
Product strategy
Statistical analysis
Operations research
Business judgment
Leadership
Communication
Mentoring
Data visualization

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Autonomous Vehicles
Data Science
Marketplace Science
Causal Inference
Experimentation
Python
SQL
Operations Research
Statistics
Applied Math
Computer Science
Product Strategy
Fleet Economics
Counterfactual Analysis
Incrementality
Hybrid Marketplace
Data Analysis
Leadership
Mentorship
Business Intelligence

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Data scientist jobs in Toronto, ON and nearby