Data scientist jobs in Toronto, ON and nearby

Data scientist jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 523
Employers: 243

Advertised starting pay

Average starting payCAD / year: $132,249Across 37 listings
Average starting payCAD / hour: $72.15Across 26 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 55%286 listings
On-site: 45%236 listings

Not specified: <1% (1 listing)

Employers hiring include TD (37), BMO (11), RBC (11).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Toronto, ON and nearby

Within 25 km

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Added 1 month ago
RB
Associate - Quantitative Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
Added 2 months ago
T
Senior Applied Machine Learning Scientist, Predictive AI(B3617)
TD
Toronto, ON
- Full-time
Added 2 months ago
A
Data Scientist ⭐
Achievers
Toronto, ON
- Full-time
Our Data Scientists are a highly motivated and curious group. They're spearheading Achievers' efforts to build products powered by AI and enjoy solving all the problems that come with…
Added 2 months ago
Applied Data Scientist / Engineer (Toronto-Hybrid)
Shift Technology
Toronto, ON
…critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our…
Added 2 months ago
FR
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
- Full-time
Added 2 months ago
VR
Senior Data Modeler - 6 Month Contract
Venterra Realty
Richmond Hill, ON
- Contract
ROLE: Senior Data Modeler – 6 Months Contract
Added 2 months 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 2 months ago
Applied Machine Learning Scientist II
OpenTable
Toronto, ON
Added 2 months ago
TH
Data Scientist (Askuity division)
The Home Depot Canada
Toronto, ON
- Other
Added 2 months ago
A
Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Agoda
Toronto, ON
- Full-time
Added 2 months ago
JG
Senior Machine Learning Engineer
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Senior Machine Learning Engineer to support the AI CoE s Machine Learning and Data Science initiatives.
Added 2 months ago
Data Architect Fabric Platform Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Added 2 months ago
D
Sr Data Scientist / Power Systems Analyst
Deloitte
Toronto, ON
- Full-time
Added 2 months ago
Associate Data Scientist
Capgemini
Toronto, ON
Added 2 months ago
I
AI & Automation Data Scientist Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire Data Scientist en IA et Automatisation (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Toronto, ON
- $68,348.8 to $105,456 CAD / year
- Full-time
Added 2 months ago
SD
Data Scientist
Symbiotic Digital
Toronto, ON
- Contract
We are seeking a Senior Data Scientist to analyze complex
Added 2 months ago
TA
Data Architect (Knowledge Graph & Data Governance)
Tiger Analytics
Toronto, ON
- Full-time
…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have…
Added 2 months ago
Data Scientist - Algorithms, Mapping
Lyft
Toronto, ON
As a Data Scientist on the Mapping team, you will collaborate with our world class team of scientists, engineers, product managers, and designers to grow and improve the quality of…
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Added 2 months ago
JG
Data Scientist
J&M Group
Toronto, ON
- Full-time
Experience with Azure data tools - azure, databricks, MLflow, python
Added 2 months ago
C
Data Architect
Capco
Toronto, ON
- Full-time
Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You’ll work with clients to…
Added 2 months ago
BS
Sr. Data Scientist
B3 Systems
Toronto, ON
- Full-time
B3 enables enterprise manufacturers to digitize their operations and use AI to improve performance. Our AI & Data Science team builds the models, monitors, and AI features behind the…
Added 2 months ago
CM
Machine Learning Engineer
Clarius Mobile Health
Toronto, ON
- Temporary
Added 2 months ago
HN
Senior Data Scientist
Harvey Nash
Toronto, ON
- $65 to $70 CAD / hour
- Contract
We are seeking a highly skilled and motivated Senior Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to…
Added 2 months ago
AI and Data - Data Architect (Databricks)
EY
Toronto, ON
We are seeking a Manager/ Data Architect for our AI & Data practice team. We are looking for a candidate with strong technical

Lyft

Data Scientist - Algorithms, Mapping

Toronto, ON, Canada

Apply About employer

Applications open in a new tab.

Job details

Experience: 3+ years hands-on experience in a data science or machine learning role working with production machine learning models and optimization systems
Posting language: English
Posted: Sep 1, 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.

As a Data Scientist on the Mapping team, you will collaborate with our world class team of scientists, engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our geospatial, behavioural and mobility data, and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. The Mapping team serves models and systems that determine the most efficient routes, fastest travel estimates and process real-time map data signals to detect traffic, closures and slowdowns. Working with our business and analytics partners, the team owns tools to ensure Lyft offers routes that our users trust. This will involve identifying and scoping opportunities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in Mapping, including:

How do we accurately predict acute and chronic traffic conditions?
How do we improve the recommendations of our routing algorithms?
How do we keep our travel estimation promises to our riders and drivers?
How do we benchmark and measure the success of our services?

Responsibilities:

Own the complete lifecycle of algorithmic solutions from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration
Prioritize and lead deep dives into our data to uncover new product and business opportunities
Partner closely with Engineering to build and scale production-grade ML systems, real-time inference services, batch pipelines, and feature stores
Design, implement, and analyze different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
Drive scientific excellence by introducing modern techniques in ML, optimization, reinforcement learning, or graph-based methods to unlock new product capabilities
Establish metrics that measure the health of our products, as well as rider and driver experience
Translate complex business challenges into concrete algorithmic solutions in close collaboration with Product, Engineering, Operations, and Science teams

Experience:

Advanced degree in a quantitative field such as statistics, physics, economics, operations research, neuroscience, or engineering, or relevant work experience
3+ years hands-on experience in a data science or machine learning role working with production machine learning models and optimization systems
Passion for solving unstructured and non-standard mathematical problems
Experience independently driving multi-project algorithmic scopes and navigating technical ambiguity from ideation to delivery
Experience with machine learning models in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments
Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
Working knowledge of modern machine learning frameworks and distributed computing systems, including PyTorch, TensorFlow, Ray, Spark, etc.

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.

Apply About employer

More about this job

Responsibilities

You will own the complete lifecycle of algorithmic solutions for mapping, from problem formulation and data exploration to deployment and monitoring. You will also partner with engineering and product teams to build scalable ML systems that improve routing accuracy and travel time estimations.

Requirements

Candidates must have an advanced degree in a quantitative field and at least 3 years of hands-on experience in data science or machine learning. Strong proficiency in modern ML frameworks and the ability to navigate technical ambiguity are essential.

Skills

Data Science
Machine Learning
Optimization
Reinforcement Learning
Graph-based methods
Feature engineering
Python
PyTorch
TensorFlow
Ray
Spark
Geospatial analysis
Statistical modeling
Data exploration
Algorithmic problem solving

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

Data Science
Mapping
Algorithms
Machine Learning
Geospatial Data
Mobility Data
Optimization
Reinforcement Learning
Graph-based Methods
Feature Engineering
Production ML
Real-time Inference
Batch Pipelines
Feature Stores
PyTorch
TensorFlow
Ray
Spark
Data Exploration
Predictive Modeling
Routing Algorithms
Traffic Analysis
Metrics
Product Development
Cross-functional Collaboration

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