Data scientist jobs in Canada

Find data scientist jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 922
Employers: 451

Advertised starting pay

Average starting payCAD / year: $125,601Across 96 listings
Average starting payCAD / hour: $71.22Across 38 listings

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

Where work happens

Remote: 7%65 listings
Hybrid: 48%442 listings
On-site: 45%414 listings

Not specified: <1% (1 listing)

Employers hiring include TD (42), National Bank of Canada (20), Desjardins (14).

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 Canada

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Added 17 days ago
(Senior) Data Scientist
PartnerRE Ltd.
Toronto, ON
Added 17 days ago
M
Senior Data Scientist - GenAI
Manulife
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement…
Added 17 days ago
MR
Data Architect
MPA Recruitment
Toronto, ON
- $160,000 to $200,000 CAD / year
- Full-time
…software at some point in your life. They are now looking for a Data Architect to join their team in Halifax or Toronto…
Added 17 days ago
CS
Data Architect
Cyber Space Technologies LLC
ON · Ontario, Canada
- 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 17 days ago
R
Lead Data Scientist, AML Analytics
RBC
Vancouver, BC · Toronto, ON
- Full-time
As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory…
Added 17 days ago
CT
Data Architect
Celebal Technologies
Ottawa, ON
- Contract
We are seeking a hands-on Data Engineer with strong Databricks expertise to design, develop, and optimize scalable data pipelines and cloud-based data platforms.
Added 17 days ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in National Bank’s IFRS-9 and Credit Risk Analytics team, you will be responsible for IFRS-9 reporting, risk analytics, process development, and risk data…
Added 19 days ago
NB
Senior Data Scientist
National Bank of Canada
AB · Edmonton, AB
- Full-time
operationalizing data science solutions that improve client experience,
Added 19 days ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON · Etobicoke, ON
- Full-time
Added 20 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 20 days ago
A
Senior Data Scientist
Autodesk
Toronto, ON
- Full-time
Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive…
Added 20 days ago
A
Senior Data Scientist
Autodesk
Toronto, ON
- Full-time
Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive…
Added 20 days ago
Machine Learning Engineer, Software QA - Creativity Apps
Apple
Vancouver, BC
Added 20 days ago
AS
Data Scientist, ADE Analytics
Amazon Science
Vancouver, BC
- Full-time
As a Data Scientist on our team, you'll work with complex data, d
Added 20 days ago
AI Data Scientist
Conga
Canada
Added 20 days ago
Data Architect
Konrad
Toronto, ON
Added 20 days ago
H
AI & Data Architect
Highspring
Montreal, QC · Greater Montreal Metropolitan Area
- Contract
…to help them accelerate transformation through technology, data, and innovation. At Highspring, we believe in empowering our people, fostering technical leadership, and delivering…
Added 20 days ago
S
Senior Machine Learning Engineer
ServiceNow
Toronto, ON
- Full-time
…reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow - helping 85% of the Fortune 500® work smarter,…
Added 20 days ago
M
Staff Machine Learning Engineer, Rewards Economy
Mistplay
Toronto, ON
- $180,000 to $220,000 USD / year
- Full-time
Added 20 days ago
S
Data Scientist - Applied AI/Gen AI
Sanofi
Toronto, ON
- Full-time
Added 20 days ago
T
Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 20 days ago
E
Data Scientist, Research and Foresight
eCampusOntario
Toronto, ON
- $67,927 to $84,909 CAD / year
- Full-time
Added 20 days ago
M
Senior Data Scientist
Mphasis
Calgary, AB
- Full-time
You will work as a forward deployed data scientist: embedded with enterprise clients, turning ambiguous business problems into working analytical and AI solutions, and staying with the work…
Added 20 days ago
P
Data Scientist
Pelmorex
Oakville, ON
- Full-time
Added 20 days ago
P
Data Scientist
Pelmorex
Oakville, ON
- Full-time

Autodesk

Senior Data Scientist

Toronto, ON, Canada

For Canada based roles, we expect a starting base salary between $107,000 and $156,200. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: For Canada based roles, we expect a starting base salary between $107,000 and $156,200.
Job type: Full-time
Apply by: Nov 15, 2026
Experience: 5+ years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field
Posting language: English
Posted: Oct 16, 2026

Original job description

Job Requisition ID #

26WD101438

Position Overview

Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive models, machine learning products, and applied AI solutions that help Autodesk better understand customers and improve go-to-market decisions across the customer lifecycle.

In this role, you will apply machine learning, statistical methods, and practical AI techniques to complex business problems with meaningful impact. You will work across complex, real-world datasets, develop and improve models, and partner with cross-functional stakeholders to turn data into scalable products and business insights. This role is well suited for a strong individual contributor who brings deep technical judgment, thrives in ambiguity, and can guide high-impact work across multiple efforts.

Responsibilities

Design, develop, validate, and improve data science models and products. Participate in stakeholder planning sessions to gather context on ambiguous business challenges, and recommend data science modeling approaches that can drive business impact
Define customer and business value metrics, evaluation approaches, and validation criteria for models and products, including in situations with imperfect or incomplete data
Use SQL to transform complex data and build scalable datasets for modeling and analysis
Work with the machine learning engineering team to develop, validate, and deploy machine learning and AI products
Collaborate with product owners and other stakeholders to shape new data product ideas or enhancements
Develop technical design and architecture documentation for data science and AI products
Help drive technical direction, working alongside engineering and product owners to navigate tradeoffs and execution decisions
Manage priorities across multiple projects, including helping shape tradeoffs and cross-functional team priorities
Become an expert in Autodesk data - recommend approaches to make reusable features and data products that can be leveraged to ensure data science products are built on trusted, stable and scalable foundation
Communicate analyses, model performance, methodology, and recommendations clearly to technical and non-technical audiences

Minimum Qualifications

5+ years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field
Advanced Python and SQL skills, including experience working with large-scale data warehouses
Experience leading end-to-end development of machine learning models, data science products, or advanced analytical solutions in a business environment
Strong communication skills and the ability to explain technical concepts, decisions, and tradeoffs to different audiences

Preferred Qualifications

Experience with dbt
Familiarity with go-to-market data such as Salesforce, financial metrics, or product usage and engagement data
Experience using AI productivity and coding tools

The Ideal Candidate

Translate complex data into actionable business insights and compelling stories for technical and non technical stakeholders
Partner with product owners and cross functional teams to define priorities and solve high impact business problems
Analyze large and complex datasets while maintaining a strong focus on data quality and accuracy
Apply statistical, analytical, and machine learning techniques to solve ambiguous business challenges
Define success metrics, measure outcomes, and recommend data driven solutions to improve business performance
Lead end to end analytics projects and contribute to process improvements and best practices
Communicate findings and recommendations clearly to influence business decisions
Work independently while collaborating effectively across teams and mentoring junior team members when needed
Build strong stakeholder relationships and proactively identify opportunities to drive business impact
Connect analytical insights to broader business strategy and organizational goals

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $107,000 and $156,200. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Apply About employer

More about this job

Responsibilities

Design, validate, and improve machine learning models and data products, using SQL and complex datasets to address ambiguous business challenges and define measures of success. Partner with engineering, product owners, and other stakeholders to guide technical decisions, develop scalable and trusted data foundations, and communicate findings and recommendations.

Requirements

Requires at least five years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field, along with advanced Python and SQL skills. Candidates should have led end-to-end machine learning or analytics solutions in a business setting and be able to communicate technical concepts and tradeoffs to varied audiences.

Skills

Machine Learning
Statistical Methods
Applied AI
Python
SQL
Data Warehousing
Predictive Modeling
Data Product Development
Model Validation
Data Transformation
Data Quality
Stakeholder Collaboration
Technical Communication
Business Analytics
dbt
Salesforce

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Data Analytics
Machine Learning
Artificial Intelligence
Applied AI
Predictive Models
Statistical Methods
Python
SQL
Large-Scale Data Warehouses
Data Products
Model Validation
Model Performance
Data Transformation
Data Quality
Data Architecture
Customer Lifecycle
Go-to-Market Data
Salesforce
Financial Metrics
Product Usage Data
Engagement Data
dbt
Business Metrics
Cross-Functional Collaboration
Stakeholder Communication
Data-Driven Decision-Making
AI Productivity Tools
Coding Tools

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