IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 25, 2026

Hiring at a glance

View jobs

Open jobs: 2,692
Employers: 1,318

Advertised starting pay

Average starting payCAD / year: $98,564Across 257 listings
Average starting payCAD / hour: $48.32Across 88 listings
Average starting payUSD / year: $116,838Across 55 listings

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

Where work happens

Remote: 5%131 listings
Hybrid: 39%1,038 listings
On-site: 56%1,507 listings

Not specified: 1% (16 listings)

Employers hiring include RBC (55), Royal Bank of Canada (48), TD (44).

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

IT & data jobs in Canada

Email me new jobs Save this search

Added 1 month ago
IT Support Specialist
HighlightTA
Remote, Canada
$55,000 to $65,000 CAD / year
Full-time · Remote
Added 1 month ago
Manager, IT Support
Magnet Forensics
Waterloo, ON
$100,000 to $150,000 CAD / year
Full-time
Added 8 days ago
Sr to Principal Machine Learning Engineer, Framework & Performance
Qualcomm
Markham, ON
Full-time
Added 1 month ago
Data Engineer & Analyst – Climate Risk & Data Strategy
Royal Bank of Canada
Toronto, ON · Halifax, NS
Full-time
Join our Retail Credit technology team to drive the modernization of enterprise risk systems and climate data initiatives. You'll lead business and data analysis for our Climate Data…
Added 1 month ago
Senior Data Engineer, Data Platform & Operations
Talent Acquisition Team at Westland Insurance. Text reply only.
Surrey, BC
We're searching for a Senior Data Engineer, Data Platform & Operations. Are you searching for new possibilities?
Added 1 month ago
Data Engineer
J&M Group
Toronto, ON
Full-time
Build| Launch and scale DFPaaS (Data Factory Platform as a Service) across Client Data Product Prod
Added 1 month ago
Business System Analyst
J&M Group
Toronto, ON
Contract
Proficiency in querying and analyzing data using SQL
Added 1 month ago
Intermediate Data Engineer
Sandman Hotel Group
BC · West Vancouver, BC
Full-time
Added 1 month ago
Senior Network Technician
Real Time Networks
Milton, ON
Full-time
Added 1 month ago
Power BI Server Administrator
J&M Group
Toronto, ON
Full-time
Added 1 month ago
Helpdesk Technician
Mortgage Automator
Toronto, ON
$62,000 to $70,000 CAD / year
Full-time
Added 1 month ago
Senior Payments Business Systems Analyst (Domserv team)
CGI
Toronto, ON
Full-time
Collaborate with technical teams to define and document requirements for payment API integrations, MQ message queues, and file-based data feeds (ISO 20022 MT messages).
Added 2 months ago
Senior Data Engineer
Kainos
Halifax, NS
Full-time
Added 1 month ago
AWS Data Engineer
Pacer Group
Toronto, ON
$70 to $75 CAD / hour
Contract
10+ Years Strong hands-on experience with AWS Lake Formation, Amazon QuickSight infrastructure, and enterprise data platform services.
Added 1 month ago
Financial Systems Analyst
PCL Construction
Edmonton, AB
Added 18 days ago
Senior Data Modeler, GFT
Royal Bank of Canada
Toronto, ON
Full-time
Added 1 month ago
Data Engineer & Analyst – Climate Risk & Data Strategy
RBC
Halifax, NS · Toronto, ON · Bedford, QC
Full-time
Join our Retail Credit technology team to drive the modernization of enterprise risk systems and climate data initiatives. You'll lead business and data analysis for our Climate Data…
Added 1 month ago
HR Systems Analyst
Aliaxis
Oakville, ON
Full-time
Added 1 month ago
HR Systems Analyst
IPEX Group
Oakville, ON
Full-time
Added 1 month ago
Administrateur réseau/Network administrator
Cameleon RH
Pointe-Claire, QC
Full-time
Added 1 month ago
Data Engineer
Irth Solutions
Remote, Canada
Full-time · Remote
…North America and continues to expand its platform with new data-driven and…
Added 14 days ago
Senior Data Scientist, Commercial
HelloFresh
Toronto, ON
The Senior Data Scientist is responsible for building, testing, and deploying statistical and machine learning models, and conducting data deep dives which drive a better understanding of…
Added 1 month ago
Business Systems Analyst/Developer
Richards Packaging Inc.
Mississauga, ON
Full-time
Added 1 month ago
Cloud Systems Administrator
NDT Global
Quebec, QC · Greater Quebec City Metropolitan Area
Full-time
NDT Global is the leading provider of inline diagnostic solutions, advanced data insights, subsea inspection, and integrity management services that safeguard energy-sector infrastructure.…
Added 1 month ago
Data Architect
ICES
Toronto, ON
Full-time
ICES is a world-leading health research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and…

DuckDuckGo

Staff Data Scientist

Remote, Canada

Pay: $222,033 USD / year
Job type: Full-time
Workplace: Remote
Working hours: 40 hours per week
Posting language: English
Posted: Aug 19, 2026

Apply About employer

Applications open in a new tab.

Original job description

Who We Are

Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on Mac, Windows, iOS, and Android, our search engine, and the DuckDuckGo subscription. We also offer private, useful, and optional AI, including Duck.ai, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!

Your Team and Role

Working on the Data Science Functional Team, you'll drive product and business impact through improving our search engine ranking and results. Recent projects include:

Improving first-phase ranking quality and precision without sacrificing latency
Developing new lexical-matching and document-authority signals
Expanding our search evaluations to measure relevancy readiness and surface ranking blindspots
Investigating LLMs for feature generation and ranking

Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.

About You

You have 10+ years of experience in Data Science, with 2+ years at Staff, Principal, or Director level, and a track record of leading high-complexity projects from scoping to production with minimal direction.
You are comfortable advising others on complex data science work.
You can develop strategies for ambiguous, complex data science problems and turn them into a series of well-defined projects.
You have hands-on experience deploying ML in production, developing NLP solutions, and in AI-assisted development.
You write production-grade code in Python or a comparable high-level language.
You have advanced SQL and query optimization skills.
You collaborate effectively with product teams and contribute to overall team throughput.
Preferred experience:
- Running search-specific projects (ranking, retrieval, or indexing) from scoping to production
- Working with large-scale search infrastructure (e.g. Vespa, Elasticsearch, OpenSearch, or Solr)

Compensation

$222,033 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.

Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.

Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.

Hiring Process

Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire.

Diversity, Equity and Inclusion

DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.

Please note that:

You’ll be required to attend meetings on camera via video conferencing
Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
A successful candidate must pass a background check as a condition of joining the team.
By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.

Disclosure Statement: Use of AI in Hiring Process

As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.

Key Principles:

Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy. We ensure that your personal information is protected and used solely for recruitment purposes.
Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.

By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!

Apply About employer

More about this job

Responsibilities

You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.

Requirements

Candidates must have 10+ years of experience in Data Science with at least 2 years at a Staff, Principal, or Director level. You must possess hands-on experience deploying machine learning in production, writing production-grade Python code, and managing complex projects from scoping to execution.

Skills

Data Science
Machine Learning
NLP
Python
SQL
Search Ranking
Retrieval
Indexing
LLMs
Query Optimization
Project Management
Data Analysis
Search Infrastructure
Evidence-based decision making

Benefits

Stock options
Health benefits
Paid parental leave
Office setup allowance
Co-working allowance

Remote locations

Argentina
Austria
Bosnia and Herzegovina
Brazil
Bulgaria
Canada
Croatia
Cyprus
Czechia
Estonia
Hungary
Iceland
Ireland
Israel
Kyrgyzstan
Latvia
Malta
Mauritius
Mexico
Poland
Portugal
Romania
Singapore
Slovakia
Slovenia
South Africa
Spain
Switzerland
UK
Uruguay
USA

Remote locations (standardized)

Argentina
Austria
Bosnia and Herzegovina
Brazil
Bulgaria
Canada
Croatia
Cyprus
Czechia
Estonia
Hungary
Iceland
Ireland
Israel
Kyrgyzstan
Latvia
Malta
Mauritius
Mexico
Poland
Portugal
Romania
Singapore
Slovakia
Slovenia
South Africa
Spain
Switzerland
United Kingdom
United States
Uruguay

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
NLP
Python
SQL
Search Engine
Ranking
Retrieval
Indexing
LLMs
Vespa
Elasticsearch
OpenSearch
Solr
Query Optimization
Remote-first
Product Impact
Evidence-based
Production-grade code
Data Privacy

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