IT & data jobs in Canada

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

Counted Sep 30, 2026

Hiring at a glance

View jobs

Open jobs: 2,594
Employers: 1,313

Advertised starting pay

Average starting payCAD / year: $98,322Across 256 listings
Average starting payCAD / hour: $53.49Across 89 listings
Average starting payUSD / year: $118,002Across 52 listings

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

Where work happens

Remote: 5%130 listings
Hybrid: 39%1,024 listings
On-site: 55%1,425 listings

Not specified: 1% (15 listings)

Employers hiring include TD (46), J&M Group (39), Amazon (37).

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

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EA SPORTS

Data Scientist

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Experience: 1 year of work experience in data science, analytics, or a related area.
Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.

With more opportunity than ever to design, innovate, and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.

Your Role

As a Data Scientist, you will help us improve our FC franchise by designing experiments, measuring outcomes, and leveraging data-driven methods to deliver personalized and dynamic content to our players. You are a technically oriented individual knowledgeable of how to use data and AI systems to solve product problems. You report to an embedded data science team in FC and will work with us, along with product managers, engineers, and technical leaders who bring EA Sports FC to life.

What a Data Scientist Does At EA

Design experiments and measure their outcomes to determine optimal or preferred content.
Maintain and develop new recommender models that help players navigate a broad and diverse array of content.
Understand how to use principles of statistics and machine learning to help learn and tune in game experiences while staying aware of their consequences.
Draft technical solutions when presented with a problem to a less technical audience.
Prototype new technology that fits use cases/problems and validates against success criteria.
Support peers with technical reviews, ensuring quality coding and deployment practices.

Your Qualifications

BS in Mathematics, Statistics, Economics, Computer Science, or related; or equivalent experience.
1 year of work experience in data science, analytics, or a related area.
Experience developing a production-ready codebase alongside other contributors.
Familiarity with SQL, including experience querying complex, semi-structured data sets in a data lake environment.
Experience developing statistical and machine learning models using languages like Python or R and using tools like Sagemaker or Databricks.
Knowledge of programming best practices, version control, and automation.
Experience presenting to and gathering requirements from people at multiple levels of business and technical expertise.

Pay Transparency - North America

Compensation And Benefits

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

British Columbia (depending on location e.g. Vancouver vs. Victoria) *$104,500 - $142,800 CAD

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Apply About employer

More about this job

Responsibilities

Design experiments and analyze outcomes to optimize in-game content, while developing and maintaining recommender models that help players discover content. Apply statistical and machine learning methods to improve player experiences, prototype and validate technical solutions, communicate recommendations to varied audiences, and support code and deployment quality through technical reviews.

Requirements

A bachelor's degree in mathematics, statistics, economics, computer science, or a related field - or equivalent experience - is required, along with at least one year of experience in data science, analytics, or a related area. Candidates should have experience with production code, complex SQL queries on semi-structured data, statistical and machine learning models using Python or R and tools such as SageMaker or Databricks, programming best practices, version control, automation, and communicating with business and technical stakeholders.

Skills

Data Science
Experiment Design
Statistical Analysis
Machine Learning
Recommender Systems
SQL
Python
R
Amazon SageMaker
Databricks
Semi-Structured Data
Data Lakes
Production-Ready Code
Version Control
Automation
Technical Communication

Benefits

Vacation
Sick Leave
Paid Parental Leave
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Retirement Plan
Bonus
Incentive Programs

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Electronic Arts
EA Sports FC
Experiment Design
Outcome Measurement
Personalization
Dynamic Content
Recommender Models
Statistics
Machine Learning
SQL
Semi-Structured Data
Data Lake
Python
R
Amazon SageMaker
Databricks
Production-Ready Code
Programming Best Practices
Version Control
Automation
Technical Reviews
Deployment Practices
Prototyping
Success Criteria
Product Management
Video Games
Player Experience

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