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Added 1 hour ago
Software Developer II
LMI Technologies
Burnaby, BC
$93,000 to $139,000 CAD / year
Full-time
This is your chance to be a key driver of LMI's GoPxL product platform. GoPxL is the next-generation platform behind the 3D sensors that are the "eyes" of industrial automation, and we have…
Added 1 hour ago
Senior Java Full Stack Developer
CGI
Toronto, ON
Full-time
CGI is looking for an experienced Full Stack Developer to work on challenging assignments related to the modernization and evolution of large-scale financial applications.
Added 2 hours ago
Associate Director, AI Products Development Lead
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Full-time
…a track record of shipping production AI products, uses AI tools to accelerate delivery velocity, mentors developers in AI-augmented development practices, and collaborates…
Added 2 hours ago
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Ottawa, ON
$60 to $80 CAD / hour
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Ottawa, ON · Mississauga, ON · Richmond Hill, ON · Waterloo, ON
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Data Analyst, Go-To-Market Sales Insights
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Senior Analyst, Business Analysis And Insights - GIS
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Added 4 hours ago
Software Developer II
LMI Technologies
Burnaby, BC
$93,000 to $139,000 CAD / year
Full-time
This is your chance to be a key driver of LMI's GoPxL product platform. GoPxL is the next-generation platform behind the 3D sensors that are the "eyes" of industrial automation, and we have…
Added 5 hours ago
Associate Director, AI Products Development Lead
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Added 5 hours ago
Senior Manager, Maintenance
CONA Services
Brampton, ON
For more information about Coke Canada Bottling and our products, visit cokecanada.com/our-product.
Added 5 hours ago
Senior Manager, Maintenance
CONA Services
Brampton, ON
For more information about Coke Canada Bottling and our products, visit cokecanada.com/our-product.
Added 6 hours ago
Growth Marketing Manager
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Electronic Arts

Data Scientist

Vancouver, BC, Canada

Experience: 1 year of work experience in data science, analytics, or a related area.
Posting language: English
Posted: Oct 1, 2026

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Original job description

General Information

Locations: Vancouver, British Columbia, Canada

Role ID

216175

Worker Type

Regular Employee

Studio/Department

EA Studios - SPORTS

Work Model

Hybrid

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.

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More about this job

Responsibilities

The Data Scientist will design experiments and measure outcomes to optimize content for the FC franchise. They will also develop recommender models and prototype new technologies to improve player experiences.

Requirements

Candidates must have at least a bachelor's degree in a quantitative field and a minimum of one year of work experience in data science or analytics. Proficiency in SQL, Python or R, and experience with machine learning models in a production environment are required.

Skills

Data science
Statistics
Machine learning
Python
R
SQL
Recommender models
Experimental design
Data analysis
Sagemaker
Databricks
Version control
Automation
Technical communication
Prototyping

Benefits

Vacation
Sick time
Paid parental leave
Extended health coverage
Dental coverage
Vision coverage
Life insurance
Disability insurance
Retirement plan
Mental well-being support
Complimentary games

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Statistics
Machine Learning
Python
R
SQL
Sagemaker
Databricks
Recommender Systems
Experimental Design
Data Lake
Production Code
Automation
Version Control
EA Sports
Gaming
Football
Data Analytics
Predictive Modeling
Product Development

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