Data Scientist
Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 30, 2026.
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.