About the role
General Information
Locations: Vancouver, British Columbia, Canada
Worker Type: Regular Employee
Studio/Department: EA Studios - SPORTS
Work Model: Hybrid
Description
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. EA SPORTS is one of the most iconic brands in entertainment, connecting hundreds of millions around the world to the sports they love. As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences.
As a Data Scientist, you will help improve the FC franchise by designing experiments, measuring outcomes, and leveraging data-driven methods to deliver personalized and dynamic content to players. You are a technically oriented individual knowledgeable of how to use data and AI systems to solve product problems. You will report to an embedded data science team in FC and work with product managers, engineers, and technical leaders.
Responsibilities
- 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.
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.
Compensation and Benefits
Pay Range (British Columbia): $104,500 - $142,800 CAD
Benefits:
- Vacation: 3 weeks per year to start.
- Sick Time: 10 days per year.
- Parental Leave: Paid top-up to EI/QPIP benefits up to 100% of base salary (12 weeks for maternity, 4 weeks for parental/adoption leave).
- Insurance: Extended health, dental, vision, life insurance, and disability insurance.
- Retirement: Retirement plan provided for regular full-time employees.
- Incentives: Certain roles may be eligible for bonus and other incentive programs.
- Additional Perks: Mental well-being support, complimentary games, and programs focused on physical, emotional, financial, career, and community wellness.
About Electronic Arts
Electronic Arts values adaptability, resilience, creativity, and curiosity. The company adopts a holistic approach to employee wellness and offers a supportive environment that provides opportunities for growth, learning, and experimentation. Electronic Arts is an equal opportunity employer committed to providing workplace accommodations as required by law.