Data Scientist

Role

216175

Worker Type

Regular Employee

Studio/Department

Work Model

Hybrid

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

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…