Electronic Arts creates top-notch entertainment experiences that inspire players and fans globally. Here, everyone is part of the story, connected worldwide, where creativity thrives, new perspectives are encouraged, and ideas matter. As part of a team where everyone can contribute, you will be driving innovation and progress.
Central Technology at EA accelerates creative opportunity and progress, transforming interactive entertainment as a world-class community of technologists, innovators, strategists, and orchestrators. Together, we power platforms, AI-driven tools, live services, and infrastructure for global scale, secure player experiences, and new possibilities.
EA Security protects players, employees, products, and platforms by setting security standards, supporting game and enterprise teams, assessing risk, and ensuring compliance with global requirements. This work strengthens system integrity, supports fair play, and enables teams to build and operate securely at scale.
As a Senior Data Scientist, you will lead end-to-end data science initiatives from problem definition to deployment and monitoring. Your responsibilities include:
- Designing and developing statistical and machine learning models to detect cheating, fraud, account abuse, and other platform risks
- Building scalable features, risk signals, and detection frameworks using gameplay telemetry, player behaviour, and operational data
- Investigating complex abuse patterns and translating insights into models, rules, and recommendations
- Establishing best practices for model evaluation, monitoring, and impact measurement
- Collaborating with product, security, and operations teams to develop data-driven prevention strategies
- Mentoring junior data scientists and promoting reusable data science practices
Required qualifications include:
- 7+ years of experience in Data Science, Machine Learning, or a related field
- Strong proficiency in Python or R and advanced SQL
- Experience leading end-to-end machine learning projects and building statistical models
- Expertise in model evaluation, feature engineering, and translating business problems into analytical solutions
- Proven ability to partner cross-functionally with engineering, product, and security teams
Preferred qualifications:
- Experience in gaming, anti-cheat, trust & safety, or cybersecurity
- Familiarity with gameplay telemetry, player behaviour analytics, and live-service game operations
- Experience operationalizing ML solutions with cloud and data platforms
- Balancing detection effectiveness with player experience, operational efficiency, and business impact
Electronic Arts offers a comprehensive benefits package, including physical, emotional, financial, and collective well-being support. The company values adaptability, resilience, creativity, and curiosity, providing opportunities for growth and development.
Electronic Arts is an equal opportunities employer, considering candidates regardless of race, colour, national origin, sex, gender identity, sexual orientation, age, genetic information, religion, disability, or other protected characteristics.
