Sr Data Scientist

As a Senior Data Scientist at Electronic Arts, you will lead end-to-end data science initiatives to detect cheating, fraud, account abuse, and other emerging platform risks.

Responsibilities:

• Design and develop statistical and machine learning models to identify and mitigate risks
• Build scalable features, risk signals, and detection frameworks using gameplay telemetry, player behavior, account, transaction, and operational data
• Investigate complex abuse patterns and translate insights into models, rules, dashboards, and recommendations
• Establish best practices for model evaluation, monitoring, drift detection, and impact measurement
• Collaborate with product, security, anti-cheat, fraud, game, and operations teams to develop data-driven prevention and enforcement strategies
• Mentor junior data scientists and promote reusable data science practices

Requirements:

• 7+ years of experience in Data Science, Machine Learning, Applied Statistics, Fraud Detection, Security Analytics, Trust & Safety, or a related analytical field
• Strong proficiency in Python or R and advanced SQL
• Experience leading end-to-end machine learning projects from problem definition through production deployment
• Expertise building statistical or machine learning models using large-scale datasets
• Strong understanding of model evaluation, including precision/recall tradeoffs, threshold optimization, and model performance measurement

Benefits:

• Comprehensive benefits package, including health services, mental well-being support, retirement savings, paid time off, family leave, free games, and more
• Flexible work arrangements, including hybrid and remote work options
• Opportunities for growth and professional development in a dynamic and collaborative environment