Data Scientist

About The Company

Electronic Arts (EA) is a globally recognized leader in the creation of innovative and immersive entertainment experiences. With a diverse portfolio of popular games and a strong presence across multiple platforms, EA is dedicated to inspiring players and fans worldwide. The company fosters a dynamic environment that values creativity, resilience, and adaptability, encouraging its teams to push the boundaries of gaming technology and storytelling. EA's commitment to excellence extends beyond game development to include comprehensive benefits, a supportive workplace culture, and opportunities for personal and professional growth. The organization operates across various locations globally, emphasizing diversity, inclusion, and a passion for delivering memorable entertainment experiences.

About The Role

We are seeking a talented and motivated Data Scientist to join our Growth Analytics team at Electronic Arts. In this role, you will work closely with media buyers and marketing teams to develop advanced models and experimental frameworks that inform and optimize our marketing strategies.

Your insights will directly influence budget allocation, campaign performance measurement, and forecasting across digital channels. You will be instrumental in building Bayesian Hierarchical Media Mix Models, designing geo-based incrementality experiments, and developing tools for strategic decision-making. Collaborating with stakeholders, translating complex data insights into actionable recommendations, and presenting findings will be key aspects of your responsibilities. This hybrid position offers flexibility with an expectation of three in-office days per week and is open to candidates located near any EA office in Canada.

Qualifications

• Master's degree in a quantitative field such as Statistics, Econometrics, or related disciplines
• 2-5 years of professional experience in data science or analytics, preferably in marketing measurement or experimentation
• Proficiency with Bayesian modeling frameworks and causal inference techniques (e.g., CausalImpact, Fixed Effect Regression)
• Strong programming skills in Python or R and SQL
• Experience designing and analyzing marketing experiments, including A/B testing and incrementality studies
• Ability to develop and implement forecasting models using tools like Prophet
• Excellent communication skills with the ability to convey technical insights to non-technical stakeholders
• Familiarity with media mix modeling (MMM) and budget optimization techniques
  
  

Responsibilities

• Build Bayesian Hierarchical Media Mix Models (MMMs) to quantify the contribution of various marketing channels
• Design and analyze geo-based incrementality experiments and user-level re-engagement tests to assess marketing impact
• Lead the development and evaluation of retargeting experiments, applying A/B testing principles to optimize campaigns
• Create and maintain budget optimization tools to support strategic marketing decisions
• Develop forecasting models to project game performance and user engagement metrics
• Translate complex model outputs into clear, actionable insights and recommendations for marketing teams
• Collaborate with media buyers and stakeholders to align modeling efforts with business objectives
• Present findings and insights effectively to both technical and non-technical audiences
  
  

Benefits

• Competitive salary range based on experience and location
• Paid time off starting at three weeks per year, with additional leave for bonding and holidays
• Comprehensive health benefits including medical, dental, and vision insurance
• Life and disability insurance coverage
• Retirement savings plans such as 401(k) for eligible employees
• Paid family leave and parental bonding time
• Opportunities for bonuses and equity participation
• Access to a range of wellness programs and employee development resources
• Flexible hybrid work environment supporting work-life balance
  
  

Equal Opportunity

Electronic Arts is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are treated with respect and dignity. Employment decisions are made without regard to race, color, national origin, ancestry, sex, 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.