Senior Data Scientist

The Office of the CXO drives effectiveness across the EA Experiences organization with a focus on excellence in business operations, comprehensive fan intelligence, plus internal technology and business solutions. We are horizontal connectors empowering teams across the Experiences organization with the strategic prioritization, investments, resources, data, insights, and technology required to accelerate business outcomes in service of our goals.

And we want you to join us. We are hiring a Senior Data Scientist for our CXO Data & Analytics team, reporting to the Marketing Data Science Senior Manager. This is an individual contributor role with no managerial responsibilities.

Main Responsibilities:

• Develop predictive models and ML algorithms for campaign planning, optimization, and impact measurement.

• Design, execute, and analyze controlled experiments and use causal inference to quantify the business impact of interventions and offers.

• Cross-functional collaboration with Analytics, Brand, and Fan Care teams to gather requirements and develop data-driven solutions that align with business objectives.

• Enable data-driven decision-making using data storytelling and effective communication to present findings to stakeholders with a diverse background.

• Write clean and production-ready Python or R code. Use SQL to develop ETL processes to gather and aggregate data across different databases.

• Model deployment in a production environment (AWS SageMaker) with continuous monitoring, retraining, and redeployment of models.

Required Qualifications:

• PhD or Master's degree in quantitative or engineering.

• 5 years of relevant work experience in the industrial domain with demonstrated expertise in applying data science, statistical modeling, and machine learning in Marketing.

• Proficiency in writing clean and professional code in Python and R for data analysis, modeling, and visualization. Hands-on skill in SQL is required.

• Demonstrate advanced machine learning skills, such as feature stores and feature selection, and have experience developing and deploying ML models in cloud-based production environments.

• Excellent data storytelling and the ability to communicate highly technical concepts to a diverse audience verbally and in writing.

• Critical thinking and the eagerness to suggest creative ways to overcome problems with a player-centric mindset while ensuring fairness and inclusivity of the solutions.

• Experience with cloud-based machine learning environments such as AWS SageMaker.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, 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. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.