About the Company: Electronic Arts Inc. is a global leader in interactive entertainment. We develop games, content and online services across platforms. We have a broad portfolio of brands that span the most popular genres.We exist to Inspire the World to Play. We create extraordinary new game experiences for our millions of players everywhere by bringing together experienced people that combine creativity, innovation, and passion. We celebrate diversity and inclusion and aim to create great experiences for our employees as often as our players.

Key Responsibilities: •  Perform data exploration, mining, and feature engineering to create high-quality datasets for model development. •  Apply machine learning and statistical modeling techniques to build predictive and prescriptive models that generate actionable business insights. •  Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes. •  Analyze complex datasets to identify patterns, trends, and opportunities that drive data-informed business decisions. •  Build, train, validate, and deploy scalable machine learning models, ensuring optimal accuracy and performance. •  Implement MLOps best practices for model deployment, versioning, monitoring, and retraining across production environments. •  Utilize Python, SQL, and distributed data processing frameworks such as Spark, Snowflake, or Databricks to handle large-scale data workflows. •  Collaborate closely with cross-functional teams (Engineering, Product, and Business) to align models and insights with strategic goals. •  Evaluate and integrate cutting-edge AI/ML research, staying abreast of advancements in deep learning, transformers, and LLMs.