Electronic Arts

Data-driven decision-making is essential to game development at EA. We're looking for a thoughtful and disciplined Data Scientist with deep statistical modeling experience, strong data engineering experience and a passion for games and digital technologies. The biggest and single most important aspect that we look for in aspiring colleagues is people who enjoy the joy of discovery.

You will report to a senior data science manager within EA's central Data and Analytics (DnA) organization. You will work with top data science talent to build live services features like recommendations, matchmaking, and personalization across all EA titles that will lead to a unique opportunity to affect the games played by millions of players. You're passionate about elevating insights to be actionable across projects, and accelerating learning through data-driven testing.

What you'll do:

• Work directly with the game teams/partners (internal clients) to understand their offerings/domain and create data science products and solutions to solve for their live service use cases.
• Assist our team leads across Live Services: Recommendations/Matchmaking/Personalization with generalizing products across titles.
• Work on team projects within your pillar (live service), proposing methodology and guiding the direction of each project.
• Ensure sound methodology and experimental design, and guide the direction of each project from start to finish.
• Effectively communicate data science projects and products to stakeholders, including those with non-data science backgrounds.
• Design, improve and work with our data pipeline that transfers and processes petabytes of data using S3, Kubernetes, Sagemaker, GCP, Python, Apache Kafka, & Hive.
• Use data manipulation, processing, and data visualizations to aid in your modeling efforts.
• Assist game teams and data teams in making important decisions.
• Mentor and coach junior team members.

You Have:

• 4+ years of professional experience manipulating data sets, building statistical models, and productizing models along with experience applying Data Science methodologies to real-world problems.
• Ph.D./Master's in Statistics, Mathematics, Computer Science, or another quantitative field encouraged.
• Experience working on a mix of recommendation, personalization, matchmaking, and forecast modeling.
• Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.
• Superior verbal, visual, and written communication skills to educate and work with cross-functional teams.
• Experience using Python, SQL, PyTorch/TensorFlow, Hive/Hadoop, and AWS/GCP.
• Role benefits from experience in gaming.