Senior Data Scientist - Madden

Senior Data Scientist

Location: Orlando, FL, USA

We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.

Data-driven decision-making is essential to game development at EA. We're looking for a thoughtful and disciplined leader 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 and the latest technology on live services and in-game features specifically for Madden that will lead to a unique opportunity to affect the game played by millions of players. You're passionate about elevating insights to be actionable across projects, and accelerating learning through data-driven testing. This opportunity is based in Orlando, and you can adopt a flexible hybrid working style.

What you'll do:

• Work directly with the Madden game team/partners (internal clients) to understand their offerings/domain and create data science products and solutions to solve for their use cases.
• Assist our team's lead of Live Services with generalizing products across titles.
• Work on team projects within your pillar (live service), proposing methodology and guiding the direction of each project.
• Ensure high-quality methodology and experimental design and how experiments can produce actionable, trustworthy conclusions.
• Effectively communicate data science projects and products to stakeholders, including those non-data science backgrounds/knowledge.
• 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.
• Leverage your statistical and computational knowledge to build algorithms for calculating variances, state predictions, and find trends.
• Assist game teams and data teams in making key business 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.