At EA, we thrive on outrageous thinking. It's the fuel that inspires the best games in the world. We're a community of artists, storytellers, technologists and innovators working in one of the most dynamic industries around.

Our creative work environment rewards new and different ideas. It's an environment that attracts brilliant talent from around the globe. No matter which of our studio locations you join, you'll feel the energy and support of EA's global brand, while thriving on our world-class campuses. At EA, the excitement you feel throughout each workday is made possible by a culture that inspires you to do the best work of your career.

For 30 years, we've been building a company where amazing minds thrive. We take risks and we dream big. And together, we are changing the way millions play every day.

Job Description

Apply Now

Research Data Scientist

Req. Number: 59696
Location Information: Redwood City, CA

We are EA

And we make games – how cool is that? In fact, we entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. But making games is hard work. That’s why we employ the most creative, passionate people in the industry.

The Challenge Ahead

The EA Digital Platform Data Group is responsible for developing a new unified Big Data pipeline across all franchises at Electronic Arts. This platform will incorporate data collection, ingestion, processing, access and visualization all built on a modern, cloud based tech stack with best-in-class tools. The Data Group will provide the tools and platform which powers the future state of game development, marketing, sales, accounting and customer experience.

What does Research Scientist at EA does

• Use machine learning techniques to create scalable solutions for business problems in the gaming domain
• Analyze and extract key insights from EA’s rich store of gamer and gameplay data
• Design, development and evaluation of highly innovative models for predictive learning for applications like recommendations and targeting.
• Work closely with the core development teams to deploy models seamlessly as part of production systems
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Research and implement novel machine learning algorithms for new business problems.

Our next Research Data Scientist at EA should have

• PhD. in Computer Science with a focus on machine learning
• Track record of having developed novel machine learning algorithms, SIGKDD/ICML/NIPS publications a plus
• Hands-on experience in predictive modeling and analysis over large volumes of data
• Strong Problem solving ability
• Strong Programming skills in C/C++ or Java
• Experience with large scale distributed programming paradigms – experience with the Hadoop stack(HDFS/MR/Pig/Hive) a plus
• Experience with R/SAS/SPSS
• Experience with SQL and MPP databases.
• Excellent written and verbal communication and skills

What’s in it for you? Glad you asked!

We love to brag about our great perks like comprehensive health and benefit packages, tuition reimbursement, and 401k with company match and, of course, free video games. And since we realize it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off of creativity and individuality. At EA, we live the “work hard/play hard” credo every day.


Job ID: 59696
Apply Now
Meet Us
Kirby, Software EngineerFredd, Software Engineer

Kirby, Software Engineer

Life at EA is energizing and dynamic. The intense workload and challenging projects are incredibly engaging. Being on a team with a lot of smart, hardworking people can be intimidating at first, but it’s an invaluable experience. Working on huge titles like Battlefield and FIFA is incredibly challenging, both technically and organizationally. Kirby has learned how to manage change within an organization this large and develop much stronger soft skills than he ever expected.

Find Us On:

Welcome Back!

Forgot Password?