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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

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Research Data Scientist

Req. Number: 36021
Location Information: Redwood City, CA

We’re EA—the world’s largest video game publisher. You’re probably familiar with many of our titles—Madden, FIFA, The Sims, Need for Speed, Dead Space, Battlefield and Star Wars, to name a few. But maybe you don’t know how we’re committed to creating games for every platform—from social to mobile to console—to give our consumers that anytime, anywhere access they demand. What does that mean for you? It means more opportunities to unleash your creative genius, be inspired by those around you and ignite your path in any direction you choose.

DESCRIPTION:

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.

We are looking for a Machine Learning Scientist to work in the EA Digital Platform Data Group.

Major responsibilities


• 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.

Qualifications


• 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

*LI-NP1

It’s not easy building the world’s best digital playground. It’s hair-standing-on-end exhilarating. It’s down-in-the-trenches challenging. It’s stroke-of-brilliance-at-midnight creative. It’s you—taking risks, challenging yourself, pursuing ideas, changing the way millions of people do something they love: play. In an industry that’s changing every day, EA is positioned for growth thanks to smart business plans, strategic acquisitions, and most importantly, our creative people around the world who gather each day to unite the world through play. We take that last part very seriously, so if what you’re reading excites you as much as it does us, apply today.


Job ID: 36021
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Meet Us
Allison KaneKirby, Software Engineer

Allison, Development Director

Allison began her career in Vancouver’s entertainment industry in 1995, wearing several hats over the years ranging from Production Coordinator to Marketing and Sales Manager in various Canadian film production companies. In 2007 she entered the world of game development working on Need for Speed ProStreet with the Environments team. Later, managing the Audio team for Need for Speed Undercover, she became a career manager for Need for Speed artists. In February of 2009 she was hired as a project manager for the central Core Technology team within the EA SPORTS label. In 2011 she transitioned into Audioworks, EA SPORTS’ central audio group, where she is currently a Development Director.

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