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Electronic Arts Inc.

Research Data Scientist

Electronic Arts Inc. - Redwood City, CA

Job Description:

Job Title: Research Data Scientist

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 a Research Data Scientist does at EA:

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.

The next great Data Scientist should also have:

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 benefits packages, tuition reimbursement, 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.

Don’t Just Play It – Create It!

Apply Now

Job Title: Research Data Scientist

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 a Research Data Scientist does at EA: 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.

The next great Data Scientist should also have: 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 benefits packages, tuition reimbursement, 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.

Don’t Just Play It – Create It!

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26 days 4 hours ago

Electronic Arts Inc.

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Please review all application instructions before applying.

Location: Redwood City, CA

Company Profile:
It's not easy building the world's best digital playground. It's hair-standing-up-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.