Requisition Number: 150574
Position Title: Data Scientist I
Here in EA's Data Science group within Global Analytics and Insights, we're always looking for new members to help expand our horizon, to move our communal thought process. Responsible for everything from recommendations and personalization to evaluating the impact of marketing investments, our group exists to push boundaries, whether they are developing cutting edge statistical models and machine learning algorithms for marketing valuation or creating the latest and greatest recommendation systems to ensure that every player journey is truly their own.
This is a team that's as likely to collaborate with game designers and producers as they are data engineers, so versatility, persistence, entrepreneurship, and passion are keys to becoming a successful contributor. We exist in a world where tasks and measures aren't easily defined by product managers or scrums and where a project's cadence can have defined deadlines or be as vague as knowing a game's possible launch date years in the future, so our data scientists and machine learning engineers must have strong organizational skills. The biggest and single most important aspect that we look for in aspiring colleagues is intellectual curiosity, people who love the joy of discovery, in ending the day knowing a little bit more than when they woke up.
Team-members manage projects in a collaborative, group environment, giving every person an opportunity to lead, and the projects themselves are owned from conception to design, through development and all the way into implementation. Our scope of work ranges from NLP to Recommendation Engines, Statistical Theory to AI, and the variety of responsibilities for our colleagues is equally dynamic: one colleague may bias more towards research, staying in the abstract, while another may prefer to get their hands dirty, building optimization systems directly into game-clients.
We look for PhDs (minimum masters degree) in fields such as computer science, mathematics and the hard sciences, or quantitatively based degrees in social fields, such as quant marketing, sociology, and economics. To be effective, members must have experience interacting with big data stores, wrangling complex data sets, and setting up data processing workflows. All candidates must be accomplished in a modern open source data science languages such as R or Python, while machine learning engineer oriented candidates must also have strong experience in system languages such as Java or C++. More data science-oriented candidates are expected to have good understandings of statistical theory, distributions, experimental design, multivariable calculus, linear algebra, and how computational algorithms work. Titles are dependent on the applicant; we look for team-members with all levels of experience.
Gaming is changing. Over the next few years, that change is going to accelerate and without the proper knowledge and toolsets, many developers will struggle to keep up with it. Our job on this team is to ensure that we not only keep pace but become the drivers of that evolution, to help EA lead into the future. We are excited to be a part of this and hope you will be, too.
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, 401k company match and, of course, many other perks! 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.
More about our location: https://www.ea.com/careers/careers-overview/redwood-shores
About Electronic Arts
Electronic Arts is a company that develops, markets, publishes, and distributes games, content, and services for game consoles, personal computers, mobile phones, and tablets.