EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sports through industry-leading sports video games, including Madden NFL football, FIFA Soccer , NHL® hockey, NBA LIVE basketball, and EA SPORTS UFC .

Millions of EA SPORTS players generate billions of events every day. We use high-volume data streams to quickly detect and address game security threats. The Game Security Data Scientist uses big data, machine learning, and visualization techniques to explore and implement improvements to the security of the EA SPORTS player experience.

You will be at the crossroad of several hot areas: Data Science and Engineering, Security, and Software Development. You don’t need to have experience in all the four areas but we are looking for someone who can demonstrate a solid background and grow in other areas. You adopt a security mindset to predict the adversaries’ moves. You can use multiple statistical and machine learning methods to detect anomalies and fraudulent behavior.

Responsibilities

Collaborate with team members across multiple disciplines to understand the data behind game features, user behaviors, the security landscape, and business goals.
Analyze data from several large sources, then automate solutions using scheduled processes, models, and alerts.
Work with partners to design and improve metrics that guide our decisions by summarizing the state of game security.
Detect patterns associated with fraudulent accounts and anomalous behavior.
Solve scientific problems and create new methods independently.
Translate requirements and security questions into data insights.
Set up monitoring and alerting mechanisms so our leadership is always aware of the security posture.

Qualifications

Depending on the your skill, experience, and interest:

Post Graduate degree in Computer Science, Mathematics, or Electrical Engineering with specialization in machine learning, information security, artificial intelligence, decision support/making or other related fields.
Experience with SQL and no-SQL databases.
4+ years of applied machine learning and analytics experience and familiarity with standard techniques, relevant tools and libraries.
Familiarity with programming languages such as Python, R, Java, or C/C++.
Use Bayesian models and Social network analysis (SNA) tools to develop entity behavior analytics that demonstrate a holistic view of the bad activities.

Preferred Experience

Familiarity with Big Data tools such as Hadoop, Spark, or Splunk.
Experience with cloud platforms such as AWS, GCD, or Azure.
Exposure to Security in areas such as network/software security and an understanding of security data, attack vectors, and more.
Experience with Visualization tools and libraries such as Tableau, Looker, or Matplotlib.
Software development or Data engineering experience.
Experience reviewing technical documents to advise on telemetry requirements.

About EA

At Electronic Arts, we exist to Inspire the World to Play. We create extraordinary new game experiences for our millions of players everywhere by bringing together talented people that combine creativity, innovation, and passion. We know that our strength lies in the diversity of our people. We immerse our employees into an inclusive culture, and provide opportunities for learning and leading that allow them to do the most impactful and rewarding work of their careers. We put our people first. We provide comprehensive benefit packages with a focus on health and wellbeing to support your needs and help you balance your career and personal life. We provide access to dynamic and collaborative work environments, opportunities to connect and contribute through our Employee Resource Groups, and support for a balanced life with paid time off and maternity and paternity leave, plus free video games and so much more! Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. Electronic Arts also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.