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Summer 2020: Data Scientist Intern

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

Our games are played everywhere in the world and on any kind of gaming device (PC, web, console, mobile, smart TV’s) and support a wide range of business models (digital downloads, premium content, free to play, subscriptions).

We are looking for a Data Scientist Intern to work in the Fraud & Player Security team that manages fraud and account security for EA. Your primary focus will be to analyze the behavior of our user accounts and customers, identify fraud trends and high-risk transactions, take statistical or machine learning techniques when designing algorithms, models and heuristics rules to prevent fraudulent payments and losses, and work with Engineering to implement, test, monitor and improve the performance of the product.

Responsibilities:

• Aggregate and analyze large and complex data sets to identify behavior trends using statistics, data mining, and machine learning techniques.
• Develop algorithms, models and heuristics to identify fraudulent transactions and account creation, account compromises, account login and other high-risk activities
• Research predictive modeling techniques and assist in developing business cases for new technologies needed to support fraud detection
• Build prototype tools for investigating fraud events/behavior and analyzing system-wide trends
• Rapidly respond to operational needs by providing ad hoc analytical support

Requirements:

• Able to multi-task and thrive in a dynamic, fast-paced environment
• Strong problem solving skills and ability to collaborate within a team environment
• Results-driven and highly quantitative
• True passion for understanding customer behavior on-platform and in-game
• Strong interpersonal and communication skills

Skills and Experience:

• Masters degree required in a quantitative discipline (i.e. Statistics, Computer Science, Mathematics, Operations Research, Economics, Industrial Engineering)
• We are only considering students who will be enrolled in a bachelors or masters program in the summer of 2020, slated to graduate in fall of 2020 or spring of 2021.
• Knowledge of at least one modeling framework (e.g., Scikit-Learn, TensorFlow, PyTorch, MLlib)
• Strong analytical skills with the ability to interpret and manipulate large structured and unstructured data, develop recommendations and analysis
• Experience managing and implementing advanced analytics projects which solve complex analytical problems using machine learning, pattern recognition, and/or data mining technologies
• Familiar with Hadoop, Apache Spark framework, SQL/NoSQL
• Proficiency in Python or R
• Ability to communicate insights to technical and non-technical audiences