It takes a Blizzard to make a Blizzard game, and that level of effort doesn’t end once the game is released; we support our games for years after they’re in the hands of gamers world-wide. Global Insights works closely with the game development, business and internal service teams at Blizzard to produce insights and models that enable us to make the most epic player experiences. The machine learning & AI (Artificial Intelligence) group within Global Insights focuses on applying the latest in key research areas to build lasting data products and tools for our game and business teams.

We are looking for an Associate Data Scientist who has experience in Machine Learning and Artificial Intelligence to join our Global Insights team. Blizzard data scientists design and deploy data-powered products and services that scale to the terabytes of data that Blizzard games generate every day. The ideal candidate is passionate about applying machine learning, artificial intelligence and statistics to real-world problems; has experience in implementing machine learning algorithms with strong programming skill.

Responsibilities

• Develop machine learning solutions to enhance business and gameplay objectives.
• Communicate about machine learning models and products to both technical and non-technical audiences.

Minimum Qualifications

• Experience with machine learning, artificial intelligence, computer vision/graphics, statistics, applied math, algorithm design, or a related quantitative field.
• Familiar with Python and commonly used data science packages.

Preferred Qualifications

• Experience with one other higher-level programming languages like Java, C++, C#, Scala, etc.
• Experience with one of the following areas: predictive modeling, recommendation system, reinforcement learning, computer vision/graphics, procedural content generation, anomaly detection and natural language processing.
• Experience with cloud computing services like AWS (Amazon Web Service), Azure or Google Cloud.
• Experience with SQL or NoSQL databases.
• Experience with data visualization tools like Tableau.
• Experience with video games