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Data Science Internship

Blizzard Entertainment
Irvine California 92618 United States of America
2 years ago
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Team Name:

Job Title:

Data Science Internship

Requisition ID:

R009238

Job Description:

DATA SCIENCE INTERN – GLOBAL INSIGHTS

Greetings, students! We’re geared up to offer another round of epic internship experiences in summer 202 2 . The internship program offers the opportunity to pause your studies for one summer and work side-by-side with Blizzard Entertainment employees in your area of interest, doing real work that oftentimes ends up in production. As such, we hold you to the same high standards as anybody else in the company.

Just like our gameplay experiences, Blizzard internships are a fully immersive experience. We want interns who are enthusiastic about what they want to do for a living and excited to come in every day to learn and contribute in this hyper-creative atmosphere. Being fully engaged with our team also means communicating effectively and maintaining an open mind - one that is receptive to feedback and able to adapt and grow. Your hobbies and interests can also play in your favor. Passion for technology, gaming, game development, and an in-depth knowledge of Blizzard games, products, and services will always be a plus with us, regardless of the position you’re applying for. Be passionate about who you are, be into our industry, and be willing to go all-in and embrace this opportunity to the fullest!

QUEST OBJECTIVES

We’re seeking post-graduate students to help us build data-powered products and services for Blizzard ! Interns will work closely with the central data science team at Blizzard and share their results w ith game and product teams. Intern projects are tailored to candidate ’s strengths and fit to ongoing opportunities across game teams and Blizzard-wide services.

What’s life like as a data scientist and what can you expect? We are a team of six data scientists supporting game teams, both live games like Hearthstone, Overwatch, Diablo , WoW and unannounced game teams. Some of our projects are focused on research to help game development directly, like procedural content generation and reinforcement learning for AI. Other projects are all about bringing value to Blizzard players and business through areas like prediction, experimentation, and recommenders. We regularly integrate our models directly into the games or through live services that software engineers in our department build. The ultimate goal is to help our devs build the most epic experiences for our players, and we believe that data science , machine learning and AI can bring a lot of exciting new things to that development.

This position is a unique opportunity to work closely with game and product teams (designers, engineers, and analysts) to take your data science knowledg e and turn it into products or services that directly impact the games you love!

ELIGIBILITIES REQUIREMENTS

  • Currently enrolled in a college or university, or planning to enroll in Fall 202 1
  • Returning for at least one more semester or quarter following the Summer 202 2 internship
  • Able to work fulltime hours for 11 – 12 weeks at the Blizzard office indicated in this job posting between May 202 2 – August 202 2 or June 202 2 – September 202 2 (group dates depend on when you get out of school)
  • Authorized to work in the US

LEVEL REQUIREMENTS

  • Pursuing a PhD in computer science, statistics, math, computer vision, graphics, or related quantitative fields ( e.g. economics, physics, psychology)
  • Experience building and evaluating machine learning or statistical models
  • Familiar with Python and commonly used data science packages.
  • Strong written and spoken communication skills

RECOMMENDED TALENTS

  • 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
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