Job Title:
Data Scientist

Requisition ID:
R022842

Job Description:

Your Mission

The Data Scientist will develop and operationalize machine learning (ML) models as part of our Game Science and Machine Learning initiatives, including segmentation, decision tool development, and predictive modeling.

You will also be a machine learning expert on the team, you will demonstrate your experience in steering data-driven discussions, improving internal processes, and communicating results to technical and non-technical colleagues. A trusted member of an established team of data scientists and ML engineers, passionate about ensuring player satisfaction in our games. You will accomplish this by:

Responsibilities:

  • Building scalable machine learning models to understand our players and their interactions with the game
  • Designing and maintaining scalable, efficient, production-quality DS tools to guide operations, improve efficiency, and measure performance
  • Researching and implementing novel DS approaches for new problems
  • Translating requirements from cross-disciplinary teams in Game Operations, Marketing, CRM, and Business Planning into data solutions
  • Synthesizing disparate data, identifying and working around broken data, and investigating every possibility until you have a thorough solution

Player Profile

Minimum Requirements:

  • M.S. in Mathematics, Machine Learning, Data Science, Biological Sciences, Statistics, Operations Research, Economics, or other quantitative field
  • 1+ years experience as a data scientist
  • General data science experience, i.e. regression, classification, and clustering algorithms, time-series analysis, Bayesian methods, experimentation, causal analysis, and survival analysis
  • Experience with prototype-to-production engineering in Python, including following standard processes such as source control, proper documentation, library packaging, versioning, testing, containerization, CI/CD, and task scheduling
  • Proficient with SQL; Experience with Spark a plus
  • Professional habits around model validation, testing, and tracking
  • Solid understanding of statistics, e.g. statistical power analysis, significance testing, t-tests, ANOVA
  • Engineering experience in at least one cloud platform such as AWS, GCP, or Azure
  • Experience with experimental design and A/B testing analysis

Bonus Points:

  • Ph. D. or equivalent experience with peer-reviewed publications and a consistent record of self-guided research
  • Experience applying ML solutions to time series data
  • Video game passion with a solid understanding of the gameplay mechanics in Call of Duty and Warzone
  • Experience with STAN or other Bayesian modeling software
  • Familiarity with marketing and user acquisition in the video game or entertainment industry

*We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! At Activision Blizzard, we are committed to creating a diverse and inclusive environment and strongly encourage you to apply.”

Our World

Activision Blizzard, Inc. is one of the world’s largest and most successful interactive entertainment companies and is at the intersection of media, technology and entertainment. We are home to some of the most beloved entertainment franchises including Call of Duty®, World of Warcraft®, Overwatch®, Diablo®, Candy Crush™ and Bubble Witch™. Our combined entertainment network delights hundreds of millions of monthly active users in 196 countries, making us the largest gaming network on the planet!

Our ability to build immersive and innovate worlds is only enhanced by diverse teams working in an inclusive environment. We aspire to have a culture where everyone can thrive in order to connect

Rewards

We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ – we’ve got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including:

  • Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;
  • 401(k) with Company match, tuition reimbursement, charitable donation matching;
  • Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;
  • Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;
  • If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.

Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting https://www.benefitsforeveryworld.com/.

In the U.S., the standard base pay range for this role is $71,300.00 – $131,906.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role’s range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed.

Tagged as: AB Testing, Algorithms, Aws, Azure, Business Planning, Containerization, Data Science, Design, Economics, Experimentation, Library, Machine Learning, Mathematics, Mechanics, Operations, Production Engineering, Python, Requisition, Research, Scheduling, Significance Testing, Statistics

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