This job listing expired on Sep 10, 2022
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The Data Scientist will develop and operationalize machine learning (ML) models as part of our game feature optimization initiatives, which include personalizing the player experience and optimizing analytically driven in-game systems. You will be responsible for:

  • Building scalable recommendation and personalization models to create catered experiences for our Call of Duty and War Zone player bases

  • Researching and implementing novel ML approaches for new problems

  • Translating requirements from cross-disciplinary teams in Game Operations, Marketing, Game Studios, CRM, and Business Planning into data solutions

  • Synthesizing disparate data, detecting and working around broken data, and investigating every possibility until you have a thorough solution

  • Surfacing and communicating results to technical and non-technical colleagues by generating dashboards and reports

As a machine learning expert on the team, you will leverage your experience to steer data-driven discussions, improve internal processes, and communicate results to technical and non-technical colleagues. You will be a trusted member of an established team of data scientists and machine learning engineers, focused on ensuring player satisfaction in our games. You will accomplish this by:

  • Being a tenacious and self-catalyzing problem solver.

  • Driving towards visibility, accountability, and communication.

  • Being team-oriented, and able to build long-lasting and collaborative relationships effectively.

  • Respectfully contributing your professional experience in every conversation.

  • Listening with openness to others.

  • Adapting quickly, having a high tolerance for ambiguity, and coordinating effectively on a team.

  • Evangelizing ethical ML by being thoughtful about identifying, testing for, and reducing biases in models.

Player Profile

Minimum Requirements:

  • M.S. in Mathematics, Machine Learning, Data Science, Statistics, Operations Research, Economics, or other quantitative field.

  • 2+ years experience as a data scientist. Senior level depends on additional experience.

  • General machine learning expertise, i.e. regression, classification, and clustering algorithms, time-series analysis, Bayesian methods, and survival analysis.

  • Prototype-to-production engineering skills in Python, including best practices such as source control, proper documentation, library packaging, versioning, testing, containerization, CI/CD, and task scheduling.

  • Advanced SQL and Spark skills.

  • 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.

Bonus Points:

  • Ph.D. with peer-reviewed publications and a proven track record of self-guided research.

  • Experience with recommender systems and/or reinforcement learning.

  • Video game enthusiasm with a solid understanding of the gameplay mechanics in Call of Duty and Warzone.

  • Exposure to stream processing infrastructure such as Kafka and Spark Streaming.

  • Hardware-level knowledge (C++, memory management, GPU rendering).