Senior Data Scientist – Machine Learning (Social)

Bungie is seeking a Senior Data Scientist to join our newly formed Machine Learning team.  Reporting to the Director of Machine Learning, you will scope, prototype, and deploy machine learning models that will support social initiatives across our organization.  In this role, you will directly support Bungie social teams by building knowledge graphs in order to extract insights that drive the future of co-experience in our games.

As part of the Bungie Analytics & Insights team, you will join a diverse team of analysts, data scientists, data engineers, and researchers.  You will leverage your expertise in data analysis, data science, and engineering to build machine learning services for our games and create internal tools that empower Bungie teams to continue doing what they do best. Most importantly, your work will be essential to creating unmatched entertainment experiences designed to inspire friendships and lifelong memories.

RESPONSIBILITIES

• Work with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria for machine learning solutions
• Develop, deploy, and maintain machine learning services end-to-end in a cloud environment
• Transform raw data and build efficient pipelines to support modeling and analytical capabilities within our team
• Communicate the results of your analyses to both technical and non-technical colleagues

REQUIRED SKILLS

• Experience working within cloud-based infrastructure to build, deploy, and manage models at scale in a live service environment
• Advanced proficiency in Python and SQL
• Advanced knowledge of machine learning frameworks such as scikit-learn, PyTorch, and Tensorflow
• Experience creating and using advanced machine learning algorithms and statistical models: regression, simulation, scenario analysis, clustering, decision trees, neural networks, etc.
• Effective at data visualization and storytelling geared towards both technical and non-technical audiences
• Familiarity with graph data science algorithms and graph databases (Neo4j, AWS Neptune)

NICE-TO-HAVE SKILLS

• Advanced degree in Computer Science, Statistics, Machine Learning, or a related field
• Experience working within a variety of different technical environments
• Experience with Tableau or similar data visualization tool
• A love of games