Senior Machine Learning Data Scientist

USA-WA-Telecommutefull timeRemote

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senior

$165k–$185k

H1B: yes

Bungie The Senior Machine Learning Data Scientist at Bungie supports product security initiatives by designing, developing, and deploying machine learning solutions in a cloud environment. The role involves building data pipelines, integrating models into game development, and communicating results across teams.

Responsibilities

Work with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria for machine learning solutions.
Design, develop, deploy, and maintain machine learning solutions end-to-end in a cloud environment.
Implement and maintain model evaluation, monitoring, and observability.
Build integrations for machine learning models into game development pipelines.
Transform raw data and build efficient data pipelines to support modeling and analytical capabilities within our team.
Communicate the results of your analyses to both technical and non-technical colleagues.
Own solutions implementation & evaluation end-to-end

Qualification

Expertise in developingExperience with GCP and AirflowExperience with Docker/containerization

Required

Ability to utilize cloud-based infrastructure to design, deploy, and manage models while using SQL at scale within a live service environment.
Expertise in developing, evaluating, applying, and deploying advanced machine learning algorithms and statistical models, including transformer architectures, deep learning, regression, simulation, scenario analysis, clustering, decision trees, and more.
Experience with data science & ML workflows within cloud environments (training, evaluation, deployment).
Effective collaboration and communication skills, enabling seamless teamwork across departments and disciplines.
Experience with GCP and Airflow
Experience with PyTorch / Pandas / Python
Experience with Infrastructure as Code (Terraform / OpenTofu)
Experience with Software Engineering workflows (CI/CD, GitHub)
Experience with Docker/containerization
Familiarity with LLM / Agentic workflows
Security and/or game development experience
Experience with fraud detection & heavily imbalanced datasets