Senior Machine Learning Data Scientist

Bungie

. Support Bungie's product security initiatives and reduce the impact of bad actors in Bungie games .

Posted 9/22/2026full-timeRemote • Washington • United StatesSenior💰 $165,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, developing, and deploying end-to-end machine learning solutions in cloud environments, with a strong focus on model evaluation and integration into game development pipelines. Proficient in SQL and advanced machine learning algorithms, with effective communication skills for collaborating with diverse teams.

Highest-signal resume keywords

Machine Learning Solution DevelopmentCloud-Based Infrastructure ManagementSQL ProficiencyAdvanced Machine Learning AlgorithmsData Pipeline Transformation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel EvaluationData TransformationStatistical ModelingDeep LearningRegressionClusteringDecision TreesTransformer ArchitecturesSimulation

Soft Skills

Effective CommunicationCollaboration

Tools & Technologies

GCPAirflowPyTorchPandasPythonTerraformOpenTofuCI/CDGitHubDocker

Industry Keywords

Product SecurityGame DevelopmentFraud DetectionImbalanced Datasets

Tech Stack

Tools & technologies

AirflowCloudDockerGoogle Cloud PlatformPandasPythonPyTorchSQLTerraform

About the role

Key responsibilities & impact

Support Bungie's product security initiatives and reduce the impact of bad actors in Bungie games
Work with organizational partners to gather requirements, design project plans, determine approaches, and define success criteria for machine learning solutions
Design, develop, deploy, and maintain end-to-end machine learning solutions 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 for modeling and analytical capabilities
Communicate analysis results to technical and non-technical colleagues
Own solution implementation and evaluation end-to-end

Requirements

What you’ll need

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

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Matching 401(k)
Paid time off
Wellness program
Employee discounts for Sony products
May be eligible for a bonus package