Senior Machine Learning Data Scientist

Posted An Hour Ago
Hiring Remotely in United States
Remote
165K-185K Annually
Senior level
Gaming
The Role
Develop and deploy end-to-end machine learning solutions supporting Bungie’s product security initiatives. Responsibilities include building models and data pipelines, integrating ML into game development workflows, monitoring model performance, conducting analysis, and communicating findings across technical and non-technical teams. The role focuses on detecting threats and bad actors in a live-service gaming environment using cloud infrastructure, advanced machine learning, and statistical modeling.
Summary Generated by Built In

Bungie is seeking a Senior Data Scientist to join our Product Security Team.  In this role, you will directly support Bungie’s product security initiatives, working closely with analysts and engineers to reduce the impact of bad actors in Bungie games.  


At Bungie, we build worlds that inspire friendships.  Protecting players in a rapidly changing threat landscape requires machine learning automation, data driven discovery, and careful analysis of a dynamic online global ecosystem.  You will leverage your experience in data analysis, data science, and engineering to build security services that protect Bungie players and track emerging threats.  Most importantly, your work will be essential to developing unmatched entertainment experiences that 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.  
  • 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 

REQUIRED SKILLS 

  • 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. 

NICE-TO-HAVE 

  • 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 

At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.

Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. 

In addition, this role
is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.


The estimated base pay range for this role is listed below.
$165,000$185,000 USD

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Skills Required

  • Experience using cloud-based infrastructure to design, deploy, and manage machine learning models.
  • Proficiency with SQL at scale in a live-service environment.
  • Expertise developing, evaluating, applying, and deploying advanced machine learning algorithms and statistical models.
  • Experience with data science and machine learning workflows in cloud environments, including training, evaluation, and deployment.
  • Effective collaboration and communication across departments and disciplines.
  • Experience with GCP and Airflow.
  • Experience with PyTorch, Pandas, and Python.
  • Experience with Infrastructure as Code using Terraform or OpenTofu.
  • Experience with software engineering workflows, CI/CD, and GitHub.
  • Experience with Docker or containerization.
  • Familiarity with LLM or agentic workflows.
  • Security or game development experience.
  • Experience with fraud detection and heavily imbalanced datasets.

Bungie Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bungie and has not been reviewed or approved by Bungie.

  • Healthcare Strength The careers site lists medical, dental, and vision coverage for employees and families, with strong Washington‑state options noted. Listings present comprehensive health coverage alongside other core benefits.
  • Leave & Time Off Breadth The company highlights PTO, company holidays, and float days, along with paid parental leave. Backup childcare is also offered to support time away needs.
  • Retirement Support Careers materials call out 401(k) matching with no vesting, with postings noting eligibility for Sony Interactive Entertainment’s matching program. Retirement matching appears as a consistent element of the package.

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The Company
HQ: Bellevue, WA
1,371 Employees
Year Founded: 1991

What We Do

Bungie is an independent, employee-owned game development studio dedicated to creating hopeful worlds that inspire passionate player communities and lifelong friendships. For nearly thirty years that purpose has led to the creation of some of the industry's most celebrated gaming franchises, including Marathon, Myth, Halo, and Destiny. Today, Bungie is focused on developing the next highly-anticipated release in the Destiny universe and new worlds to come.

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