Data Scientist, Ricochet Anti-Cheat (Call of Duty)

Job Title: Data Scientist, Ricochet Anti-Cheat (Call of Duty) Requisition ID: R028031 Job Description:

Call of Duty is one of the most iconic and successful video game franchises in the world, delivering unforgettable experiences to millions of players every day. At the heart of that experience is fair play , and that is where the Ricochet Anti-Cheat team comes in. Our mission is to protect the integrity of the online experience, ensuring every player enjoys a level playing field. As a Data Scientist on Ricochet, you will analyze, investigate, and translate complex data into insights that help detect, prevent, and respond to cheating across Call of Duty live titles.

We are seeking a Data Scientist to help secure the Call of Duty franchise by producing structured insights, experiments, and analyses that improve Ricochet anti-cheat outcomes at scale. In this role, you will partner with anti-cheat engineers, analysts, operations specialists, game designers, and producers to answer ambiguous questions, evaluate detections, measure model impact, and identify new opportunities for anti-cheat initiatives. You will support the broader Ricochet organization through consultation, data analysis, data engineering, experimentation, dashboards, and executive-level reporting. This role is ideal for someone who combines strong statistical and data science fundamentals with curiosity about adversarial player behavior, a passion for competitive integrity, and the communication skills to make complex findings actionable for technical and non-technical partners. What you bring to the table Analyze gameplay telemetry, enforcement data, behavioral signals, and other large-scale datasets to investigate cheating patterns and anti-cheat outcomes. Collaborate on the ETL, data analysis, and measurement strategy for machine-learning projects that enhance detection, prevention, and response to cheating. Design and execute experiments and analyses that measure the impact of models, detections, interventions, and enforcement workflows on players and the business. Answer ambiguous questions with practical, evidence-based recommendations that help Ricochet prioritize anti-cheat initiatives. Produce dashboards, recurring reports, and executive-level summaries that clearly communicate results, trends, impediments, and impact. Partner with game designers, engineers, producers, analysts, and operations teams to identify new opportunities for anti-cheat improvements. Support validation of new anti-cheat detections and model changes before broader deployment, with attention to effectiveness and false-positive risk. Help improve the quality, consistency, and transparency of anti-cheat data pipelines, metrics, analysis standards, and reporting practices. Stay current on advances in anti-cheat technology, statistical analysis, experimentation, data science, and adversarial behavior analysis. Learn from senior team members, share knowledge with peers, and contribute to a culture of fairness, accountability, and continuous improvement in game security. Player Profile Minimum requirements:

3+ years of experience using data science to solve real-world problems with measurable impact on users and the business. Experience working with large data volumes for production, analytics, experimentation, or reporting purposes. Working knowledge of experimentation methods, impact measurement, statistical analysis, and metrics development. Experience building or maintaining dashboards, reports, and repeatable analytical workflows for stakeholders. Knowledge & Skills   Master's degree or equivalent work experience in Data Science, Computer Science, Data Analysis, Statistics, or a related field. Competence with Python, SQL, and PySpark for data analysis, data engineering, and production-scale workflows. Strong understanding of data analysis, statistics, experimentation, measurement design, and practical model evaluation. Familiarity with