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  "job_description": "At Rockstar Games, we create world-class entertainment experiences.\n\nBecome part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.\n\nRockstar is on the lookout for an experienced Data Scientist to join our Analytics team to scale our Game Security and Trust & Safety capabilities. In this role, y ou'll develop sophisticated detection systems, establish community safety metrics, and leverage advanced analytics to protect our player communities through data visualization, anomaly detection, supervised learning, and community health measurement.\n\nThis is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England.\nWHAT WE DO\n\nPartner with Trust & Safety and Game Security teams to conduct high-impact projects that shape player safety policies, inform strategy, and ensure regulatory compliance (GDPR, DSA, OSA). Develop detection systems, advanced analytics models (graph analytics, NLP), and scalable machine learning applications protecting millions of players.\nRESPONSIBILITIES\n• Drive complex investigations and data-driven strategies addressing cheating, griefing, toxicity, and harassment at scale.\n• Develop and automate detection solutions for cheats, exploits, and violations with Game Security team.\n• Serve as subject matter expert on Trust & Safety metrics, regulatory compliance, and transparency reporting.\n• Design sophisticated detection systems balancing player safety with user experience using rule-based and ML approaches.\n• Translate complex analytical findings into actionable insights for technical and non-technical audiences, including executives.\n• Establish and monitor Trust & Safety and Anti-Cheat KPIs with dashboards enabling data-driven decisions.\n• Mentor junior team members and advance analytical best practices.\nREQUIREMENTS\n• Bachelor's in STEM field (Computer Science, Data Science, Statistics, Mathematics); advanced degree preferred.\n• 5+ years in data science/analytics with expertise in Security, Anti-Cheat, Trust & Safety, or related domains.\n• Strong SQL proficiency with large-scale databases.\n• Advanced Python, PySpark, and data science tools (numpy, pandas, scikit-learn) in cloud production environments.\n\nSalary: GBP 36000 - 60000 per year",
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