Summary
As a core member of the Rainbow Six Siege Game Security team, the Player Protection and Game Security Data Scientist plays a crucial role in safeguarding the integrity of the player experience. This role focuses on leveraging data to detect and mitigate threats that undermine fairness, safety, and trust within the game.
The Data Scientist will concentrate on protecting three key pillars:
1. Monetization fairness, addressing issues like marketplace abuse and item exploitation.
2. Competitive integrity, identifying behaviors such as boosting and smurfing.
3. Account integrity, tackling account theft, unauthorized access, and account selling.
The initial priority will be to lead the strategy against Marketplace and Grey Market abuse and fraud. This includes analyzing abuse patterns and fraud types, defining key metrics to monitor their evolution, designing alert systems to automatically detect market anomalies, advising on response strategies and safeguards post-detection, and collaborating with the monetization team to implement reinforcement mechanisms that curb abuse while preserving market freedom.
Beyond monetization, the Data Scientist will contribute to strategies that uphold competitive integrity at the game level, ensuring that insights and interventions align with the mission to protect players and maintain a fair environment.
For account integrity, the role involves applying cross-functional expertise to strengthen existing defenses, overseeing monitoring systems, and ensuring timely detection and response to emerging threats.
Responsibilities
Work with teams such as UDO, Online Services, SRM, CRC and Game Security to enhance detection and response capabilities. Connect data across systems to trace the full lifecycle of abuse, from detection to sanction to appeal.
Create alerts based KPI metrics that reflect the health of the player protection ecosystem. Develop real-time alerting based on abuse trends, system effectiveness, and threat actor behaviors.
Develop and maintain systems that will detect abuse patterns across competitive, monetization, and account-related domains. Use data from multiple ecosystems to uncover emerging threats and assess their impact on players.
Stay current with industry trends in anomaly detection, behavioral analytics, and game data science. Propose new approaches and technologies to strengthen player protection strategies.
Qualifications
Skills & Attributes: