Player Protection and Game Security Data Scientist [Rainbow Six Siege]

Ubisoft Entertainment; Montreal; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading gaming company in Montreal is seeking a Player Protection and Game Security Data Scientist for the Rainbow Six Siege team. This role involves leveraging data to detect and mitigate threats to player integrity, with a focus on marketplace fairness and competitive integrity. The ideal candidate will have a background in data science with over 3 years of experience, excellent analytical skills, and a passion for game security. This position offers a hybrid work model to balance personal and professional life.

Qualifications

• 3+ years of experience in data science, ideally in gaming, fraud detection, or cybersecurity.
• Experience with real-time alerting systems or streaming data pipelines.
• Fluency in English required.

Responsibilities

• Lead the development and implementation of marketplace abuse strategies.
• Create alerts based on player protection KPIs.
• Develop systems to detect abuse patterns across multiple domains.

Skills

Analytical skills

Problem-solving abilities

Knowledge of anomaly detection

Behavioral analytics

Communication skills

Education

Bachelor’s or master’s degree in data science or related field

Job description

Player Protection and Game Security Data Scientist [Rainbow Six Siege]

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:

• Monetization fairness, addressing issues like marketplace abuse and item exploitation.
• Competitive integrity, identifying behaviors such as boosting and smurfing.
• 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

• Marketplace Abuse Strategy – Lead the development and implementation of strategies to detect and mitigate marketplace and grey market abuses. Define and monitor key metrics to track fraudulent behaviors, build alerting systems to flag anomalies, and collaborate with monetization teams to design safeguards that reduce abuse while preserving market dynamics. Provide data‑driven insights to support enforcement actions and policy adjustments.
• Player Protection KPIs Monitoring Alerts – 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 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

What you bring

• Bachelor’s or master’s degree in data science or analysis, Computer Science, Statistics, or a related field.
• 3+ years of experience in data science, ideally in gaming, fraud detection, or cybersecurity.
• Knowledge of financial compliance or market fraud detection.
• Knowledge of anomaly detection, classification models, and clustering techniques.
• Experience with behavioral analytics and fraud detection algorithms.
• Experience with building or maintaining real‑time alerting systems or streaming data pipelines.
• Familiarity with game telemetry, matchmaking systems, or player behavior analytics is a plus.

Skills & Attributes:

• Strong analytical and problem‑solving abilities
• Genuine interest in player protection and game security
• Autonomous, proactive, and results‑driven
• Excellent communicator with the ability to turn complex data into actionable insights
• Curious, pragmatic, and adaptable to fast‑evolving challenges
• Collaborative team player with a security‑first mindset
• Fluency in English is required for effective communication with our colleagues and partners around the world who do not speak French.

We embrace a hybrid work model helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work‑life balance.