Game Security Data Scientist: Protect Fair Play (Hybrid)
Ubisoft
Montreal
Hybrid
CAD 70,000 - 90,000
Full time
19 days ago
Job summary
A leading video game company in Montreal seeks a Player Protection and Game Security Data Specialist to defend the integrity of player experience in Rainbow Six Siege. The role includes mitigating threats like botting and account theft, analyzing data to propose effective strategies, and collaborating with cross-functional teams. Candidates should have a degree in Data Science and experience in data analysis, ideally related to gaming or cybersecurity. Proficiency in Python and SQL is required.
Benefits
Collaborative work environment
Flexible work model
Competitive social benefits
Qualifications
- 3+ years of experience in data analysis, ideally in gaming, fraud detection, or cybersecurity.
- Experience with machine learning and anomaly detection is a strong asset.
- Familiarity with game telemetry, matchmaking systems, or player behavior analytics is a plus.
Responsibilities
- Defend competitive integrity against threats such as botting and boosting.
- Develop player protection KPIs and monitoring dashboards.
- Collaborate with cross-functional teams to enhance detection and response capabilities.
Skills
Analytical and problem-solving abilities
Interest in player protection and game security
Excellent communication skills
Proactive and results-driven
Education
Bachelor’s or master’s degree in Data science or analysis, Computer Science, Statistics, or a related field
Tools
Python
SQL
Data visualization tools
A leading video game company in Montreal seeks a Player Protection and Game Security Data Specialist to defend the integrity of player experience in Rainbow Six Siege. The role includes mitigating threats like botting and account theft, analyzing data to propose effective strategies, and collaborating with cross-functional teams. Candidates should have a degree in Data Science and experience in data analysis, ideally related to gaming or cybersecurity. Proficiency in Python and SQL is required.