Data Scientist (Data Science & ML)

TL;DR

Data Scientist (Data Science & ML): Creating novel solutions, automating processes, improving game systems, and generating meaningful insights for Rainbow Six Siege’s Game Security team with an accent on designing, testing, and deploying machine learning models. Focus on applying data science and algorithmics to improve the security of game systems and detecting fraud and abuse.

Location: Office-based in Montreal, Canada

Company

hirify.global is a global leader in gaming, creating original and memorable experiences such as Assassin's Creed and Rainbow Six.

What you will do

• Contribute to large-scale data science projects from problem statement to delivery.
• Develop, deploy, evaluate, and improve the performance of detection models.
• Carry out advanced analyses to discover valuable insights that support strategy and guide decision-making.
• Partner with production teams to understand their issues and uncover opportunities for automated solutions.
• Translate your findings into visualizations and present results and recommendations.
• Create and research new methodologies adapted to the specific nature of video games and foster knowledge sharing.

Requirements

• Experience developing and deploying machine learning models and manipulating data.
• Proficiency in SQL and Python.
• Knowledge of the gaming industry.
• Flexibility in the organization of your work to adapt to changes and balance tasks.
• Effective cross-departmental communication and a highly collaborative spirit.
• Motivation to innovate in the video game industry.

Nice to have

• Practical experience in detecting and preventing fraud and price manipulation or abuse.
• Experience with PySpark and Databricks.
• Knowledge of live multiplayer games.

Culture & Benefits

• Opportunity to join a team focused on creating the best gaming experiences.
• Work in a company that believes diverse perspectives help teams thrive.
• Be part of a team passionate about innovation and pushing boundaries in entertainment.