TL;DR

Data Scientist (Gaming): Creating novel solutions, automating processes, improving game systems, and generating meaningful insights to enhance gaming experiences and security for Rainbow Six Siege. Focus on designing, testing, and deploying machine learning models to improve the security of game systems and identify specific challenges.

Location: Hybrid work in Montreal, Canada

Company

%hirify_global% is a global leader in gaming, creating original and memorable gaming experiences.

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.

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, allowing you to adapt to changes and balance a range of tasks.
Effective cross-departmental communication, interacting with all disciplines and breaking down complex information.
A highly collaborative spirit, with a desire to share your knowledge and help others develop their skills.

Nice to have

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

Culture & Benefits

Embrace a hybrid work model helping you stay connected with your team and maintain work-life balance.
Diverse perspectives help both players and teams thrive.
Opportunity to innovate in the video game industry and adapt to its ever-evolving rhythm.