Data Scientist - Canada Analytics Team
What you will do
Ubisoft HQ Production is looking for a Data Scientist to join the Canada Analytics Team (CAT). The primary mission of this team is to create the best gaming experiences by putting player behaviors and motivations at the heart of the design process. As a Data Scientist, you will be working directly with game productions, creating novel solutions, automating processes, improving game systems, and generating meaningful insights.
You will work closely with Rainbow Six Siege’s Game Security team to identify and help solve their specific challenges, assisting them throughout their live operations while proposing data-backed solutions and boosting their awareness of the possibilities data science has to offer. That means designing, testing, and deploying machine learning models and applying data science and algorithmics to improve the security of our game systems.
Responsibilities
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.
Collaborate with other transversal teams with data expertise and be a reference within your game production, fostering knowledge sharing and promoting best practices.
Qualifications
Waht you bring
Qualifications
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: you can interact with all disciplines and break down complex information for various audiences.
A highly collaborative spirit, with a desire to share your knowledge and help others develop their skills.
Motivation to innovate in the video game industry and adapt to its ever-evolving rhythm.
Nice to have:
Practical experience in detecting and preventing fraud and price manipulation.
Experience with PySpark and Databricks.
Knowledge of live multiplayer games.
Practical experience in fraud and abuse detection and prevention.