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A leading gaming company in Montreal is seeking a Data Scientist to join their Canada Analytics Team. The ideal candidate will develop machine learning models, analyze data, and collaborate with production teams to enhance gaming experiences. You will need strong skills in Python and SQL, along with knowledge of the gaming industry. This role supports a hybrid work model, fostering innovation and collaboration in a dynamic environment focused on creativity and player engagement.
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
Waht you bring
Qualifications
Nice to have:
Ubisoft is a global leader in gaming with teams across the world creating original and
memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more.
We believe diverse perspectives help both players and teams thrive. If you’re passionate
about innovation and pushing entertainment boundaries, join our journey and help us create
the unknown!
We embrace a hybrid work model helping you stay connectedwith your team and aligned with
business priorities, while giving you the opportunity to maintain your work-life balance.Note,
that some roles are fully office-based and are not eligible for hybrid work.