Senior ML Data Scientist _ Content Creation Technology Group

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Montréal, QC
In-Office
Gaming
The Role
Company Description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assasin'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!

Job Description

The Content Creation Technology Group (CCTG) is looking for a Senior ML Data scientist to work in a team that develops machine learning solutions to improve the player experience, including a project on bots that simulate real competing players. The Senior ML Data scientist will create highly efficient self-learning systems that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning. 

Main responsibilities: 

  • Create, validate, test and update ML algorithms and models. 

  • Identify, prepare, and analyze data for training and testing purposes. 

  • Conduct experiments, perform statistical analysis, fine-tune and optimize models. 

  • Use analytical rigor and statistical methods to analyze large amounts of data, developing actionable insights using advanced statistical techniques such as predictive statistical models, user/player profiling, segmentation analysis, survey design, analysis and data mining. 

  • Oversee and design various proofs of concept to validate AI projects. 

  • Research new ways for modeling and predicting behavior and design experiments to answer targeted questions. 

Other responsibilities: 

  • Collaborating with cross-functional teams to define project requirements and objectives.  

  • Conducting research to stay up to date with the latest advancements. 

  • Documentation, presentations, and knowledge sharing to communicate complex AI concepts to both technical and non-technical collaborators. 

  • Mentor other members of the team. 

Qualifications

Education: 

  • Master's degree and/or Ph.D. preferred in applied math, statistics, machine learning or equivalent experience. 

Relevant Experience: 

  • 3 to 5 years of complex experience and job-related in-depth expertise. 

Core Skills: 

  • Ability to use and develop machine learning algorithms and related proven methods. 

  • Ability to use advanced data science techniques. 

  • Ability to use statistics to understand behavior of systems and/or players. 

  • Being Familiar with Big Data Technology (Hadoop, Casandra, MongoDB, ElasticSearch). 

  • Passion for using data science to solve problems. 

  • Ability to quickly assess a problem both qualitatively and quantitatively. 

Other skills: 

  • Software engineering skills. 

  • Being familiar with distributed computing to train models. 

  • Proficient in Python and have experience with libraries and frameworks such as PyTorch and/or TensorFlow. 

  • A good knowledge of cloud-based platforms is an asset. 

  • Team player with excellent organizational, communication and interpersonal skills. 

  • Business value oriented. 

  • Bilingualism (French, English). 

Additional Information

We embrace a hybrid work model helping you stay connected with 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.

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The Company
21,450 Employees
Year Founded: 1986

What We Do

Ubisoft’s 20,000 team members, working across more than 40 locations around the world, are bound by a common mission to enrich players’ lives with original and memorable gaming experiences.

Their dedication and talent has brought to life many acclaimed franchises such as Assassin’s Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six, and many more to come. Ubisoft is an equal opportunity employer that believes diverse backgrounds and perspectives are key to creating worlds where both players and teams can thrive and express themselves.

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