Data Scientist - Generative Artificial Intelligence

#### Company Description Ubisoft is a world leader in the video game industry, with teams around the world creating original and memorable experiences, from Assassin’s Creed and Rainbow Six to Just Dance and much more. We believe that diverse perspectives allow both players and teams to thrive. If you are passionate about innovation and pushing the boundaries of entertainment, join us and help create the unknown! #### Job Description As a Data Scientist at Ubisoft Montréal, you will contribute to a technology product that integrates generative artificial intelligence (AI) into our game features. You will work with a team bringing together data scientists, programming, game design, narrative, and animation. Together, you will explore the possibilities of generative AI to create engaging gameplay experiences, then test them with players. The team's work also touches on research and development, product development, the creation of short games, and collaboration between studios. **What you will do** - Define evaluation objectives and protocols based on the needs of design teams and player data - Design prototypes and train machine learning models to meet these objectives - Collaborate with machine learning specialists to transfer prototypes and establish success criteria for their integration - Review AI system behaviors and opportunities to improve the game with design teams - Identify opportunities for experimentation and innovation - Present your work and results clearly to diverse audiences #### Qualifications What you bring to the team - Experience in data science gained in projects related to interactive products, such as games, applications, or real-time systems - Use of Python and TensorFlow or PyTorch - Application of knowledge in statistics and evaluation methods, including data mining, statistical testing, and A/B testing - Examination of complex and sequential data from interactive systems - Leveraging your knowledge of large language models - Translating client needs into specifications through your listening skills and understanding, while organizing your work and nurturing your interest in video games - Communicating in English, both written and spoken, with stakeholders from different countries, as required by the international collaboration associated with the position Experience with PySpark is an asset. What to send us - Send your CV highlighting your relevant skills and experience - Present links to relevant data science or machine learning projects