Data Scientist
Ubisoft
Job Overview
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Job Description
Company Description
Ubisoft is a global leader in gaming, with teams across the world creating original and memorable experiences — from Assassin’s Creed and Rainbow Six to Just Dance and more. We believe that diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing the boundaries of entertainment, join us on our journey and help create the unknown!
Job Description
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
What 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.
Key skills/competency
- Data Science
- Machine Learning
- SQL
- Python
- Game Analytics
- Fraud Detection
- Algorithmics
- Data Visualization
- Strategic Insights
- Collaboration
How to Get Hired at Ubisoft
- Research Ubisoft's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their innovation in gaming.
- Tailor your Data Scientist resume: Customize your resume to highlight experience with machine learning models, SQL, Python, and data manipulation relevant to game development.
- Showcase gaming industry knowledge: Emphasize your understanding of player behaviors, game design, and motivation to innovate within the video game industry in your application.
- Prepare for technical interviews: Be ready to discuss your experience in developing ML models, fraud detection, and algorithmics, demonstrating problem-solving skills specific to game security.
- Emphasize collaboration & communication: Provide examples of translating complex data findings into actionable insights for diverse audiences and fostering knowledge sharing within a team.
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