Data Scientist, Amazon Games

Amazon’ department Amazon Games based in Montreal, QC is inviting applications from suitable candidates for the position of Data Scientist. Amazon’ department Amazon Games is a dynamic sector within the tech giant, dedicated to the development and innovation of video games and interactive entertainment. Focused on creating immersive gaming experiences, it produces and publishes a diverse range of games for various platforms. Leveraging cutting-edge technology and creativity, it actively contributes to the gaming industry’s evolution. The candidates selected for the vacancy will be required to start the work as soon as possible.

Job Description:

Employer Name: Amazon
Department: Amazon Games
Position: Data Scientist, Amazon Games Montréal
No of Vacancies: 2
Salary: Salary is not mentioned, $38.00-$42.00 hourly estimated salary
Employment Type: Full time
Job Category: Data Science
Location: Montreal, QC, Canada
Job ID: 2529913


Languages: Candidates must have knowledge of the English Language
Education: Candidates should have Bachelor degree in statistics, economics, machine learning, operations research, computer science or other quantitative field
Experience: Candidates should have 3+ years of industry experience using in-game telemetry in SQL, Spark or other languages/programs

Other Requirements:

  • The candidates should have experience with statistical analysis and testing, as well as model development (decision trees, reinforcement learning, Bayesian inference)
  • The candidates should have ability to use a language such as Python or R (acceptable) to work efficiently with large datasets at scale
  • The candidates should possess the ability to design complex systems and build advanced models using data science methodologies
  • The candidates should have strong verbal and written communication skills in French and English are required. Due to the nature of the role, which requires interaction with other Amazon entities globally and with Amazon employees and stakeholders in other provinces in Canada, bilingual proficiency in French and English is essential for this position
  • The candidates should have knowledge of the mathematical underpinnings of statistics, machine learning, optimization, economics, and analytics
  • The candidates should have a MOBA gaming background, History with live games and game development and AWS technology data processing experience


  • The candidates should be able to contribute to the design of engaging player-facing features
  • The candidates should be able to work directly with developers and game designers to implement and calibrate in-game features based on player actions
  • The candidates should be able to support players as they progress through the game and develop systems to track, measure, and improve their performance
  • The candidates should be able to help create a dynamic, immersive game environment where players can engage and evolve in meaningful ways
  • The candidates should be able to work closely with the game development team to build models and design systems that accurately reflect game interactions and player performance
  • The candidates should be able to define data collection specifications and align data structure with in-game systems
  • The candidates should be able to collaborate on model integration, related gameplay features and able to develop tools to monitor and report on model quality
  • The candidates should be able to define meaningful player performance KPIs and relevant data visualization tools to track player progression

How to apply:

If the position is fit for you and the basic requirements are fulfilled then you can now apply directly to the employer (along with your resume) through the below-mentioned details.

Apply Online




We thank all the applicants for showing their interest and trust in us, however, only the most eligible candidates will be selected and conducted for further procedure directly from employers, in between no charges/fees or original documents will be asked from any applicant. All the best!

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