drjobs Data Scientist Game Intelligence

Data Scientist Game Intelligence

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1 Vacancy
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Job Location drjobs

Malmö - Sweden

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Were looking for a Data Scientist to join our Game Intelligence Department and to help us continue exploring how advanced data processing solutions can contribute making better games within our world class videogame studio focusing on the live game Tom Clancys the Division 2.

As a Data Scientist youll be responsible for designing implementing and maintaining statistical learning models (notably AI/ML models) together with corresponding data pipelines data analysis and performance monitoring tooling. Youll collaborate with other Data Scientists Data/MLOps Engineers Game Analysts User Researchers Games Lab Moderators and Ubisoft tech providers understanding the needs and proposing robust data science solutions to business requirements in a complex technical environment.

Some of the areas youll be focusing on are:

  • Supporting the game production databased tooling needs;
  • Developing tools and models to personalize and improve the players experience;
  • Obtaining a better understanding of our players journey and ingame behavior;

Were offering a permanent position in Malm Sweden with the flexibility to work partially from home (up to two days a week) under our Flexible Workplace Policy. Please apply using English our companys primary language.

What Youll Do

  • Designing implementing optimizing deploying and maintaining statistical learning models (notably AI/ML models) based on business needs. Improve performance of preexisting ones managing their reengineering and smooth transitioning.
  • Communicating with stakeholders to understand & refine the business needs. Derive data science goals success metrics and tasks. Loop back learnings and feedback from stakeholders proactively to support the projects.
  • Defining implementing and maintaining ETLs that assemble large & complex datasets from heterogeneous data sources.
  • Performing Exploratory Data Analysis on datasets derive actionable insights for stakeholders and improve data quality for further processings.
  • Building prototypes in controlled environments and data to perform quick iterations with stakeholders to improve aiming for their productization.
  • Contributing to defining and implementing best practices in terms of infrastructure deployment pipelines CI/CD tools code quality unit tests.
  • Documenting processes modeling steps ETLs reports and tools within the centralized dept documentation repository.

 


Qualifications :

What Youll Bring

Youre motivated by what data can influence and comfortable in a variety of data science frameworks and technologies. Youre interested in videogames and are motivated by the collaborating with a team for highquality deliveries and support. You are curious by heart and thrive in finding new possible ways and solutions to enhance your work. You communicate efficiently and create trustful relations with your stakeholders while focusing on productions needs.

Besides the above were looking for someone aligned with our core values and the following skills and experience:


Additional Information :

Ubisofts 19000 team members working across more than 30 countries around the world are bound by a common mission to enrich players lives with original and memorable gaming experiences. Their commitment and talent have brought to life many acclaimed franchises such as Assassins 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. If you are excited about solving gamechanging challenges cutting edge technologies and pushing the boundaries of entertainment we invite you to join our journey and help us create the unknown. 

You can also find a summary of the Massive Job Perks here. 

Questions Were more than happy to answer them! Please contact Paula Roese Mesquita

All your application information will be kept confidential according to EEO & GDPR guidelines. 


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

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