Massive Entertainment is a world-leading AAA studio located in Malmö, Sweden and part of the Ubisoft family. We're a multinational team of more than 750 passionate and highly skilled people from 50+ different countries. Our studio's goal has always been – and still is – to craft the finest gaming experiences for all players.
At Massive, you get to do what you love most while bringing your own experience to our ongoing projects, like Tom Clancy's The Division 2, Avatar: Frontiers of Pandora, and Star Wars Outlaws. We're also developing new tech here, such as our in-house engine Snowdrop, and Ubisoft Connect - Ubisoft's digital ecosystem and distribution platform.
Job Description
We're 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 Clancy's the Division 2.
As a Data Scientist, you'll 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. You'll 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 you'll be focusing on are:
• Supporting the game production data-based tooling needs;
• Developing tools and models to personalize and improve the players experience;
• Obtaining a better understanding of our players journey and in-game behavior;
We're offering a permanent position in Malmö, 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 company's primary language.
What You'll Do
• Designing, implementing, optimizing, deploying and maintaining statistical learning models (notably AI/ML models), based on business needs. Improve performance of pre-existing ones, managing their re-engineering 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 processing's.
• 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 You'll Bring
You're motivated by what data can influence and comfortable in a variety of data science frameworks and technologies. You're interested in videogames and are motivated by the collaborating with a team for high-quality 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 production's needs.
Besides the above we're looking for someone aligned with our core values and the following skills and experience:
• Proven work experience in Data Science, with a wide range of machine learning algorithm types (e.g. supervised & unsupervised learning, recommendation systems, sequence modelling, reinforcement learning);
• Proficient in Python, SQL;
• Proficient with various cloud services and large-scale distributed architectures, examples of which are Hadoop, Spark, AWS, and Azure;
• Key analytic skills and video game data domain curiosity;
• A master's degree in Computer Science, Data Science, Machine Learning, a similar field, or the equivalent work experience.
• Experience working within the game development industry and interest or knowledge in the Tom Clancy's The Division franchise is beneficial
Jobcode: Reference SBJ-d2jv1y-64-137-42-174-42 in your application.
