Videogame Data Insights Lead

3 days ago

Malmo, Skåne, Sweden Ubisoft Entertainment Full time

About Us

Ubisoft Entertainment is a world-leading videogame developer, publisher and distributor of interactive entertainment products across the globe.

We're a multinational team of over 19,000 passionate and highly skilled people from more than 30 countries.

We're 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 seeking a talented Data Scientist to join our Game Intelligence Department and contribute to the development of innovative data-driven solutions.

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;

Key Responsibilities

- Designing, implementing, optimizing, deploying and maintaining statistical learning models (notably AI/ML models), based on business needs.

- 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.

- 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

We're looking for someone who is 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 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.

Requirements

- 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 games developed at Massive is beneficial.

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