Rockstar Games
AI

Data Scientist Game Analytics

Rockstar Games · Leeds, ENG, GB

Actively hiring Posted 28 days ago

Role overview

At Rockstar Games, we create world-class entertainment experiences.

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar is on the lookout for a passionate Data Scientist who possesses a passion for both games, and big data.

This is a full-time, permanent and in-office position based in Rockstar's unique game development studio in the heart of Leeds, England.

What you'll work on

  • Design, develop, and deliver data analytics solutions to address critical business or game questions, leveraging machine learning and advanced analytical techniques as appropriate.
  • Assure Rockstar's ongoing competitive advantage by providing high quality insights and in-depth analyses, aligned to strategic initiatives and design intentions.
  • Tell impactful stories with data through insightful, actionable reports and presentations.
  • Develop a deep understanding of gameplay flows, and leverage this to inform analysis of game data.
  • Identify and lead analytic value-add projects and experiments aligned with long-term strategic initiatives.
  • Conduct proactive in-depth analysis and predictive modeling to uncover hidden opportunities.
  • Partner with data analysts, data engineers, data scientists, data governance analysts, and stakeholders to better understand requirements, find bottlenecks, and implement resolutions.
  • Help mentor and develop the skillsets of the junior team members within your team or department.

What we're looking for

  • 2+ years in a data science role required.
  • Proficiency in statistical theories such as probability, distributions, Bayesian statistics, causal inference.
  • Knowledge of machine learning techniques such as Clustering, Gradient Boosting, Neural Networks, Regression.
  • Excellent SQL skills and experience using Python for machine learning / statistical analysis.
  • Experience using large, complex datasets and building dashboards using a BI platform, ideally Tableau.
  • Excellent data storytelling and visualization skills, able to effectively communicate insights to a diverse range of stakeholders.
  • Strong problem-solving skills with the ability to reconcile technical and business perspectives.
  • Passion for video games and knowledge of the industry.

Tags & focus areas

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Fulltime Data Science Ai