About the Role
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 Senior 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 We Do
- The Rockstar Analytics team provide actionable insights to a wide variety of stakeholders across the organization in support of their decision making.
- We partner with multiple departments across the company to design and implement data and pipelines.
- We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications.
- The Game Analytics vertical is heavily focused on understanding our players and using data to improve our games.
Responsibilities
- 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.
Requirements
- 5+ years in a data science role required.
- Experience in writing production-stable code (preferably PySpark), pushing models and data pipelines to production, and iterating on models in production.
- 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.
Pluses
- Experience with Databricks and MLFlow.
- Graduate degree (MBA, MSc or Master’s, PHD), an asset.
- Game industry experience, an asset.
- Bachelor’s degree in Computer Science, Mathematics, or a related field, with a strong quantitative background.