Senior Data Scientist, Game Analytics — In-Office Leeds

Rockstar Games

Leeds

On-site

GBP 70,000 - 110,000

Full time

14 days+

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Rockstar Games is seeking a Senior Data Scientist for our Leeds studio to design and deliver data analytics solutions for game insights. You will build production-grade models and dashboards, collaborating across data teams to drive decision-making in game development and live operations.

Join a globally focused analytics group focused on player behavior, data pipelines, and ML applications. This in-office role offers opportunities to mentor juniors and advance data-driven storytelling in the

Qualifications

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.

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.