Data Scientist (Gamedev)

TL;DR

Data Scientist (Gamedev): Designing and delivering advanced analytical solutions and predictive models to understand player behavior and improve game experiences with an accent on statistical rigor and machine learning. Focus on building impactful data products, collaborating with cross-functional teams, and translating complex datasets into actionable business insights.

Location: Must be based in Leeds, England (Onsite)

Company

A world-class entertainment studio known for creating large-scale, high-quality creative projects.

What you will do

• Design and deliver data analytics solutions to address critical business and game-related questions.
• Develop predictive models and leverage machine learning to uncover hidden opportunities within gameplay data.
• Create impactful reports and presentations to communicate insights to diverse stakeholders.
• Partner with data engineers and analysts to design robust data pipelines and data products.
• Mentor junior team members and contribute to the development of the analytics department.
• Collaborate globally to ensure Rockstar maintains a competitive advantage through data-driven decision-making.

Requirements

• 2+ years of experience in a data science role.
• Proficiency in statistical theories including probability, distributions, and causal inference.
• Strong knowledge of machine learning techniques such as clustering, gradient boosting, and neural networks.
• Excellent SQL skills and experience using Python for statistical analysis.
• Experience with large, complex datasets and BI platforms like Tableau.
• Strong problem-solving skills and ability to communicate technical insights to business stakeholders.

Nice to have

• Experience writing production-stable code, preferably using Pyspark.
• Familiarity with Databricks and MLFlow.
• Graduate degree (MSc, MBA, or PhD) in a quantitative field.
• Prior experience in the game industry.

Culture & Benefits

• Inclusive and highly-motivated work environment.
• Opportunity to work on world-class, large-scale creative projects.
• Commitment to equal opportunity and professional development.
• Collaborative global team structure.

Hiring process

• Application review via CV and cover letter.
• Recruiter outreach for successful candidates to guide through the interview process.