Data Scientist - Game Analytics in Leeds

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 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

• 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.

PLUSES

• Experience in writing production-stable code (preferably Pyspark), pushing models and data pipelines to production, and iterating on models in production.
• 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.

HOW TO APPLY

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.