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Senior Data Scientist, Game Analytics - Drive Player Insights

Rockstar Games

Leeds

On-site

GBP 50,000 - 70,000

Full time

Yesterday
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Job summary

A major video game developer based in Leeds is looking for a Senior Data Scientist. This full-time, in-office role involves designing data analytics solutions and providing high-quality insights. Candidates should have 5+ years in data science, strong proficiency in machine learning and statistical theories, and a passion for gaming. Key responsibilities include developing data products and conducting predictive modeling. The ideal candidate will excel at data storytelling and problem-solving, contributing to strategic initiatives within a collaborative environment.

Qualifications

  • 5+ years in a data science role required.
  • Experience writing production-stable code and pushing models to production.
  • Proficiency in statistical theories such as probability, distributions, causal inference.
  • Excellent data visualization skills and storytelling ability.

Responsibilities

  • Design, develop, and deliver data analytics solutions.
  • Assure high quality insights and in-depth analyses.
  • Tell impactful stories with data through reports and presentations.
  • Conduct proactive analysis and predictive modeling.

Skills

Data storytelling
Machine learning techniques
Statistical theories
SQL skills
Pyspark programming
Problem-solving
Passion for video games

Education

Bachelor’s degree in Computer Science, Mathematics, or related field
Graduate degree (MBA, MSc, or PhD)

Tools

Tableau
Databricks
Job description
A major video game developer based in Leeds is looking for a Senior Data Scientist. This full-time, in-office role involves designing data analytics solutions and providing high-quality insights. Candidates should have 5+ years in data science, strong proficiency in machine learning and statistical theories, and a passion for gaming. Key responsibilities include developing data products and conducting predictive modeling. The ideal candidate will excel at data storytelling and problem-solving, contributing to strategic initiatives within a collaborative environment.
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