Data Scientist - Principal

Aristocrat Technologies Australia Pty Ltd

London, United Kingdom
Fully remote
Lead data science initiatives end-to-end
Build machine learning and reinforcement learning solutions
Lead modeling framework for complex systems
Aristocrat aims to bring happiness to life through the power of play, seeking a Principal Data Scientist to enhance gameplay, boost player engagement, and improve business outcomes

Job Summary

  • Aristocrat aims to bring happiness to life through the power of play, seeking a Principal Data Scientist to enhance gameplay, boost player engagement, and improve business outcomes.
  • The role involves leading high-impact data science initiatives, building ML/RL solutions, and partnering with game teams to translate analytical results into actionable product and operational actions.
  • Product Madness, part of Aristocrat, fosters a 'People First' principle with opportunities for career elevation and growth, recognized by Global Inspiring Workplace Awards.

Matching Summary

Aristocrat aims to bring happiness to life through the power of play, seeking a Principal Data Scientist to enhance gameplay, boost player engagement, and improve business outcomes.

Skills & Requirements

Must-have

  • Lead data science initiatives end-to-end
  • Build machine learning and reinforcement learning solutions
  • Lead modeling framework for complex systems
  • Drive scalable experimentation
  • Proficiency in SQL and Python
  • Hands-on software engineering and MLOps

Nice-to-have

  • Experience in gaming or digital entertainment
  • Promote data-informed decision-making
  • Foster an inclusive culture

Key Requirements

  • PhD or MSc in quantitative field or equivalent experience
  • 5+ years of professional data science experience
  • Delivered at least 3 data or ML products
  • Proficiency in clustering, predictive modeling, RL, Bayesian statistics
  • Familiarity with big data technologies or cloud platforms

Work Rights

Authorized to work in the UK

Tailored Resume

Cover Letter