Principal Data Scientist

Productmadness

Fully remote
Lead high-impact data science initiatives
Build and deliver machine learning solutions
Lead modeling framework for complex systems
Productmadness is seeking a Principal Data Scientist to enhance player engagement and business outcomes in the gaming industry. The role involves leading data science initiatives, developing machine learning solutions, and collaborating with diverse teams to shape the future of gaming

Job Summary

  • At Aristocrat, we aim to bring happiness to life through the power of play, and this role is vital in enhancing gameplay, boosting player engagement, and improving business outcomes.
  • You will lead high-impact data science initiatives end-to-end, build machine learning solutions, and drive scalable experimentation with A/B and Multi-armed bandit testing frameworks.
  • Product Madness, part of the Aristocrat family, fosters an inclusive culture and offers opportunities for career elevation, as recognized by the Global Inspiring Workplace Awards.

Matching Summary

Match Score: 85

Productmadness is seeking a Principal Data Scientist to enhance player engagement and business outcomes in the gaming industry. The role involves leading data science initiatives, developing machine learning solutions, and collaborating with diverse teams to shape the future of gaming.

Skills & Requirements

Must-have

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

Nice-to-have

  • Experience in gaming or digital entertainment
  • Promoting data-informed decision-making
  • Collaborate with diverse teams
  • Technical leadership and mentoring

Key Requirements

  • PhD or MSc in quantitative field or equivalent experience
  • 5+ years of professional data science experience
  • Delivered 3+ data or ML products to production
  • Proficiency in clustering, predictive modeling, RL, Bayesian statistics
  • Familiarity with big data technologies or cloud platforms
  • Authorized to work in job posting location without sponsorship

Work Rights

Must be authorized to work in the job posting location

Tailored Resume

Cover Letter