Data Scientist

1 day ago

Melbourne, Victoria, Australia beBeeDataScientist Full time $120,000 - $260,000
Unlock the Power of AI in Media Landscape

The ideal location for this role is Sydney or Melbourne, where you can harness large-scale viewing data and influence how millions of viewers experience content.

A unique opportunity awaits to re imagine the role of data and AI in the media industry with executive-level sponsorship for innovation and access to a rich data ecosystem.

Key Responsibilities:
  • Optimize content investment and subscriber pricing strategies using proprietary data and AI frameworks.
  • Translate complex audience, loyalty, and content-viewing data into commercially impactful decisions.
  • Design and implement robust machine learning and AI solutions that unlock new value streams.
  • Partner closely with stakeholders to demonstrate the impact of analytics, selecting the right metrics, applying A/B testing, and leveraging experimental design.
  • Champion evidence-based decision-making, sharing insights and helping to embed AI best practices across the business.
  • Inform Foxtel's broader AI strategy through market research, a deep understanding of industry trends, and a network of technical advisors.

The ideal candidate will have a PhD in Statistics, Machine Learning, Mathematics, Physics, Actuarial Studies, Computer Science, Economics, or another related quantitative field. They will also have substantial hands-on experience as a Data Scientist in a large, complex business environment, ideally one that deals with audience, customer, or loyalty data.

Requirements:
  • PhD in Statistics, Machine Learning, Mathematics, Physics, Actuarial Studies, Computer Science, Economics, or another related quantitative field.
  • Substantial hands-on experience as a Data Scientist in a large, complex business environment.
  • Demonstrated expertise in applying statistical modelling, experimental design, and performance measurement techniques to solve business problems.
  • Deep experience designing, engineering, and deploying production-ready AI/ML models.
  • Ability to bridge complex statistical methods with tangible business value.
  • Proficiency in Python or R, strong SQL skills, and familiarity with BI tools such as Looker or Tableau.
  • Forward-thinking, collaborative mindset with a passion for applying AI in real-world, high-impact scenarios.

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