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Ticketek Entertainment Group

Organizes and promotes live events globally

Lead Data Scientist

Applied Machine LearningPosted on Nov 11
Full-timeSydney NSW, AustraliaA$180k

About the Job

Requirements

  • 7+ years leading and delivering data science projects from inception to production, ideally in a high-volume e-commerce or digital environment, with a strong technical background in a major cloud ecosystem.
  • A tertiary degree in a quantitative field such as Statistics, Mathematics, Engineering, Computer Science or a related discipline.
  • Significant theoretical and practical experience in recommendation engines, pricing optimisation and customer lifecycle modelling, plus proven experience building GenAI and Agentic AI solutions.
  • Ability to design experimental frameworks and apply statistical methods to validate model performance and business uplift.
  • Advanced skills in BigQuery and Python, with hands-on experience in GCP and Vertex AI.
  • Extensive experience in a collaborative software development environment, including version control (Git) and CI/CD pipelines.
  • Ability to articulate complex theoretical concepts and technical trade-offs clearly to technical leads and broader stakeholders.
  • Track record of growing junior data scientists into senior contributors through coaching in production engineering, technical rigour and scientific excellence.

Responsibilities

  • Architect and lead delivery of machine learning and Generative AI solutions, setting technical standards and ensuring solutions are scientifically sound, commercially viable and operationally sustainable.
  • Translate broad business strategy into concrete technical execution plans in collaboration with the Principal Data Scientist.
  • Lead the design and implementation of experimentation and measurement frameworks to quantify solution performance and business impact.
  • Write production-quality code to develop and refine models, partnering with Machine Learning Engineers to deploy solutions on cloud platforms.
  • Build and maintain trusted relationships with technical leads and business stakeholders, translating model behaviour and AI-driven impact into actionable reports connected to commercial strategy.
  • Mentor Data Scientists and lead the transition from experimental notebooks to production-grade systems.
  • Oversee end-to-end development of multiple data science and AI products, from early prototypes to stable production-grade systems.
  • Deliver measurable business value through recommendation systems, dynamic pricing and customer segmentation, combining traditional machine learning and agentic AI frameworks.

Desired Qualifications

  • Experience in a high-volume e-commerce or digital environment is preferred.

About the Company

Ticketek Entertainment Group

Organizes and promotes live events globally

TEG coordinates and promotes live events such as concerts, sports, musicals, exhibitions, and e-sports, handling ticket sales, venue management, and brand partnerships across a global network. It operates by selling about 30 million tickets per year and hosting around two million fans in its venues, while connecting entertainment and brand partners to audiences through its 30+ brands in 40 countries on six continents. Its differentiated approach comes from a large, integrated ecosystem that combines ticketing, venue operations, and partnerships under multiple brands to reach diverse audiences worldwide. The goal is to be a leading global platform for live entertainment by expanding reach, enriching fan experiences, and maximizing value for fans, venues, and partners.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$100M
Headquarters
Sydney NSW, Australia
Founded
2011

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