Data Scientist at DAZN
Job Description
We are transforming the way Foxtel delivers customer value through data-driven decision making. We are looking for a motivated Data Scientist, with a love for Sports and Entertainment, to solve material Foxtel commercial and customer problems by applying data science and leveraging modern AI tools.
As a core member of the Foxtel Data & Analytics team you will be essential in the successful delivery of Data Science outcomes across the business.
You will be trusted to work both independently and in collaboration with teams across the business to unpack complex business problems, interrogate data, and deliver actionable insights.
This is a great opportunity to accelerate your career by taking end-to-end ownership of analytical projects and directly influencing business decisions.
- Contribute to the development and implementation of the Data Science Roadmap by leveraging knowledge of business objectives and current data and analytics capabilities
- Utilise best practices, emerging trends, market context and professional networks to inform and shape data science strategy
- Identify capability gaps and develop innovative solutions to address them, maintaining an up-to-date catalogue of Data Science services
- Develop, manage and apply a comprehensive catalogue of Data Science services that maximises internal capabilities and reduces reliance on external providers
- Proactively design and create new Data Science services in anticipation of future business needs
- Build strong stakeholder relationships through an embedded-services approach, positioning yourself as a trusted member of their team
- Deliver accurate, practical and timely Data Science solutions that meet best practice standards
- Clearly communicate commercial impact and provide actionable recommendations alongside all Data Science outputs
- Lead and continuously improve team processes and ways of working to exceed best practice standards
- Drive innovation across Data Science delivery by staying ahead of industry developments and translating them into tangible business value
- Undergraduate degree in Statistics, Machine Learning, Mathematics, Actuarial Studies, Computer Science, Economics, or a related quantitative field highly desirable
- 2+ years as a Data Scientist with a proven track record of delivering solutions that generate material commercial impact
- Extensive hands-on experience across supervised and unsupervised ML techniques, including deep learning, neural networks, regression (linear, logistic, polynomial), classification, k-means clustering, NLP, Bayesian inference, and explainable AI.
- Strong ability to select and apply the right quantitative approach for each problem, including experimental design, A/B testing frameworks, and appropriate performance metrics to clearly demonstrate business impact.
- Advanced programming skills in Python and/or R, with experience delivering well-architected, production-ready code using version control (e.g., Git) and distributed computing via Spark or cloud-based platforms.
- Comfortable working iteratively within cross-functional teams, delivering MVPs rapidly, incorporating feedback continuously, and refining analytical solutions in an agile environment.
- Confident engaging with senior leadership and business executives to define problem statements, present findings, and translate complex analytical outputs into clear, actionable commercial insights.
- A calm, results-driven, and approachable professional who can manage multiple priorities under tight deadlines