Key Responsibilities

• Develop bespoke and automated analytics to support data-driven decisions across marketing, product, and content teams.
• Build data products that:
• Measure and optimise acquisition efforts
• Fuel growth and drive conversion
• Increase engagement, improve retention
• Maximise Customer Lifetime Value (CLV)
• Apply a variety of machine learning techniques to:
• Personalise customer communications at scale
• Increase impact and efficiency of marketing
• Enable data-driven decisions in content creation, acquisition, and scheduling by:
• Predicting content appeal and popularity
• Calculating content similarity
• Creating algorithmic genre classifications
• Own ML algorithms, track and improve their performance, and maintain a library of ML solutions
• Collaborate with the Data Management & Engineering team to:
• Automate ML processes
• Set up ML pipelines in production
• Ensure data accuracy and improve data quality
• Design and execute A/B tests and conduct causal analysis
• Manage independent projects, set your own timelines, and work autonomously
• Act as a data advocate, enhance data literacy across teams, and guide stakeholders
• Demonstrate an entrepreneurial mindset—own your work and identify new analytics opportunities
• Influence and shape the Advanced Analytics roadmap

🔹 What You’ll Bring

• Solid experience in an analytics or data science role
• Extensive SQL expertise – essential for handling large volumes of data
• Proficiency in Python (preferred) or other statistical tools like R or SAS
• Experience with machine learning techniques that drive commercial results
• Strong grasp of statistical concepts and advanced techniques, such as:
• Regression analysis
• Dimension reduction methods
• k-NN, SVM, Decision Forests
• Experience with A/B testing and statistical experimentation
• Production-grade scripting and data pipeline development
• Preferred: Hands-on with BigQuery, Vertex AI, and Google Cloud Platform (GCP)
• Background in streaming, entertainment, or subscription-based services is a strong plus
• Excellent communication—able to convey findings to technical and non-technical audiences
• Strong focus on impact, customer experience, and business growth
• Flexible and pragmatic approach to problem-solving
• Ability to thrive in ambiguous environments and tackle challenging problems independently