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Develop and deliver machine learning models (churn, propensity, CLV, recommendations) using large-scale behavioral and transactional data. Translate business problems into modelling solutions, collaborate with engineering, product, and commercial teams, communicate insights to stakeholders, and explore advanced methods (deep learning, sequence models) to drive player engagement and value.

Lead R&D to design and deploy generative models for graphics and video processing. Research and prototype novel methods, build data generation pipelines, collaborate on publications and patents, and support cross-team integration for game rendering and streaming applications.

The Senior Analytics Engineer will design, build, and scale the analytics platform, focusing on data modeling, analytics solutions, and business partnerships to enhance data-driven decision-making.

Lead strategy and execution of analytics and AI/ML products to measure and maximize player lifetime value. Drive cross-team alignment, prioritize roadmaps, define experimentation and modelling standards, and ensure scalable, production-grade ML capabilities are adopted and deliver measurable business impact.