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We are seeking a Machine Learning Engineer for a role encompassing sports modelling, algorithm development, and both building and utilizing tools to support model evaluation and performance analysis. The ideal candidate will have experience working with traditional statistical learning techniques, probabilistic graphical models, and a deep understanding of data analysis and visualization. Proficiency in R is strongly preferred, as is a demonstrated ability to work with large datasets, develop intuitive visualization tools, and deliver insights to inform decision‑making. A passion for sports, sports analytics, sports betting, and fantasy sports is also beneficial.