Data Scientist

I am partnered with a company who have built a technology platform that integrates platforms across connected spaces. The platform allows operators of those spaces to have insights into customer behaviours, of which that data then can be used to make business decisions. They are looking for a Data Scientist to join their Platform Team and lead the development of advanced analytics and predictive modeling in the sports and entertainment venue space. As an early hire on this team, it will allow you to design and implement machine learning models that will use real time data and make an impact from Day One. Responsibilities Develop predictive models for fan behaviour including attendance prediction, purchasing patterns, and personalization using advanced ML techniques Build real-time scoring engines for pricing and targeted marketing Implement feature engineering pipelines Design frameworks, including A/B testing and casual inference Lead statistical analysis and create reports Qualifications Masters or PhD in a STEM related field 3+ years experience in building and deploying Machine Learning models into a production environment Experience in using Real Time Data Experience with Azure and Databricks Knowledge of MLOps (MLflow and Kubeflow) Tools: PyTorch, PySpark, Tensorflow, Timer Series

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