Role overview
I am partnered with a company who have built a technology platform that provides the end to end orchestration of data, systems and applications to manage connected spaces as an integrated technology platform.
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.
What you'll work on
- 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
What we're looking for
- 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 Snowflake
- Knowledge of MLOps (MLflow and Kubeflow)
- Tools: PyTorch, PySpark, Tensorflow, Time Series
Tags & focus areas
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