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Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment…
Owns translating data/analytics roadmaps into executable epics, ensuring cross-team visibility and program rhythm without directing sprint work or managing engineers.
Owns high-complexity data product definition for lottery/gambling tech, ensuring quality from problem framing to handoff. Leads cross-functional collaboration with Data Science/ML and Platform Engineering, sets standards for product specs, and manages deployment decisions (Databricks vs. Teams/Dynamics).
Build self-service ML platform tooling and golden paths from the ground up, enabling Data Scientists to independently deploy models to production across batch and real-time use cases using Python, PyTorch, TensorFlow, Kubernetes, and MLflow.
Senior Data Scientist building end-to-end production decision systems—forecasting, optimization, pricing, and batch/real-time recommendations—using Python, PyTorch/TensorFlow, and SQL at a lottery and sports-betting company in Toronto.
Design and build a machine-learning platform that lets data scientists deploy, monitor, and roll out models on their own, using cloud-native tools and Kubernetes.
A senior data scientist builds and deploys forecasting, optimization, and recommendation systems for lottery and gaming products, using Python, SQL, and cloud tools.
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