Data Science Engineer

What you'll do as a Data Science Engineer

• Create statistical and machine learning models and integrate them into DS applications 

• Expand the capabilities of our sport models with enhanced granularity

• Writing production quality code to deploy and run models in a sportsbook platform

• Utilise our MLOps platform to train and productionise ML models

• Create automatic tests to ensure model accuracy

• Collaborate closely with product, developers, QAs, and delivery leads to move projects from ideation to development and deployment

• Test that the data flows work as expected and that models are well integrated into the larger business context

What you'll bring

• Strong proficiency in Python

• Experience building statistical or machine learning models for sports

• Solid understanding of data science and statistical modeling principles

• Experience with Kubernetes and Kafka is desirable

• Knowledge of MLOps principles and related tools will be considered an asset

• Familiarity with version control concepts

• Understanding of object-oriented programming principles

• PhD, Masters or Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field

• Keen interest in sports 

• Understanding of Sportsbook products is desirable

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