Senior Data Science Engineer

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DraftKings

Create statistical and machine learning models and integrate them into DS applications
Collect and engineer sports data assets to assist in model development
Implement the sports models and pricing engines in Python
Create automatic tests to ensure model and pricing engine accuracy
Collaborate closely with product, developers, QAs and delivery leads to move projects from ideation to deployment
Test that data flows work as expected and that models are well integrated in larger business context
Research the different sport’s specifications and rules
Coach and support more junior data scientists within the team

Highly proficient in at least one programming language, ideally Python
Experience of building statistical or machine learning models for multiple sports
Understanding of data science and statistical modelling principles
Experience with Kubernetes and Kafka are desirable
Knowledge of MLOps principles and related tools will be considered an asset
Keen interest in sports, particularly tennis
Self-learner who is open to learning new things
Familiarity with version control concepts
Understanding of object-oriented programming principles
Understanding of Sportsbook products will be considered an asset
PhD, Masters or Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field