Karkidi
Senior Data Science Engineer
Karkidi, Boston, Massachusetts, us, 02298
The Crown Is YoursOur team comprises sports modelling experts and data science technologists, coming together to develop innovative DS products that drive measurable value on the Sportsbook platform at DraftKings. We embrace a culture of curiosity and constant improvement, working collaboratively in a fast-paced environment with industry-leading technologies. As part of this role, you will be a creative thinker, utilizing data, machine learning, and software development skills to craft high-impact best-in-class sports models that grow the business.What you'll do as a Senior Data Science Engineer
Create statistical and machine learning models and integrate them into DS applicationsExpand the capabilities of our American Football models with enhanced granularityWrite production quality code to deploy and run models in a sportsbook platformUtilize our MLOps platform to train and productionise ML modelsCreate automatic tests to ensure model accuracyCollaborate closely with product, developers, QAs, and delivery leads to move projects from ideation to development and deploymentTest that the data flows work as expected and that models are well integrated into the larger business contextCoach and support more junior data scientists within the teamWhat You'll bring
Highly proficient in PythonExperience of building statistical or machine learning models for sportsSolid understanding of data science and statistical modelling principlesExperience with Kubernetes and Kafka is desirableKnowledge of MLOps principles and related tools will be considered an assetFamiliarity with version control conceptsUnderstanding of object-oriented programming principlesPhD, Masters, or Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related fieldKeen interest in sportsUnderstanding of Sportsbook products is desirable
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Create statistical and machine learning models and integrate them into DS applicationsExpand the capabilities of our American Football models with enhanced granularityWrite production quality code to deploy and run models in a sportsbook platformUtilize our MLOps platform to train and productionise ML modelsCreate automatic tests to ensure model accuracyCollaborate closely with product, developers, QAs, and delivery leads to move projects from ideation to development and deploymentTest that the data flows work as expected and that models are well integrated into the larger business contextCoach and support more junior data scientists within the teamWhat You'll bring
Highly proficient in PythonExperience of building statistical or machine learning models for sportsSolid understanding of data science and statistical modelling principlesExperience with Kubernetes and Kafka is desirableKnowledge of MLOps principles and related tools will be considered an assetFamiliarity with version control conceptsUnderstanding of object-oriented programming principlesPhD, Masters, or Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related fieldKeen interest in sportsUnderstanding of Sportsbook products is desirable
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