DraftKings is seeking a Senior Data Science Engineer to build and deliver extraordinary sports and entertainment experiences. You'll create statistical and machine learning models for sports, integrate them into applications, and expand the capabilities of American Football models. Experience with Python, sports modeling, and data science principles is essential. Knowledge of Kubernetes, Kafka, and MLOps principles is beneficial.

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<div class="css-ey7qxc"><div data-automation-id="jobPostingDescription" class="css-184k0e0">We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. <h2>The Crown Is Yours</h2>Our 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.<div><h2>What you'll do as a Senior Data Science Engineer</h2><ul><li>Create statistical and machine learning models and integrate them into DS applications&nbsp;</li><li>Expand the capabilities of our American Football models with enhanced granularity</li><li>Writing production quality code to deploy and run models in a sportsbook platform</li><li>Utilise our MLOps platform to train and productionise ML models</li><li>Create automatic tests to ensure model accuracy</li><li>Collaborate closely with product, developers, QAs and delivery leads to move projects from ideation to development and deployment</li><li>Test that the data flows work as expected and that models are well integrated into the larger business context</li><li>Coach and support more junior data scientists within the team</li></ul><h2>What You'll bring</h2><ul><li>Highly proficient in Python</li><li>Experience of building statistical or machine learning models for sports</li><li>Solid understanding of data science and statistical modelling principles</li><li>Experience with Kubernetes and Kafka are desirable</li><li>Knowledge of MLOps principles and related tools will be considered an asset</li><li>Familiarity with version control concepts</li><li>Understanding of object-oriented programming principles</li><li>PhD, Masters or Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field</li><li>Keen interest in sports&nbsp;</li><li>Understanding of Sportsbook products is desirable</li></ul>#LI-SM1</div><h2>Join Our Team</h2>We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.</div></div>

Senior Data Science Engineer