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Senior Data Science Engineer

DraftKings
London
1 year ago
Applications closed

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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.

The Crown Is Yours

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.

What you'll do as a Senior Data Science Engineer

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

Expand the capabilities of our Baseball 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

Coach and support more junior data scientists within the team

What You'll bring

Highly proficient in Python

Experience of building statistical or machine learning models for sports

Solid 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

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

#LI-SM1

Join Our Team

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.

National AI Awards 2025

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