Data Science Engineer

1 Week ago • All levels • Data Analyst

Job Summary

Job Description

As a Data Science Engineer at DraftKings, you'll leverage data science, machine learning, and software engineering skills to build high-impact sports models. Responsibilities include creating and integrating statistical and machine learning models into applications, expanding model capabilities, writing production-quality code for model deployment, utilizing MLOps platforms, creating automated tests, and collaborating with cross-functional teams. The role requires strong Python proficiency, experience in building sports-related models, and a solid understanding of data science and statistical modeling principles. Experience with Kubernetes and Kafka is desirable. The position is based in London, UK and involves working with a team of sports modeling experts and data science technologists to develop innovative data science products for the Sportsbook platform.
Must have:
  • Strong Python proficiency
  • Experience building sports ML models
  • Understanding of data science principles
  • Production code writing skills
  • MLOps platform experience
  • Collaboration with cross-functional teams
Good to have:
  • Kubernetes and Kafka experience
  • Knowledge of MLOps tools
  • Understanding of Sportsbook products

Job Details

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

As a Data Science Engineer, you'll utilize data, machine learning, and software development skills to craft high-impact best-in-class sports models that grow the business. Our team comprises sports modeling experts and data science technologists, coming together to develop innovative Data Science products that drive measurable value across our Sportsbook platform.

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

#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.

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