Data Science Co-Op

DraftKingsBoston, MA
1d$36 - $45

About The Position

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Data Science Engineering Co-Op, you'll join a fast-moving team where innovation and data power everything we do. You'll work side by side with experienced Machine Learning and Data Science engineers to design solutions that drive the customer experience for millions of users. Whether you're optimizing marketing strategies, building recommendation systems, or detecting fraud in real-time, you'll dive deep into complex problems and see your contributions come to life. Here, you won't just observe—it's your opportunity to accelerate your growth in a tech-forward and data-driven environment.

Requirements

  • Pursuing a Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or a related field is required.
  • Strong understanding of statistics and hands-on experience programming in Python.
  • Background in collaborative technical work, either through internships, academic projects, or team-based coursework.

Nice To Haves

  • Familiarity with version control tools such as Git is preferred.
  • Eagerness to explore new technologies, tools, and quantitative approaches.
  • Prior internship or co-op experience in a corporate or technical environment is a plus.

Responsibilities

  • Contribute to the design and development of machine learning systems and data science solutions in production environments.
  • Learn how to build, deploy, and operate scalable technical products as part of an engineering team.
  • Contribute to internal research and development projects, delivering meaningful impact from the start.
  • Work with an assigned team buddy to onboard quickly and effectively integrate with team workflows.

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What This Job Offers

Job Type

Full-time

Career Level

Intern

Number of Employees

5,001-10,000 employees

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