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.
What You'll Do
What You'll Bring
The US hourly range for this full-time position is $36-$45, plus bonus, equity, and benefits as applicable. Our salary ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range and how that was determined during the hiring process.
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.
Data Science • Boston, MA, United States