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 Manager, you'll lead a high-impact team that powers the personalized experiences for millions of customers. You'll manage a group of talented data scientists and engineers, guiding projects from concept to production and ensuring the delivery of scalable, high-performing machine learning systems. In this role, you'll collaborate across Product, Engineering, and other business functions to align priorities and drive measurable outcomes. Beyond execution, you'll shape strategic direction, foster a culture of innovation, and elevate technical standards across the organization.

What You'll Do

• Lead, manage, and mentor a team of data scientists and engineers focused on delivering impactful personalization initiatives.

• Guide your team through the Software Development Lifecycle (SDLC), championing technical rigor and engineering best practices.

• Partner with Product, Engineering, and business stakeholders to scope projects, prioritize work, and deliver high-value, data-driven solutions.

• Foster a team culture of collaboration, experimentation, and continuous improvement.

• Conduct regular performance evaluations, deliver constructive feedback, and identify opportunities for growth and development.

• Set strategic priorities and align your team’s roadmap with larger business goals and outcomes.

• Promote software engineering and MLOps best practices, including automation, containerization, monitoring, and testing.

• Stay current on trends in machine learning, personalization, and gaming to continuously evolve our capabilities.

What You'll Bring

• Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field; advanced degree preferred.

• At least 5 years of experience in data science or machine learning engineering, including 2 or more years in a formal leadership or management role.

• Proven expertise in Python and SQL, with experience working across modern data platforms and cloud environments.

• Strong understanding of the Software Development Lifecycle and experience leading teams through delivery cycles.

• Hands-on experience with machine learning systems, statistical modeling, and experimentation frameworks.

• Deep familiarity with DevOps and MLOps concepts, including containerization, automation, and production monitoring.

• Exceptional communication and collaboration skills, with the ability to influence cross-functional teams and executives.

• Experience in the gaming industry or a related domain is a strong plus.

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.

The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates 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 pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.