Senior Data Science Engineer

DraftKings Inc. • Boston, MA

2d

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 Senior Data Scientist Engineer, you'll join a high-impact team solving some of the most complex analytical challenges in sports and entertainment. You'll work closely with machine learning engineers to develop new product capabilities and uncover insights from massive datasets using our advanced infrastructure. In this role, you'll apply advanced analytics and machine learning to create innovative solutions that drive business outcomes and shape the future of our products.

Requirements

• Bachelor's degree or advanced degree in Data Science, Computer Science, Statistics, or related discipline
• Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts.
• Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms.
• Ability to independently structure and execute data science projects and deliver business value through production-ready models.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.

Responsibilities

• Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment.
• Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement.
• Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems.
• Mentor junior data scientists and share modeling and engineering best practices across the team.
• Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees