Data Science Engineer (December 2026 Grads)

About the position

As a Data Science Engineer at DraftKings, you’ll join a high-impact team tackling complex analytical challenges across sports and entertainment. You’ll work alongside Machine Learning engineers and cross-functional partners to turn large, complex datasets into scalable, production-ready solutions that power the company’s platforms. You’ll help build models for product features and uncover insights that influence strategy, contributing to systems that operate at scale and affect customers. The role also offers an opportunity to strengthen your technical foundation while advancing data-driven innovation across the organization.

Responsibilities
• Analyze large, complex datasets through exploratory data analysis to uncover insights and deliver actionable recommendations.
• Design, develop, and evaluate quantitative models using machine learning and advanced analytics techniques.
• Build and optimize scalable data pipelines and algorithmic engines that power product features and internal tools.
• Partner with Machine Learning engineers and cross-functional stakeholders to translate business needs into data-driven solutions.
• Contribute to model deployment, performance monitoring, and continuous improvement in production environments.

Requirements
• Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
• At least 1 year of professional experience in Data Science, Machine Learning, or a related technical role.
• Proficiency in Python, including experience with libraries such as pandas, NumPy, and PySpark.
• A solid foundation in statistics, probability, and applied analytical methods.
• Experience working with complex datasets and integrating data from multiple sources.
• Ability to translate business problems into clear technical approaches and communicate results effectively to cross-functional partners.