Data Science Engineer (December 2026 Grads)

The Crown Is Yours

As a Data Science Engineer, 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 our platforms.

From building models that enable new product features to uncovering insights that influence strategy, you'll help shape how data drives innovation across the organization. In this role, you'll strengthen your technical foundation while contributing to systems that operate at scale and directly impact our customers.

What You'll Do

• Analyze large, complex datasets to uncover insights and deliver actionable recommendations through exploratory data analysis.
• 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.

What You'll Bring

• 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.