Data Scientist (Brooklyn Nets - Basketball Operations)

The Brooklyn Nets Basketball Operations department is seeking a passionate, creative, and highly analytical Data Scientist to help advance the organization's basketball analytics capabilities. This role is dedicated exclusively to supporting the Brooklyn Nets Basketball Operations team and will develop, deploy, and continuously improve predictive models, analytical frameworks, and data visualization tools that directly influence basketball decision-making across the organization.

What You Will Do

Enhance and improve existing player evaluation models while developing new predictive metrics that support basketball decision-making across the Basketball Operations department. Design, develop, deploy, and maintain machine learning models that generate actionable insights for roster construction, player evaluation, scouting, player development, and game strategy.

Why It Might Be a Fit

This role requires both strong machine learning expertise and a deep passion for basketball, along with the curiosity to challenge existing methodologies and introduce innovative approaches that push the organization forward. The successful candidate should expect to work non-conventional hours aligned with the Brooklyn Nets basketball calendar, including evenings, weekends, holidays, training camp, preseason, regular season, postseason, NBA Draft, Summer League, free agency, and other key Basketball Operations events.

Requirements

• 3–7 years of professional experience in data science, machine learning, predictive modeling, or a related analytical field.
• Bachelor's degree or higher in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative discipline, or equivalent practical experience.
• Demonstrated experience developing, testing, and deploying complex machine learning models.
• Strong programming skills in Python, R, and SQL.
• Experience with modern data science libraries including Pandas, NumPy, Scikit-learn, XGBoost, PyTorch, TensorFlow, or similar frameworks.
• Experience working with large, complex datasets and production machine learning environments.
• Experience using GitHub, version control, and collaborative software development practices.
• Strong analytical thinking with exceptional attention to detail.
• Ability to communicate complex analytical concepts to both technical and non-technical audiences.
• Excellent written, verbal, and presentation skills.
• Strong curiosity, creativity, and passion for identifying new basketball metrics and analytical approaches.
• Demonstrated ability to thrive in a fast-paced, collaborative, and continuously evolving environment.
• Genuine passion for the NBA and the game of basketball.

Benefits

• Salary Range: $150,000-$170,000
• Benefits