To thrive as a Nike Data Science professional, you need a solid foundation in statistics, machine learning, and programming (often with a relevant degree in data science, computer science, mathematics, or a related field). Proficiency in technical tools such as Python, R, SQL, and cloud computing platforms, as well as familiarity with big data frameworks and data visualization tools, is highly valued. Strong communication, problem-solving, and collaboration skills help you present insights and work effectively within cross-functional teams. These abilities are crucial for using data strategically to drive decisions and innovation across Nike’s diverse, data-rich business environment.