Domain Knowledge: Understanding the specific industry or field is crucial. It helps data scientists ask the right questions and make informed decisions based on context.
Math & Statistics Skills: A solid grasp of mathematical concepts and statistical methods is essential for analyzing data, making predictions, and validating results.
Computer Science: Proficiency in programming and algorithms enables data scientists to manipulate data efficiently, build models, and implement solutions.
Communication and Visualization: The ability to communicate findings clearly and visually is vital for conveying insights to stakeholders and driving data-driven decisions.