The study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.
Hands-on experience with data science tools
Problem-solving aptitude
Analytical mind and great business sense
Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.