Data Scientist is the most preferred role in the current world. It is not about the fresher or an experienced one but about the logical thinking, statistics and the extensive programming knowledge they should have. As data is growing very fast with the passage of time , the world is in need of more data scientists to analyze the data. In the data science industry small companies act as vendors to large companies that take their large data and provide bigger picture that makes a lot of sense. Data scientists are big data wranglers. They take an enormous mass of messy data points (unstructured and structured) and use their formidable skills in math, statistics and programming to clean, massage and organize them. Then they apply all their analytic powers – industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover hidden solutions to business challenges. Every company will have a different take on job tasks. Some treat their data scientists as glorified data analysts or combine their duties with data engineers; others need top-level analytics experts skilled in intense machine learning and data visualizations. As data science evolves, data scientists need to constantly achieve new levels of experience and their responsibilities invariably change. Thus there is a lot of scope in this industry.