“Data scientist” a person having the skill of computing, analyzing, mathematics and database. Many times, you heard “Big Data”. Websites and application like Google, Amazon, Facebook, Twitter, and Netflix have a huge database of information. Data science is dealing with data that makes the products and helps industries to grow.
May be today’s big data will be tomorrow’s medium data and after week’s small data. How to manage database? Where to store data? How to utilize the big data?
Only those company can sustain in future that know how to build data and how to make data products. Data scientist group the data according to problem and requirements. A scientist needs to think out of box to utilize data in a proper way.
According to DJ Patil, chief scientist at LinkedIn (@dpatil), the best data scientists tend to be “hard scientists,” particularly physicists, rather than computer science majors. Physicists have a strong mathematical background, computing skills, and come from a discipline in which survival depends on getting the most from the data. They have to think about the big picture, the big problem.
Some other names for “Data Scientist”
- Financial Analyst
- Recommendation System
- Information Architect
- Artificial Intelligence
- Data Visualization Designer
- Data Mining Specialist
- Social Science Researcher
- Big Data Analyst
- Spatial/GIS Analyst
- Natural Language Programmer
- Computational Physicist
Data scientist should have the knowledge of data visualization, mathematics, statistics, computer science, communication and domain expertise. One can expertise one stream and can work on that but you should have multiple talent to do your job with excellence.