DATA SCIENTIST

A data mortal is answerable for gathering, and decoding extremely quantity of knowledge. The data scientist's play the role of many ancient technical roles, together with statistician, scientist, scientist, and laptop skilled.

RESPONSIBILITIES

1. Collect and store data
2. Process the data
3. Clean the data
4. Integrate data
5. Investigate data
6. Exploratory data analysis
7. Choose potential models and algorithms
8. Apply data science techniques, such as machine learning, statistical modelling, and artificial intelligence
9. Measure and improve results
10. Present results to stakeholders
11. Repeat the process to solve problems
12. Ask the right questions to begin the discovery process and finish the final process.

SKILLS

1. Data scientists should have at least a Master’s degree with the subjects of Mathematics and Statistics Computer Science and Engineering. These courses will give you the skills to understand the process and analyze of big data.  
2. For data science R is generally preferred. R is specifically designed for data scientists.
3. Must be comfortable with python.
4. Second most important skill for a data scientist is Apache Hadoop
5. Al tough NoSQL become a large component of data science, yet it is expected that a candidate will be able to execute complex queries in SQL.
6. Data scientist must be known of  machine learning techniques such as supervised machine learning, decision trees, logistic regression etc. which will help businesses to solve different data science problems that are related to predictions of major organizational outcomes.
7. Data scientist, must be able to envision data so must have knowledge of tools such as ggplot, d3.js and Matplotlib, and Tableau
8. Data scientist should be able to work with unstructured data
9. Data scientist can clearly communicate and fluently translate their technical researchers to a non-technical teams, such as the Marketing or Sales departments.
10. A data scientist has to work with company executives, product managers, and designers to develop strategies and create better products.
11. They have to work with marketers to launch better-converting campaigns. They literally have to work with everyone in the organization, including customers.