Being in 21st century and aspiring to become a Data Scientist is a dream amongst the young minds. The most popular job in recent times will definitely be being a Data Scientist. There are various opportunities open for this position.
We’ll discuss the role and responsibilities of being a Data Scientist and the major skills necessary to have before hand.
Who is a Data Scientist?
Data scientist is an analytical expert who utilizes their skills in both technology and social science to find trends and manage data. They use industry knowledge, contextual understanding and skepticism of existing assumptions – to uncover solutions to business challenges.
A data scientist’s work typically involves making sense of messy, unstructured data, from sources such as smart devices, social media feeds, and emails that don’t neatly fit into a database.
Roles and responsibilities of a Data Scientist
The Data Scientist is responsible for advising the business on the potential of data, to provide new insights into the business’s mission and through the use of advanced statistical analysis, data mining, and data visualization techniques to create solutions that enable enhanced business performance.
The Data Scientist plays an analytical role where he designs, implements, and evaluates advanced statistical models and approaches for application in the business’s most complex issues.
The Data Scientist plays a strategic role in the development of new approaches to understand the business’s consumer trends and behaviors as well as approaches to solve complex business issues, for example, the optimization of product performance and gross profit.
The role of the Data Scientist is not a lonely role and in this position he collaborates with senior data scientists to communicate obstacles and findings to relevant stakeholders in an effort to improve decision making and drive business performance.
The Data Scientist plays a minor managerial role where he aids in the building of the foundation of state-of-the-art scientific and technical capabilities within the Data and Analytics department in order to support several planned and ongoing data analytics projects.
Skills required for being Data Scientist
Here is a bunch of skills required for being a Data Scientist with any company, which can be listed as
- Machine Learning techniques
- Data Visualization and Reporting
- Risk Analysis
- Statistical analysis and Math
- Effective Communication
- Software Engineering Skills
- Data Mining, Cleaning and Munging
- Big Data Platforms
- Cloud Tools
- Data warehousing and structures