What are the Roles and Responsibilities of a Data Scientist?

Data science is one of the fastest growing industries with high demand for people specialised in the field. It is also one of the highest paying jobs, according to GlassDoor. 

If you are considering to pursue a career in data science and wondering what kind of responsibilities it comes with, then read on to know! Enrol in this online data science course if you want to learn or hone your skills in the field. 

What is data science?

Data science is a multidisciplinary field where data is collected and analysed to draw useful insights and make an impact on a company. It solves real company problems and provides solutions to make tough decisions. 

The impact can be in the form of data visualisations, product recommendation, data products, insights, etc. Companies are having a hard time figuring out what to do with the enormous data they get from their business. That data could be having answers to some of their most difficult problems. 

Only a data scientist can solve these problems by analysing and making sense of all the data. 

Responsibilities of a data scientist:

Being a data scientist can be a rewarding job. But what does a data scientist do?

A data scientist's job is to analyze data for actionable insights by collecting large sets of structured and unstructured data from different sources, cleaning and validating the data to ensure its accuracy and value. 

 

They combine computer science, modeling, statistics, analytics, and mathematics to uncover the answers to major questions that help organizations make objective decisions.

They work with business stakeholders to understand what the business’s goals are and use the data to reach those goals.

 

They collect data by analyzing business results or by setting up and managing new studies.

 

They transfer the data into a new format to make it more appropriate for analysis and presentation. For this, they need to be skilled in programming and coding such as python, which you can learn in the

online data science course at Learn Digital Academy. 

 

They create new experimental frameworks to collect data.

 

Data Scientists use advanced statistical analysis, data mining, and data visualization techniques to create solutions that improve the performance of a business.

 

Data Scientists are not only responsible for business analytics, but also for building data products and software platforms, developing visualizations and machine learning algorithms. 

 

They also work with artificial intelligence technology and create algorithms for it. 

 

In management -  when building scientific and technical foundations in the data and analytics department, a data scientist plays a small role in the management to support ongoing projects.

 

A data Scientist provides an in-depth understanding of the problem and available business data assets on strategic initiatives and value-based programs. In this way, he/she stays on top of the trends in the industry so that they can provide forward-thinking solutions to a business. 

 

A data scientist works with data analytics team, data engineers, product management team, IT department to solve complex business issues.

 

A data scientist experiments new ways with technologies and platforms to draw insights from data to provide innovative ideas and solutions as quickly as he/she can. 

Skills Needed in a Data Scientist:

To be qualified as a data scientist, you need to have an educational background in statistics, mathematics, computer science, economics, machine learning, etc. You can get your diploma degree with this data science course in Bangalore.

You need a lot of brain power and analytical thinking to be a data scientist. Apart from the educational qualifications, a data scientist should have knowledge of - 

• MS office 

• Python

• Hadoop

• A/B testing

• Communicational skills

• Programming skills

• Machine learning

• AI

• Deep learning

Data Science Course: 

At Learn Digital Academy, India’s only agency based institute for training in digital marketing, and graphic design, we also provide a comprehensive 6-month course in data science with more than 8 modules, 2 live-projects for you to work on to gain hands-on experience, 7 capstone projects and international certification. Enrol in the course now and become an expert in data science ready to venture out with confidence!