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Last Updated: Dec 30, 2023

Roles and Responsibilities of Data Scientist

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Introduction

Heyy, Ninjas, we are back with another article, i.e., on the Roles and Responsibilities of Data Scientists. Data has become a crucial part of this digital world, where all the sectors of organizations have understood the importance of the data-driven business approach, and as a result, the demand for data scientists is increasing, and we will be discussing their roles and responsibilities in detail.

Roles and Responsibilities of Data Scientists

Before moving on to the roles and responsibilities of Data Scientists, let’s study who is a data scientist exactly.

Also, see -  Locally Weighted Regression.

Who is a Data Scientist

Data Scientist are analytical tech experts that use their knowledge and skills to solve problems with the help of data. They extract data from multiple sources, clean it, analyze it, present it in a cleaner form, and propose strategies and solutions.

Data scientists are the ones who know how to use data in a better way to solve complex problems. They combine practical skills like analysis, math, and coding to get better results.

Data Scientist

Many top-notch companies like Microsoft, Amazon, Oracle, and IBM. etc., where data scientists get a better opportunity to showcase their skills.

There are many domains under the umbrella of a data scientist, which we will discuss before the roles and responsibilities of data scientist.

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What is the Domain of a Data Scientist?

The various project types that a Data Scientist could work on are essentially the Data Scientist domains. Popular domains include:

Data Mining

Data Mining is the application of statistics to reveal patterns in data from the existing data sources. The data scientist will try to solve the problems using models or in other ways.

Data Engineering

Data Engineering is the transforming of data into a useful format for the analysis process.

Data Visualization

Data Scientists present the data in a visually appealing way by providing the solutions for teams and customers based on the requirements. 

What are the Responsibilities of a Data Scientist?

A data scientist gathers a lot of data from different sources, analyses it, and uses tools like Python, R programming, etc., to increase the business's proficiency.

Roles and Responsibilities

 

Some of the primary roles and responsibilities of data scientist are as follows:

  • They analyze large amounts of data to propose solutions.
     
  • They arrange the data in a cleaner form.
     
  • They work with other team members from different fields to develop the strategy.
     
  • Explores different technologies and tools to develop the solution models to run against the data sets.
     
  • Develop algorithms and predicting systems.
     
  • Enhance the Data Science methods and propose solutions for the approval of senior data scientists.
     
  • They collaborate with other IT and Business teams. 

How to Become a Data Scientist

Data Scientists are in great demand nowadays because they are the ones who can turn data analysis into an advantage for their companies.

There is formal training required for the candidate to become a data scientist. Let's see how.

Bachelor's Degree

Earn a bachelor's in the fields like financing, Computer Science, Economics, Statistics, or similar fields related to data science.

Learn Programming Languages and skills

There are some languages that a company specifically looks for in a candidate. Programming Languages like Python, R Programming Language, SAS, and SQL Being able to work with analytical tools like Tableau. Good communication skills are required to communicate their findings.

Certifications and Internships

Gather some certifications related to this field to improve your skill set and start your career journey.

After gathering the required certifications, you can start your career working as an intern to get hands-on experience.

Entry Level Jobs

There are different levels of Data scientists that you will go to in your entire career path. After the internship period, you can start looking for entry-level jobs in  Data science and expand your skills and knowledge.

How can Data Scientists Improve/Contribute to the Company and sSociety?

There are certain areas where data science has improved citizens' lives by providing them with benefits to improve their lifestyles. 

Healthcare advancements

With the increased patient rate, the healthcare system can quickly identify the deficiency, which can help the government to know about the ongoing crisis.

Weather forecasting

With the help of the previous year's data, hundreds of lives can be saved by predicting oncoming storms.

Fraud detection

With the help of AI tools, fraudulent transactions can be identified and rectified.

Image recognition

When more data has been collected, the clarity about it increases. An example of this is an automated vehicle, a self-driving car that can detect the road because of driving at the same place, the image of the road becomes precise.

Gaming

With the help of data collection, the user experience is personalized. The likes and dislikes of a person are taken care of when data is collected.  

What is the Salary of a Data Scientist? 

The average salary of a Data Scientist is 10 lakhs per year.

Salary of Data Scientist

Data Scientist

Average Salary

(1-4 years experience)

₹773,442 per annum

(5-9 years experience)

₹1,367,306 per annum

**The salary mentioned above is only an estimate. The actual salary may vary.**

Skills of Data Scientist 

If you want to select Data Scientist as your career in a Top notch company, then you have to master certain skills.

Skills of Data Scientist

The skills needed are as follows:

  • The candidate should have a bachelor's degree in Computer Science or any other Engineering field.
     
  • A candidate should have proficiency in the following programming languages: Python, R Programming, and database languages such as SQL, Pid, etc.
     
  • Strong proficiency in statistical analysis and mathematical skills like Algebra or algorithm optimization techniques.
     
  • Excellent communication skills are required to explain the proposed solutions.
     
  • Good problem-solving ability and handling the data.
     
  • Good knowledge of Machine Learning Methods and frameworks.
     
  • Strong business-related concepts with a great analytical mind.
     
  • Good to have working experience with analytics tools like Tableau.

Future Picture of Data Scientists 

As you all know, data scientists are in great demand nowadays due to data-driven business. As data grows, the contribution of data science increases which results in the demand for data scientists. In today's world, data is an important part of everyone's life, and the need for data scientists will only increase in the future. Large companies like Amazon, Microsoft, Flipkart, etc., collect data with privacy and process all the information of worldwide users, and all this is ensured by the data scientists. It has endless opportunities in the near future.

So the future picture of a Data Scientist is bright.

Now that you're aware of the roles and responsibilities of data scientist, why don't you look at the top companies to which you should consider applying for the job?

Top Companies for the Role of Data Scientist 

When you want to find the best company to work for as a data scientist, there are a lot of things that you need to consider.

Top companies for the role of Data Scientist

Below are some of the top data science companies to work for.


Note: Apart from the above-mentioned companies, there are many other companies which are good for the role of a Data Scientist.

Check out Wipro Interview Experience to learn about their hiring process.

Let us now answer some frequently asked questions.

You can also check out Data Analyst vs Data Scientist here.

Frequently Asked Questions

Who is a data scientist?

Data Scientists are analytical experts that use their knowledge and skills to solve problems with the help of data.

What is the role of a data scientist?

The main role of a data scientist is to extract data from multiple sources, clean it, analyze it, present the data in a cleaner form and propose strategies and solutions.

What are the top companies for a data scientist to work with?

There are many top companies for which a data scientist can work, like Cloudera, Amazon, Microsoft, IBM, Oracle, and many more.

Will data scientists be in demand in the future?

Yes, with the growing demand for data in our digital world, the demand for data science in various fields raises the demand for data scientists.

What is the difference between data scientists and data analysts?

Data Scientists are the ones who find new ways to collect and analyze large amounts of data. In comparison, data analysts analyze existing data to utilize it for solutions.

Conclusion

This article briefly describes the Roles and Responsibilities of Data Scientists. We went through the responsibilities of a data scientist with salary, skills, and experience required, a career path, the future scope of a data scientist, and the top companies for the role of a data scientist. 

We hope this blog has helped you learn more about Data Scientists. If you like to learn more, you can check out our articles: 

  1. Data Scientist at Lenskart
  2. Data Scientist at Facebook
  3. Data Scientist at IBM
  4. state space search in artificial intelligence
     

Check out The Interview guide for Product Based Companies and some of the curated problem lists from Top companies like AmazonAdobeGoogleUberMicrosoft, etc., on Coding Ninjas Studio.

You can also consider our online coding courses such as the Data Science Course to give your career an edge over others.

Happy Learning!

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