Data Scientist’s Full Explanation: Definition, Jobs, Skillset

You are aware that business is currently expanding. Accordingly, the use of data in business is also becoming more and more necessary. Data scientists will be among the top 10 most urgently needed jobs by 2022, according to the World Economic Forum. Given the title, it should be obvious that this position involves data.

But what does data science actually mean? The capacity to process data with the intention of developing business strategies is known as data science. People with this skill are known as data scientists in the workplace. So, if you’re interested in data processing and want to work as a data scientist, read on.

What is a Data Scientist?

A Data Scientist is a professional in analyzing, processing, designing data models and algorithms to be interpreted into company plans or actions.

Data scientists often deal with unstructured raw data, so their work requires tools and methods from Statistics and machine learning to streamline data. Of course, after the Data Scientist gets structured data, he will do exploration to find patterns, models, and algorithms which are then atomized. 

Scientist is also often associated as a problem solver and data-driven decision maker, because his job is to provide output in the form of data-based solutions.

A Data Scientist’s job is not limited to providing processed data results, more than that he must also be able to communicate his findings to help companies make better decisions.

Why companies need Data Scientist

Data Scientist is the backbone in a company that has a variety of data with its complexity. Without a Data Scientist, no person can be used specifically professionally to extract, analyze, design and communicate the results of the data found. Of course, it is not easy and cannot be an additional job desk for other divisions, considering that the analyzed data is not always clean and structured. Meanwhile, companies need easy-to-read insights from the data.


processed by Data Scientist will be useful for companies to make wiser decisions and help company growth. Insight from a Data Scientist will have an impact on strategy and improve customer experience and other goals. In the end, the task and function of a Data Scientist is to help companies make more efficient and better data-based decisions.

What are the skills that a Data Scientist must have

When talking about skills, they are divided into hard skills or technical abilities and soft skills to support the way things work. The following are hard skills and soft skills that must be mastered by Data Scientist

Hard Skills

  • Statistical concepts
  • Implementing Node.JS, SQL, and NoSQL databases
  • Implementing machine learning models
  • Implementing experimental designs
  • Implementing cloud-base solutions such as GCP, AWS, and others
  • Implementing deep learning frameworks such as PyTorch, Caffee, Tensorflow, and others
  • Implementation of Big Data platforms such as Hadoop and Spark
  • Application of scripting languages ​​such as Python

Soft Skill

  • Analytical thinking
  • Problem Solving
  • Communication and Stakeholder Management
  • Critical Thinking
  • Teamwork & Collaboration
  • Sense of curiosity

Task of Data Scientist

After knowing what a data scientist is and the difference with other professions, you also need to know the duties of a data scientist. The following are data scientist tasks that have been grouped into certain categories.

Data Collection Tasks:

  • Increase the efficiency of the data collection process.
  • Setting up data infrastructure.
  • Assess data quality and clean data.
  • Assess the effectiveness and accuracy of new data sources and data collection techniques.

Data Analysis Task:

  • Generate valid information from available data sets.
  • Develop processes and tools to monitor and analyze performance and data accuracy.
  • Develop custom data models and algorithms.
  • Identify relevant resources for business needs.
  • Organizes data into a usable format.
  • Develop, implement, and maintain databases.

Data Visualization Task:

  • Identify opportunities by leveraging enterprise data to drive business solutions.
  • Analyze data to spot trends and find answers to specific questions.
  • Create data visualizations.
  • Improve and optimize product development, marketing techniques, and business strategies.

Interested in Becoming a Data Scientist?

So, it can be understood that the job of a data scientist is an expert in charge of processing and analyzing data. The presence of a data scientist can assist companies in making business decisions according to the final data results.

In recent years, job opportunities as a data scientist are also wide open. Especially in companies in the field of technology and data. Therefore, it is not surprising that this profession is in great demand. Especially for IT graduates.

From the explanation above, it can be seen that data scientists need skills in programming languages, mathematics, and qualified statistics. There are quite a few skills that need to be learned. This is what makes you have to keep learning. That way, you have implemented how to become a reliable data scientist.