Top Data Scientist Skills You Must Have in 2022

 

Introduction 

Data Scientists are big data drivers with a proper and huge skillset. Apart from technical qualifications, you must acquire certain skills for data scientist roles in 2022. Do you want to proceed with a data science career path? If yes, then this guide is for you. Here, we have jotted down the comprehensive skills required for the Data Scientist job role. 

Who is a Data Scientist?

Today, in the modern digital era, every industry and business collects huge sets of raw data. A data scientist is a professional who gathers, cleans, analyses, and visualizes large volumes of data. The data is used to detect patterns and attain valuable insights useful for business strategy and decision-making. The main aim of data scientist jobs is to gather useful insights and information. 

In layman's terms, Data scientists can be defined as experts who design machine learning algorithms that grant business enterprises to analyze their customers and business operations. The job of a data scientist isn't as easy as it seems. A data scientist is held responsible to manage data; hence; in today's business world the demand for data scientists has surged. 

Data Scientist – Future Market Demand 

As per the surveys and research, data scientists will emerge as the most in-demand job by 2026. This job role will further grow in the next decade. By the end of 2022, the data generated every second will be 50 times as compared to 2010. This will surely enhance the demand for data scientists in the future.

Data science is a survey that transforms information into insights. Data scientists are seen as righteous figures in organizations that control analytics through data science. Data science is a career field that is gaining popularity amongst organizations. In the future, many large-scale & small-scale businesses/firms/organizations will use data science to stay ahead of the competition. So, data scientist jobs will stay in the market for more than a decade!

What are the Skills required for a Data Scientist?

There are certain sets of skills that are a must to land high-paying data scientist roles. For your convenience, we have divided the skill set into two categories – a) technical skills & b) non-technical skills.

Technical skills needed for the Data Science Job role:

Python & R

Statistics is the key to data science programming. Hence, you must develop expertise in Python and R language to become a Data Scientist or data analyst. Learning in-depth and hands-on expertise in a programming language is necessary. Professionals in Data Science must be able to build industry use-cases. Data science with Python course helps you to learn programming languages. 

Machine Learning 

Applicants looking to land data scientists jobs must have a deep understanding of data mining, data learning, and pattern recognition. All of this falls under the Machine Learning domain. Other major machine learning concepts needed to be a data scientist are SVM, Neural Nets, Decision Trees, and Clustering. 

Data Visualization

Humans occupy pictorial information faster as compared to words and numbers. You must be expertise in functioning with data visualization tools like Tableau, & Plotly. Data visualization certifies that a data scientist is capable of presenting insights to both technical and non-technical users. 

Hadoop

Data science has to deal with large-scale data analysis, investigating large datasets, data mining, and data-driven innovation. All of which require proper knowledge of Hadoop. Hence, a data scientist applicant must learn Hadoop. Hadoop is an open-source tool for managing large datasets from several different mines. 

Maths & Statistics 

Stats is seen as one of the most key skills for a data scientist. Maths and statistics help data analysts determine how to generate hypotheses, how to make assumptions about variations in data, how to define metrics, and how to measure success from the dataset. Stats also help data scientists to write code and functionalities effectively. 

Non-technical skills needed for the Data Science job role:

Communication

Communication is one of the most important skills to have as a data scientist. Data scientists have to communicate the insights and make the organization understand the business requirements. That is why you must be persuasive to acquire a high-paying data science job role. Communication is a vital skill because it is on behalf of this that technical & non-technical people understand analytical solutions in a clear, concise, and to-the-point manner.

Innovation

Besides leveraging data, a data scientist has to be creative. A great data scientist is expected to be creative with proper & constructive thinking capabilities. You can be a data scientist for a long time provided you acquire an eagerness to learn more. It is a data scientist's innovation that helps an organization determine how much value can a data insight add. 

Team Work 

To be a successful data scientist, one needs to have experience working as a team. Teamwork means the art of collaborating with the teams to understand their requirements. Data scientists have to manage teams and gather feedback for generating beneficial solutions for a company. 

We hope this article has helped you in understanding in depth about top data scientist skills to have in 2022. In case you want to know more about it in detail, you can opt for the courses offered by The IoT Academy.