What are the responsibilities of a Data Science Professional?

 

Introduction

The period of Big Data has come into force in the data domain, with enterprises dealing with petabytes and exabytes of data. However, it becomes difficult for industries to store data until 2010. Now that popular frameworks such as Hadoop have conquered the storage barrier, the emphasis has shifted to data processing. This is where Data Science comes into effect. Nowadays, data science is growing in several ways, and one should be ready for the future by studying what data science is. So, if you have a keen interest in making a career in this growing domain, Data Science Online Training is the best bet for such individuals.

Data Science: Meaning

Data science is a broad term that encompasses methods, procedures, algorithms, and systems for analyzing data and extracting hidden insights.

Although data science can mean many things to different individuals, in general, data science is the use of data to answer problems. However, it is the study of raw data using statistics and machine learning techniques to derive inferences about that information. Though there are many people involved in data science, but data scientist or data science professional is one who understands how to extract insights from data through the use of various procedures, methods, systems, and algorithms. Thus, to make informed judgments, data scientists must be able to analyze, interpret, and display data. They have a responsibility to provide viewpoints that go beyond statistical analysis. Moreover, data scientist roles are available in the public and commercial sectors, such as banking, consulting, manufacturing, pharmaceuticals, government, and education.

Roles & Responsibilities of Data Scientist

Data scientists or Data Science professionals work collaboratively with business executives and other significant professionals to understand organizational goals. They also develop data-driven strategies to achieve those goals. Moreover, a data scientist's role is to collect a vast quantity of data, analyze, sort out the crucial information, and then use tools like SAS, R programming, Python, and others to extract insights that you may use to boost the business's productivity and efficiency. Furthermore, data scientists can take on several tasks and duties depending on the demands of their company. These responsibilities include:

1. Gather information and locate data sources
2. Make use of data visualization techniques and technologies.
3. Look into new technology and techniques for building unique data strategies.
4. Tend to create complete analytical solutions, from data collection to visualization;
5. Help in the development of data engineering pipelines
6. As required, these professionals assist the data scientists, BI developers, and analysts team with their initiatives.
7. They also help the sales & pre-sales teams to reduce costs, estimate effort, and optimize costs.
8. Stay current on the latest tools, trends, and technologies to improve overall effectiveness and performance.
9. Work with the product team and partners to develop data-driven solutions based on innovative concepts.
10. Create business analytics solutions by mixing multiple tools, applied statistics, and machine learning.
11. Conduct talks and evaluate the viability of AI or ML solutions for business processes and results.
12. In order to guarantee successful data utilization, architect, deploy and monitor data pipelines, and hold knowledge exchange sessions with their peers.

Conclusion

To conclude, we have compiled the different responsibilities of data scientists or data science professionals in this article. These responsibilities make the data science individual key personnel of every organization for statistical analysis.