Data Science refers to the study of data to extract the most useful insights for the business or the organization. It is the topmost highly demanding field world of technology. Day by day the increasing demand of data enthusiasts is making data science a popular field.
Data science is a type of approach that combines the principles from the fields of students, artificial intelligence, computer engineering, and statistics to analyze a large amount of data. Therefore, in this article, the top 10 data science job profiles are mentioned for data enthusiasts to make their careers.
What is Data Science?
Data Science is the process of studying data and extracting meaningful information for businesses. It combines the practices and principles from the fields of artificial intelligence, mathematics, statistics, and computer engineering.
It is important because it combines the methods, technology, and tools to generate meaningful data. Data science can be studied in four major ways- Descriptive analysis, Diagnostic analysis, Predictive analysis, and Prescriptive analysis.
Top 10 Data Science Job Profiles
There are multiple Data Science Job profiles that are in high demand in today’s world. Some of the Top 10 Data Science Job Profiles are mentioned below:
1. Data Analyst
Data Analysts are the individuals who are responsible for reviewing the data so that they can identify the key information in the businesses of customers. Therefore it is the process of collecting, processing, and analyzing the data to extract meaningful insights and also data analyst support in decision-making processes.
Key Responsibilities
- To maintain the collected data in a simple form and prepare the data for business communication.
- Data analysts are responsible for A/B testing analysis and also perform web analytics tracking.
- They use a statistical approach to visualize and produce the reports.
- Data analysts assess and understand the trends and patterns, and also evaluate the big datasets.
Average Salary
- The average salary of a data analyst is $78,511/ year.
Also follow a complete roadmap on how to become a data analyst to get into this high-paying job.
2. Data Scientist
Data Scientist are the individual who uses the data to understand it. Therefore these data scientist are responsible to collect, analyze and interpret the data to help to drive the decision making. Companies uses the data scientists use to source, analyze and manage the large amounts of unstructured data.
Key Responsibilities
- Data scientist is used to discover the data sources, analyze the information which based on the patterns and trends.
- They automate the procedure of data collection and works on the data pre-processing on the structured and unstructured data.
- Data scientist generates the predictive models and builds the machine learning algorithm.
Average Salary
- An average salary of a data scientist is $135,310 per annum.
Also follow a complete roadmap on how to become a data scientist to get into this high-paying job.
3. Data Engineer
Data Engineer refers to experts who are responsible for maintaining, designing and optimizing the data infrastructure for the data management and transform them. Data engineer are in the change of creating the pipelines to convert the raw data to into the valuable formats for other data scientists to use them.
Key Responsibilities
- Data Engineers are responsible for creating and optimizing the data sets for data business and scientists.
- They suggest improvements to enhance reliable and quality of the models and dataset.
- Data engineers develop the algorithms and the prototypes to convert those data into some useful insights.
Average Salary
- The average salary of data engineer is $136,707 per annum.
Also follow a complete roadmap on how to become a data engineer to get into this high-paying job.
4. Business Analyst
Business Analyst are the people’s who help the organization to fulfil their goals and also assess the organization, analyze the data and improve the systems and processes for the future. They conduct the analysis in order to provide the solutions for the problems in the businesses. They also help to guide the businesses by improving the processes, products and services.
Key Responsibilities
- Business analyst conduct several researches to evaluate in the business models and to develop innovative solutions for the difficult business problems.
- They are expert in allocating forecasting, budgeting and resources in the businesses.
- They apply their statistical methodologies to deliver the accurate outcomes.
Average Salary
- The average salary of Business analyst is $91,372/ year.
5. Data Architect
Data architect are the IT individuals who use their computer science and designing skills to analyze and review the data infrastructure of businesses, plan the databases which needs to be used in future and implement the useful solutions to manage and store the data for the businesses.
Key Responsibilities
- Data architect develops and implement the data strategies to fulfil the business objectives and goals.
- They monitor the implementation and data migration and also deliver a framework for replicating the businesses big data accurately.
- They assure the safety of the data in the database system.
Average Salary
- The average salary of data architect is $135,779 per annum.
6. NLP Engineer
NLP Engineer refers to the Natural processing engineers which consist of the ability to process and analyze the natural language data. These NLP engineer use the computer science, Artificial intelligence and information sciences to develop the programs to understand the human languages. They are responsible for including the natural language data into valuable feature.
Key Responsibilities
- NLP Engineers asses the data science prototypes and convert it.
- They help in designing the natural language processing application.
- They also perform the efficient text illustrations to convert the natural language into the potential features.
Average Salary
- The average salary of NLP Engineer is $119,412 per annum.
7. Machine Learning Engineer
Machine learning Engineer refers to the critical members of the data science team. These engineer tasks are building, researching and designing the AI which are further responsible for the machine learning and improving and maintaining the existing the systems of artificial intelligence.
Key Responsibilities
- Machine learning engineer helps in creating and designing the machine learning systems.
- They develops the data pipelines and the effective models and datasets.
- These engineers also performs the in-depth researches and also implement the tools and ML algorithm.
Average Salary
- They average salary of machine learning engineer is $140,180/year.
8. Machine Learning Scientist
Machine Learning Scientists are the people’s who focuses to design and implement the adaptive algorithms which drives Artificial Intelligence systems which works in the collaboration with the data engineers and data scientists. They builds the autonomous Artificial Intelligence software.
Key Responsibilities
- Machine learning scientist helps in implementing and designing the adaptive models and algorithms.
- They conduct the tests to assess that the software is working effectively or not.
- They also use the data to enhance the performance of the algorithm.
Average Salary
- The average salary of Machine learning scientist is $158,229.
9. Database Administrator
Data administrator refers to the experts who develop and organize the systems who can secure and store a wide range of a data such as customer shipping and financial information. They make sure the databases run effectively and also that the data are available to the authorized businesses and users.
Key Responsibilities
- Database administrator are responsible for keeping the database upgraded.
- The also provide backup process and provide security measures.
- These database administrator performs the debugging of the datasets and assist in generating the databases.
Average Salary
- The average salary of Database administrator is $94,541/year.
10. Business Intelligence Developer
The business intelligence developer are the developer who are mainly responsible in the technical fields of the project which the data engineers can consider them while developing the pipelines and maintaining the BI tools.
Key Responsibilities
- The Business Intelligence developer helps in creating, organizing and maintaining the business interface.
- They are used for performing the data visualizing and performing the regular reports.
- These developer examine the data to provide a detailed outline.
Average Salary
- The average salary of business intelligence developer is $101,478.
Conclusion
Data science help the businesses to grow and gain a potential to transform in the business. There are a lot of career options available in the market in today’s worlds which the people are pursuing to fulfil their goals. Therefore, these are the top most demanding careers in data science which are mentioned in the article. Thus, these job profiles require a well defined Knowledge and a strong background in terms of skills and experience.
FAQs on Data Science Job Profiles
1. What is Data Science?
Data Science is mainly the study of data to extract the important or meaningful information for the company from multiple data’s and uses that meaningful data for the betterment of the company.
2. What is the highest role in data science?
Data Architect is the highest role in the field of data science and the role consists of analyzing and reviewing the data infrastructure of the company.
3. What are the job profiles after doing data science?
Some of the top data science job profiles are – Data analyst, Data scientist, Data engineer, business analyst, NLP Engineer, Data Architect and many more are the fields where a person can show their skills after doing data science.