8 DATA SCIENCE CAREERS THAT CAN SHAPE YOUR FUTURE

In every Era, there is one specific thing around which the whole world revolves. From the Stone Age to the Industrial Age to the current Information Age, mankind has followed this tradition. Data or information is that one specific thing used by people along with powerful technology and the internet today. Data science includes collecting, storing, manipulating, managing, and analyzing data that helps organizations to take big business decisions. There is a huge demand for professionals in the data science field now. The following are the 8 data science careers that can shape your future.

1. Data Scientist: Data scientists analyze small and big data. They further identify, clean and organize big data for companies. They build products like recommender systems used by companies like Amazon or Flipkart. Hence, they use advanced analytic technologies like machine learning and predictive modeling to recognize data fixed data patterns. Moreover, based on a statistical analysis of the data, they help business organizations to make strategic decisions to stand out in the competition. Therefore, if you are willing to play a great role in helping organizations make big decisions, then you should opt for this fantastic career.
2. Business Analyst: Business analysts analyze data based business decision makers. These people have a good working knowledge of the organization and business domains like telecom, retail, marketing, finance, HR, etc. Therefore, their analysis based on data helps in answering questions like “why a product failed?” “How much profit can be made in the coming quarter?” etc. Hence, if you think you are pro in analyzing a particular business field, then business analyst is the best field for you.
3. Business Intelligence Developer: The business intelligence developers are considered as the most respected professionals in the corporate world. They design and create strategies that help in making better business decisions. For this purpose, they use BI analytic tools or develop their own tools for easier understanding of system operations. Further, they also have to develop and enhance IT solutions like coding, designing, testing, etc. Therefore, if you wish to play a coveted role in the business world, then this is the career for you.
4. Data Engineer: Data engineers have a mutual, beneficial relationship with data scientists. The data engineers make the data readable for the data scientists. They not only create and maintain analytics infrastructure but also create data set processes used in modeling, acquisition, mining, verification, etc. Further, they are also engaged in the development, construction, maintenance and testing of architectures like databases, etc. Thus, data engineers improve the quality and quantity of the data by using available or self-created data analytics systems. If you have an eye for details, you should go for this career.
5. Machine Learning Engineer: A machine learning engineer researches and implements appropriate ML Algorithms and tools apart from creating data funnels and delivering software solutions. Further, they design machine learning systems by studying and transforming data science prototypes and selecting suitable data sets and data representation methods. They also ensure to perform repeated machine learning tests and experiments to do statistical analysis of the systems. It would further help them to fine tune their operations based on test results. Machine learning engineers are more in demand due to the growing use of machine learning systems in many fields.
6. Data Analyst: The data analysts manipulate and transform large data sets. Further, they create insightful business reports that help in reducing expenditure and improving the efficiency of the business by using statistical methods to analyze data. Moreover, they work closely with management and collate data. Based on this data, they create models that show customer trends and consumer populations. If you are the one who has a great interest in the statistical analysis of data, then opt for a data analyst career.
7. Enterprise Architect: The enterprise architects work with stakeholders, management and subject matter experts to create, maintain, improve and manage IT architecture models and support systems. Further, they also engage themselves in evaluating a company’s business strategy to create a suitable IT systems structure that supports the business. You should look for this job role if you wish to play a dominant role in the business.
8. Data Architect: As the title suggests, data architects develop data solutions for multi-platform performance. They always ensure to see that database implementations are complying with company policies and external regulations to maintain the security of the database. They further help in identifying and solving issues with database storage and utilization issues.

Therefore, whatever be the career in data science field you choose, it is going to play a very important role in turning the fortunes of a company. Data science is the best field right now and a career decision to take up one of the above-discussed roles can lead you to future success.