Role of Data Science Manager in an Organization

0
773

Data science is a field associated with analytics and big data. The person who manages the overall process is called the data science manager.

The data science manager has a significant role in the organization for the betterment of the organization. Big data analysis is a complicated task and required skill and practice. Without sufficient experience, the process is much difficult to perform. The manager should be capable to direct the whole team and filter the valid data from the bulk data resource. The data science managers have a crucial role in the achievement of an organization. They are always set their objective at the final goal and they just try to achieve the same. Most of the organizations utilize the support of data science managers such as financial institutions, insurance, consulting firms, healthcare, etc.

The market prediction by using scientific technology and the data is the major part of the data science manager’s duty. The result directly influences the organization’s future. So the manager should be capable to perform the process accurately.  Now it’s a great opportunity for the data science experts and most of the organizations prefer the post. In India, Data Science Manager’s average salary is INR 25, 55,956.

Most of the successful organizations having their own data science team for forecasting the future market. Example: Merkle, Honeywell, Amazon, Novartis, JP Morgan, etc. The organizations utilizing the opportunities of data science to enhance their future operation. In different sectors having their objectives.  Each of the organizations having its agendas and they are choosing the data science team to satisfy their requirement. The basic requirements are to analyze the events, previous histories, political, economic, social, and technological. Legal, environmental and ethical factors and as per the result make significant changes in their strategy to improve the organizational quality.

The manager should be expertise in software development.  Accuracy, flexibility, and speed are the major part of a data science manager. The requirement may differ as per the organization, the environmental or social changes influence the different sectors indifferently. So the data science manager is always flexible and adapts to the situation and deciding as per their results.