Jobs, roles and responsibilities in the field of data science
Data Science universe is not an overstatement. The amount of data created and stored in the last five years easily surpasses all data ever created on earth, thanks to big data. All this data comes with great possibilities. But the potential can be unlocked only by trained personnel – the data scientists. Wait, but data scientist is different right? It is a much loaded term with reference to crazy scientific feats and skills. Well, all the professionals contributing to data oriented roles were called data scientists until very recently, say a few years back. Now, the whole thing has out grown itself – there is a complex network of different job roles that work in tandem to keep this universe made of structured and unstructured data running. Let us take a look at these roles.
Data Scientists are placed at the top tier
A data scientist by today’s standards is a top tier position. Their role in a company is in direct relation with the business process and development.
Responsibilities – A data scientist is tasked with answering business related questions with data driven insights. Hypothesis testing is another important part of their role.
They design predictive models which can sift through large amounts of data and yield insights. They are responsible for putting analytical systems in place which can be set to answer certain question regarding product optimization, consumer satisfaction etc.
Who is likely to become a data scientist?
An MS or PhD in Computer science, Statistics or applied mathematics is best suited for a data scientist role. However, these degrees are not absolutely indispensable. At the end of the day what matters is your expertise with the analytical tools, statistical models, and programming languages.
A data scientist should be well versed in languages like Java, C++, R, Python etc. Intricate knowledge of machine learning, deep learning and other aspects of artificial intelligence is necessary in some cases.
Strong problem solving skills as well as the ability to communicate in simple terms is also required.
Data science training at Bangalore has been preparing candidates as competent data science professionals since the eruption of big data industry in India.
Salary of a data scientist
According to Glassdoor, the average annual salary of a data scientist in India is INR 6, 50,000. But this is a rather deceptive figure because this takes into account various minor roles of junior data scientist, analyst and big data experts. A data scientist can be paid anything between INR 15 lakhs to INR 25 lakhs by the top corporations. However reaching that stature takes time and experience.
Big data analyst
If you want to be in perpetual demand, this is what your job role should be. A big data analyst collects, sorts, analyzes and visualizes data. This data can be structured or unstructured. Your work with the data determines the steps to be taken by the executive body of your company.
Gateway to data scientist
This role is often called the junior data scientist. Your experience and performance as a data analyst determines your possibilities of succeeding as a fully fledged data scientist.
A big data certification can help you land a data analyst job. Great cognitive, analytical and communicative skills are essential for this job role.
Your repertoire should contain big data tools like Hadoop, Spark, SAS and languages like Java, Python, R, etc.
How to train?
There are institutes of data science training in Bangalore that can help you grow as a data science professional. Some universities are offering data science courses but academic training often does not suffice for the industry. Enrol for a data analytics or data science course and take every opportunity to learn new things.
Data Architect – Another indispensable role
A data architect is typically tasked with keeping the structure of the data base in line with the business requirements. These professionals are responsible for the functionality, security and accessibility of data bases.
Enhancing user experience
Data architects analyze developmental problems faced by users or stake holders and engage in solving those problems by coding their way to the solution.
A data architect should have a bachelor’s degree in computer science or related technological stream. A data science certificate can come handy. Experience with SQL is essential.
Other significant roles
There are other roles like data engineer, data base manager, business analyst; all these roles are pertaining to data and its successful management. Data is power which can be realized by its exploration by able hands. The demand for data science professionals is huge and supply scanty. So, take the opportunity to make a difference.