Today’s world is constantly evolving with cutting-edge technology, and the analytics sector is witnessing a sharp increase in demand for highly-skilled professionals who can turn these emerging technologies into actionable insights from big data. Large enterprises and organisations are constantly looking for experts with a data science career path who can understand both the business world and the tech world.
This paves the way for talented youth worldwide to build successful careers in data science. With numerous openings spanning across sectors, data science jobs are Glassdoor’s number 3 best jobs in the USA.
A data scientist represents a broad position from analysts to data visualisers and business intelligence experts. Considered a mix of mathematicians, trend-spotters, and computer scientists, data scientists have various roles and responsibilities.
ALSO READ: Why you should become a data scientist
The booming domain among the top 20 skills in-demand in today’s workforce is data science. Data science career growth is rising with more demand for data analysts and data scientists. Large companies and organisations had to move their operations across digital platforms during the pandemic. This spanned numerous openings for data science in e-commerce.
As one of the industry’s most lucrative jobs, companies are looking for skilled talent and expertise in programming skills, statistics, machine learning, data wrangling, and data visualisation. If you want to know how to start learning data science, start from knowing the basic roles and responsibilities.
The various roles in data science include-
Acting as a trusted advisor and strategic partner to the organisation’s upper management, a data scientist has to ensure that the working staff maximises their analytics capabilities. A data scientist can influence and improve the process of decision-making by communicating and demonstrating the ideals through measuring, tracking, and recording performance metrics and other necessary information.
One major role in the data science career path is to examine and explore the organisation’s data to recommend certain actions that can help to improve the institution’s performance, better engage customers, and ultimately increase profitability.
Driven by a mindset to continuously and constantly improve the value derived from the organisation’s data, a data scientist questions existing processes and the organisation’s current analytics system for developing additional methods and analytical algorithms.
A data scientist must ensure that the working staff is familiar and well-versed with the organisation’s analytics product. By demonstrating the effective use of the system to extract insights and drive action, they prepare the staff to understand product capabilities and address key business challenges.
Candidates aspiring for a career path in data science can choose to be in one of the major positions: data scientist, data analyst, or data engineer. They range from entry-level interns to top-level executives in their respective positions.
Candidates with a proper maths background and desirable skills in programming can start as entry-level interns as a junior data scientist. They are involved in data extraction and collection processes.
After completing a minimum of one year’s experience working with large databases as a junior data scientist, one gets promoted to an associate data scientist. They are involved in data mining and visualisation.
Employees with five years of experience in advanced machine learning and AI are usually considered senior data scientists. They need to work in statistical models and be involved in decision-making.
With 5+ years of experience and expertise in handling data, one can get promoted to a lead data scientist position. They act as mentors to junior and senior levels and involve collaborative activities and team management.
Employers with 10+ years of experience in data handling are responsible for running the company by hiring the right candidates, establishing high standards, and achieving worthwhile goals.
The most basic level or entry-level role in the data science career path in India is a data analyst. Generally working in teams supervised by senior analysts or consultants, data analysts are responsible for-
After a minimum of one year of experience working with large databases as a junior data analyst, one gets promoted to an associate data analyst role. They are responsible for developing VBA applications, aiding business process automation and streamlining, and helping with data validation and sanitisation for various blockchain models.
Employees with 5 years of experience in trend forecasting, modelling, report creation, and knowledge of SQL and basic programming languages are usually considered senior data analysts. They involve building analysis, data visualisations, and multi-functional reporting that provides critical support to the operations and decision-making of the organisation through experimentation.
With 5+ years of experience and expertise in handling data analysis software, one can get promoted to a lead data analyst position. The role involves conducting data analysis to identify patterns and meaningful insights to make recommendations for improvement, as well as providing support to other team members by coordinating, researching, and compiling data.
Candidates with 10+ years of experience in scripting languages and rapid prototyping skills in programming such as SQL, Python, Perl, Java, VB, etc., are considered for the position of head of data science.
YOU MAY ALSO LIKE: How to become a data analyst
Candidates from a maths or computer science background with desirable skills in programming and working with datasets start as entry-level interns as a junior data engineer. They are involved in building database systems, fixing bugs, and creating interfaces.
After completing a minimum of one year of experience working with large databases as a junior data engineer, one gets promoted to an associate data engineer position. The role involves data extraction, coding, frameworks, and preparing ETL processes.
Employees with five years of experience in advanced areas of algorithms and data structures such as Java, Python, and SQL are usually considered senior data engineers. They need to work in data warehousing and ETL tools.
With 5+ years of experience and expertise in handling data, one can get promoted to a lead data engineer position. They act as mentors to junior and senior levels and are involved in collaborative activities and team management.
Employees with 10+ years of experience in data handling are responsible for running the company by hiring the right candidates, establishing high standards, and achieving worthwhile goals.
READ MORE: Difference between a data scientist and a data engineer
MAHE is one of India’s leading education providers to facilitate a data science career path. MAHE’s Master of Science programme at Online Manipal is the perfect blend of machine learning, big data analytics, and statistics for candidates aspiring to build a distinctive career in data science. You can gain experience in various sectors such as predictive modelling, machine learning application, developing strategic and tactical recommendations, and solving problems with real-world data.
The M.Sc. programme consists of four semesters with suitable fee payment of Rs.65,000 per semester and a total of Rs. 2,60,000 for two years.
The eligibility criteria differs for national and international students –
Graduates from a background in statistics, mathematics or computer science with a minimum of 2 years from universities recognised by the Association of Indian Universities (AIU) along with a minimum of 50% of marks or equivalent grade, are eligible to enrol.
Students holding NRI and PIO status, who are residing outside India are considered international students. Graduates from a background in statistics, mathematics or computer science with a minimum of 2 years from universities recognised by the Association of Indian Universities (AIU) along with a minimum of 50% of marks or equivalent grade are eligible to enrol.
The domain of data science is a rewarding career for aspirants. Every step of the role requires persistence, skill in mathematics and statistics with a combination of engineering activities. Every big company, from Apple and Microsoft to Oracle and Walmart, regularly looks for data science graduates. With an advanced degree offered by Online Manipal, you can attain your ultimate goal of becoming a data analyst or a data scientist.
Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.
Additionally, information like fee, eligibility, scholarships, finance options etc. on offerings and programs listed on Online Manipal may change as per the discretion of respective universities so please refer to the respective program page for latest information. Any information provided in blogs is not binding and cannot be taken as final.
Become future-ready with our online M.Sc. in Data Science program
CourseMaster of Business Administration
Bachelor of Business AdministrationBachelor of Computer ApplicationsBachelor of CommerceMBA- Banking and Financial ServicesMaster of Computer ApplicationsMaster of CommerceMaster of Arts in Journalism & Mass CommunicationMSc Data SciencePGCP in Data Science & Machine LearningMSc Business AnalyticsPGCP Business AnalyticsPGCP Logistics and Supply ChainBachelor of ArtsMA in EnglishMA in SociologyMA in Political Science
InstitutionManipal University JaipurManipal Academy of Higher EducationT. A. Pai Management InstituteManipal Institute of Technology
I authorize Online Manipal and its associates to contact me with updates & notifications via email, SMS, WhatsApp, and voice call. This consent will override any registration for DNC / NDNC.
Enter the code sent to your phone number to proceed with the application form
COURSE SELECTED Edit
Bachelor of Business Administration (BBA)
Manipal University Jaipur