Data Science Career Opportunities - Data Science Job Opportunities in Top Companies

There is an immense demand for Data Science professionals across different industries such as Finance and Insurance, Professional Services, and IT. Read on to know more about Data Science career opportunities and top recruiters. 

The journey of Data Science has been interesting. From being an unattended territory to the most sought after domain, Data Science Courses has really come a long way. There is an immense demand for Data Science professionals across different industries such as Finance and Insurance, Professional Services, and IT.

Data Scientist has been named as the best job in America since 2015. This Google Trend is an absolute example of how the interest of professionals has gone up in the past 6 years.

Fig – A graphical representation of increasing user’s interests in Data Science over 6 years

Why Choose Data Science?

Reasons why Data Science Courses & Certifications have been topping the charts of professionals for the past few years include -

• Growing demand for data scientists and analysts
• Great remunerations
• Involvement in strategic decision-making of businesses
• Job opportunities in varied fields
• Ease of job hunting

1. Data Scientist

Businesses are relying hugely on data and analytics to drive decision-making. These businesses are largely dependent on artificial intelligence and machine learning for their strategic planning, and thus require skilled and knowledgeable professionals to organize and analyze large amounts of data. Data scientists are responsible to discover important insights from both structured and unstructured data, and help businesses to achieve their goals. 

According to PayScale.com, the average pay for a Data Scientist, IT is Rs. 619,270 annually, as of 2019.

2.  Data Analyst

Data analysts collect, process, and perform data analysis. Businesses need them to translate sales figures, market research, logistics, or transportation costs in plain English. They regulate, normalize, and calibrate the data so that it can be easily extracted and used. Data analysts work with data scientists, IT, as well as management teams to ensure clear data visualizations. These professionals are also required to create data dashboards and graphs, while producing and tracking key performance indicators. Employment opportunities for data analysts are immense and jobs are available in both private and public sectors.

As of 2019, the average pay for a Data Analyst is Rs. 362,371 per year.

3.  Data Engineer

Data engineers the ones who build massive reservoirs for big data. Apart from developing, constructing, testing, and maintaining databases and data processing systems. Precisely, they build data pipelines, which pull information from various source systems. They then integrate, consolidate and structure the data for various applications.

The average pay for a Data Engineer as of 2019 is Rs. 826,150 per year.

4.  Data Mining Engineer

A data mining engineer’s job profile include examining big chunks of data from the organization they are working for, along with that of third parties. Apart from data analysis from both unstructured and unstructured information, a data mining engineer also create algorithms to expedite the data analysis process. Besides, they also build and maintain software infrastructure and use programming or scripting languages to develop and initiate big data solutions.

The average pay for a Data Mining Engineer as of 2019 is Rs. 510,000 annually.

5. Data Architect

A popular profile, which Data Science professional enter into, is data architect. They are responsible to create blueprints for data management systems after analyzing data sources and identifying structural and installation solutions. They are majorly responsible to design and implement effective database solutions for storing and retrieving company data, assess database implementation, improve the database systems, perform troubleshooting, integrate new features, and prepare reports, among others.

PayScale.com suggests that the average payout for a Data Architect is Rs. 1,823,888 per year, as of 2019.

6. Statistician

Another popular profile is that of a statistician, where the data is extracted from databases by using statistical methodologies and tests. Statistical learning is considered a fundamental ingredient in Data Science, which helps in analyzing, organizing, and contextualizing the data. Linear regression, subset selection, discriminant analysis and classification are some of the important aspects of machine learning and data science. A statistician is responsible to ensure the quality and the validity of the conclusions after the data has been gathered.

As of 2019, the average pay for a Statistician is Rs. 472,939 per annum as per PayScale.com.

7.   Program/Project Manager

Since standard project management techniques do not work well for analytics projects, so to achieve success as a project manager in analytics, there is need to gain expertise that can contribute to the role.  A program/project manager is responsible to influence business decisions after they use and evaluate the data and insights provided to them by different company sources. Program/project managers need to manage budgets, guide project execution, and manage and communicate changes by balancing project constraints.

The average pay for a Project Manager, Information Technology (IT) is Rs. 1,321,351 annually, as of 2019.

Every business across the globe has started to capitalize on data and new big data technologies to gain value and add more value. Market experts suggest taking up advanced level certifications to remain more relevant, competitive, and have a well-paid career in this highly competitive world. However, you need to possess some skill sets, mandatory for having a career in Data Science, such as:

• Write codes and be comfortable handling a range of programming tasks
• Ability to deal with large volumes of data
• Hands one experience working with real-time data, cloud computing and unstructured data
• Expertise in mathematics to understand statistical aspects and develop statistical models
• Creative thinking to adapt new approaches of data science and analysis
• Knowledge of using automated tools and open source software

Top companies in India and abroad have been hiring Data Science professionals and offering them some attractive remuneration packages, some of them include –

• Amazon
• Accenture
• Deloitte
• LinkedIn
• IBM
• Citrix
• Flipkart
• MuSigma
• Myntra
• Dexlock
• Rudder Analytics