Overview of Data Science
Have you ever thought of how Google Maps predicts the traffic around you? How does it show you the best route and the mode of transport? How does it show you the time you would require to reach your destination? It’s all with the help of data. When you enable the location feature on your mobile phone, you are sending your real-time location data to Google. Google uses this data, and all such data from other users, to know the number of vehicles on a specific route. Then, it uses this information to predict the traffic on that route. You can make this miracle once you decide on treading in the Data Science career path.
Consequently, we are living in a data-driven world with 4.4 billion users on the Internet. By 2020, it’s estimated that the data generated by every person on earth will be 1.7 MB per second (2.5 quintillion bytes per day).
For managing the enormous amount of data, we need the rockstars of data, called Data Scientists.
So, Data Science jobs are one of the hottest jobs of the 21st century. According to Indeed, the average salary of Data Science experts in India is ₹978,625 and, in the United States, it is US$135,000 per year. Also, Data Science jobs will be in high demand for the next 2 decades with a very bright future.
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Job Profiles in Data Science
You are already aware of the popularity and the salary structure of Data Science jobs. Now, the question is, how to land into your first Data Science job? and what are the different Data Science roles?
First of all, you must know that handling large amounts of data requires a team of experts with specific skillsets. In any organization, a team of Data Science comprises different Data Science job roles with different skillsets. So, there are different types of Data Science jobs. You must know about the different profiles before you go ahead making your careers in Data Science.
Everything in Data Science starts with data. Data Science without data is a train without an engine. A person who maintains and manages the infrastructure of data is a Data Engineer.
Salary Structure: The average salary of a Data Engineer in India is ₹1,270,879 per year.
The responsibility of a Data Engineer is to construct data pipelines to capture data and convert it into a usable form. Also, his/her task is to construct an infrastructure where the data can be stored into and fetched from easily.
A Data Engineer provides data to a Data Scientist for processing.
- Strong software engineering and programming skills
- Knowledge of database systems (SQL and NoSQL)
- Data modeling and ETL tools
- Expertise in R, Pig, MATLAB, Hive, SAS, Java, Python, Ruby, and Perl
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If you are not having an idea about where your business is heading to in the present market, then you are far away from success. This is where a Data Analyst plays a major role.
Salary Structure: The average salary of a Data Analyst in India is ₹875,249 per year.
A Data Analyst’s job is to assist in the analysis of the entire business structure. His/her role is to perform a statistical analysis of the business data and answer questions regarding the growth and extension of the business.
- Data cleaning
- Data visualization
- Understanding of database systems (SQL and NoSQL )
- Mathematics (Statistics and Probability )
Today, the amount of data generated every day is huge. For managing this big data, there is a need for a proper database. A Data Architect is a person who creates the architecture of a database for storing big data.
Salary Structure: The average salary of a Data Architect in India is ₹785,561 per year.
A Data Architect has the responsibility for creating the design and map of a database. He/she helps in protecting, maintaining, centralizing, and integrating various data sources.
- Knowledge of ETL and BI tools
- Understanding of the database architecture
- Data warehousing solutions
- Expertise in SQL, XML, Hive, Pig, and Spark
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Data Science involves the analysis and visualization of data. This is only possible with the help of Statistics. Statisticians thus are the data players in the field of Data Science.
Salary Structure: The average salary of a Statistician in India is ₹489,234 per year.
Statisticians apply statistical theories and methods to understand, analyze, and interpret the available data.
- Good command over statistical theories and methods
- Understanding of data mining and database systems
- Expertise in R, Python, Spark, SQL, SAS, Hive, and Pig
There is always a need for a person who is a master in all the technical processes required to build a product. This highly skilled individual is a Data Scientist. A Data Scientist leverages a wide range of skills that includes strong mathematical skills, data mining, data analysis, data visualization, programming, Machine Learning, and Deep Learning.
If you master these wide varieties of skills then you would have a bright Data Science career.
Salary Structure: The average salary of a Data Scientist in India is ₹978,625 per year.
This Data Science job involves lifting up the raw data to make it structured for analysis. A Data Scientist extracts meaningful insights from data by visualization, then builds predictive models and Machine Learning algorithms for automated systems. Also, he/she helps the organization solve everyday challenges in its real-time projects.
- Data mining
- Data Analytics
- Data visualization (with Power BI or Tableau)
- Machine Learning
- Deep Learning
- Expertise in R, Python, Spark, Scala, SQL, SAS, Hive, and Pig
Database Administrators are the managers of the database. They look into the operations and monitoring of the database.
Salary Structure: The average salary of a Database Administrator in India is ₹686,521 per year.
Tasks of the Database Administrator are to:
- Take care of the security of the database
- Ensure the proper working of the backup and recovery systems of the database
- Ensure the availability of the database to users
- Data modeling and designing
- ERP and business knowledge
- Hadoop for distributed computing
- Knowledge about data security
- Good command over handling database systems
- Expertise in SQL, NoSQL, Java, and Python
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Running a business and holding a grip in the market requires the knowledge of various business processes. For this purpose, companies hire Business Analysts.
Business Analysts are not too much into the technical domain; rather, they work as intermediates between the business and the technology experts. So, their job is quite different from other Data Science jobs.
Salary Structure: The average salary of a Business Analyst in India is ₹1,745,264 per year.
A Business Analyst gathers data about business requirements, client’s requirements, etc. and recommends the operational procedures that are required to drive the product to the client.
He/she helps in magnifying business processes for optimization and also assists in reducing the gap between the technology and the business.
- Understanding of Business Intelligence
- Expertise in various data visualization tools (Tableau or Power BI)
- Data modeling
- Expertise in SQL
If you have any doubts or queries related to Data Science, do post them on our Data Science Community!
Data and Analytics Manager
Data and Analytics Manager leads the team of Data Engineer, Data Analyst, and Data Scientist. He/she also steers data mining and data collection procedures.
Salary Structure: The average salary of a Data and Analytics Manager in India is ₹1,570,869 per year.
This Data Science job has the responsibility to make effective strategies for accumulating data. A Data and Analytics Manager also takes care of data integrity and data quality to be used by the organization.
- Data mining
- Predictive modeling
- Understanding of database systems
- Expertise in SQL, R, SAS, Python, and Java
We have seen all the job profiles that exist in the field of Data Science. Now, we will look at the demand for these profiles in India as of 2019.
I hope with the help of this blog on ‘Different Data Science Job Profiles ’ you now have a clear idea about the multiple Data Science jobs in the IT industry, the skillsets required for these profiles, and their average annual salaries.
Go through this Data Science Interview Questions and Answers to excel in your Data Science interview!
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