To maintain and sustain any job role in the field of Data Science is a bliss in life, not only because it rains money but for the professional stability and experience one gets about technology. Generally people assume only “Data Scientist” is to become by getting in Data Science, but that is completely false. Data Science is vast of a field containing multiple disciplined technologies working efficiently with each other, to each specific technology requires a respective specialist. Which means, working of various specialists of different sectors is mandatory in Data Science.
Let’s see some job roles that Data Science provides:
- Data Scientist
- Data Analyst
- Data Engineer
- Business Analyst
- Applied Machine Learning Engineer
- Analytics Manager
- Data Product Manager
- Big Data specialist
- Project Manager
Trust me, even though they all sound almost same, are very individual in their specific terms.
|Position||Job Description||Salary in Rs||Salary in $||Tools used|
|Data scientist||They find the rational value by processing the datasets. Mostly they resolve the problems regarding businesses.||16 lakh rs||$113,435||SAS for statistics, Apache to handle datasets, MATLAB, Tableau, R programming and Python|
|Data Analyst||They inspect, clean, transform and structure the data to goal discovering the concealed information between patterns of data.||4-8 lakh rs||$67,445||SAS, Rapidminer, R|
|Data Engineer||they handle large scale processing systems like databases, while also maintaining the analytical infrastructure.||8,28,244 rs||$127,878||Hadoop, Scala, Java, C++, SQL|
|Big Data Engineer||One who creates and manages company’s Big Data in infrastructure and tools. Should jumble with datasets and should know the methods to reduce the mountain size data into solution.||7,22,422 rs||$139,463||Hadoop, Hive, ML, scala, Java, Sql, NoSql, C++|
|Business Analyst||They dwell into maintaining Business domain. They document and assess the business related queries with the help of technology. They overall focus on keeping the business steady with the help of data.||6 lakh rs||$74,751||Ms office suite, Google Docs, SmartDraw, SWOT|
|Machine Learning Engineer||They basically be software engineer specialized in machine learning. Their job is to enhance the intelligence of a machine by upgrading them, testing several numerous problems on them.||1,103.K rs||$187,362||Probability statistics, Data modelling, algorithms of AI and ML|
|Analytics Manager||Utilizing the analytics in the business efficiently, working on creative strategy in collecting, modifying, modelling, implying data for products and services of business.||9,12,174 rs||$108,531||AI, Big Data, Cloud, communication skills|
|Research officer||They are required to find rational solutions for any problem bu using tools to research. They should father, build and provide final model of solution for the problems. They schedule the projects regarding the process of researching.||3 lakh – 8lakh in rs||$84,180||Data collection and analysis, qualitative and quantitative, data research, project management.|
|Product Data Manager||They will look after management and publication of product data for every insights regarding the product, they will be responsible.||Average 3.5 lakhs||$85,751||Microsoft visio, Google Drive, analysis tools like pendo, customer survey tools.|
I hope this would help you in understanding about the diversity in one Data Science field.
The salary mentioned in here increases as days passes by, but it is not about the money, it is about the proficiency one would get in fields of authentic working of technology. If you want to be a part of Data Science then Learnbay is one of the best options.
Learnbay is located in the IT hub of India, Bangalore. This feature will help students to invent their future in best place possible, Learnbay is a Data Science training institute along with Machine Learning, Big Data and Artificial Intelligence are also taught. The course structure of Data Science has all the updated essential tools and techniques of field, IBM will certify the aspirants of here.