8 Amazing Career Opportunities that you can get after Data Science Training

Blogs

Skills Required

SQL, Deep Learning, Apache, Hadoop, Hive, Spark

Salary $90,0000

4.

Skills Required

Deep Learning Visualization Tools, Tableau Tools

Salary $84,060

8.

Skills Required

SQL, Tableau Tools, Data Visualization tools, R, Scala

Salary $79,593

Conclusion

You must be thrilled after reading about the myriad of opportunities that you can get after successful completion of your Data Science training.

For the most part, data designing and structure of the assignment and ensures that they line up with Merkle MS Standards and Data Integration Model Assets in the Phase-End QA Checkpoints. Utilize the Merkle Subject Area Load and Common Component Data Integration Jobs. Help the progression of the data coordination work stream WBS in the masterminding time of an assignment. Assemble and utilize any additional reusable sections in the midst of an association. They are required to choose data joining server limit influence as a result of undertaking requirements. Support colossal quantities of the data coordination adventure desire to ensure consistency with Architectural Standards in following the much-needed QA checkpoint.

Skills Required

SQL, Deep Learning, Apache, Hadoop, Hive, Spark

Salary
$90,0000

4. Entry-level Infrastructure Research Analyst

As an Infrastructure Research Analyst, one is expected to keep up ordinary contact with the real-estate and infrastructure community especially the like of– banks, financial institutions, legal industry by telephone and email. Keep up and revive a persistent database of system bargains. Research and source new game plans and trades in the regular business. Make articles on the information accumulated after careful dissemination. Prepare data for market and part reports for appropriation. Help the senior analyst with research for pitching the proposals to the clients. Go to industry events whichever are relevant. Associations are always enthused about signing up the candidates with a strong ability to pay special attention to details and the ability to pass on and create a relationship with senior authorities in the infrastructure business.

Skills Required
SQL, Git, DevOps, Data Mining, Statistics

Salary
$82,208

5. The Data Architect

Data is (being assembled) all around the digital landscape and therefore, a consistently expanding number of companies need a professional data architect. Industries like that of banking and FMCG use proficient data architects to consolidate, concentrate, guarantee and keep up their data sources. These architects regularly work with the latest progressions, for instance, Spark and Git ought to be their forte if they have to be the pioneers of their field.

Skills Required

Deep Learning Visualization Tools, Statistics, Spark, Git, Hadoop, Kafka

Salary
$94,742

6. The Data Analyst

Programming Dialects like R, Python, and SQL are a part of the data analysts fundamental learning. Much like the data scientist’s activity, an extensive scope of capacities is in like manner required for the data analysis work, which merges particular and intelligent learning with innovation This profile is routinely looked for by associations, similar to, HP and IBM.

Skills Required

Expertise in R, Python, SQL, Deep Learning Visualization Tools, Statistics
Salary
$68,242

7. The Statistician

The profile of a statistician is many times ignored by or replaced by fancier sounding work titles. This is fairly a pity, given that the statisticians, with their solid foundation in real theories and frameworks, can be seen as the pioneers of the data science field. More often than not, they are the ones who reap the information from the given get data and changes it into significant bits of learning. Statisticians are always rapidly ahead in the new types of progress that are being made in the field of data science and utilize these to benefit their examination.

Skills Required

Deep Learning Visualization Tools, Tableau Tools

Salary
$84,060

8. Machine Learning Data Science Engineer

As a Data Scientist/Machine Learning Expert professional, you will work with a gathering of Data Science specialists who apply diverse cutting-edge AI and quantifiable procedures to certifiable use-cases and give significant bits of information to the business. You will get the opportunity of working with the most perfectly awesome tremendous data examination stages and my enormous proportions of data using distinctive data science tools like R, Python, Spark, TensorFlow, Keras, OpenCV, Hive, etc.

Skills Required

SQL, AWS, DevOps, R, Python, Spark, TensorFlow, Keras, OpenCV, Hive

Salary
$71,758

9. Data Integration Developers

Data Integration Developers/Tech Leads contribute towards the data linking plan and progression of multi-terabyte publicizing courses of action that consolidate and update our client’s data over different sources. An expert data integration engineer enables its clients to almost certainly pass on viable and important information to their customer and prospects over different promoting channels and media. Data Integration Designers can be usually found immersed in the headway and backing of displaying database answers to meet the client’s specific business targets. You will get an opportunity to work with a cross-disciplinary vertical of various divisions of the business verticals.

Skills Required

SQL, Tableau Tools, Data Visualization tools, R, Scala

Salary
$79,593

Conclusion

You must be thrilled after reading about the myriad of opportunities that you can get after successful completion of your Data Science training. These are just the most trending ones, there is a whole lot more to explore. You must have got some idea about the primary skills that these roles demand and a basic average salary that you can expect. Good luck!

Please follow and like us: