How 2 get Hired in Data Science Domain?

Data Science Domain

Getting hired in the data science domain is easy when you take the proper steps.

In 2012, when Harvard Business Review published an article saying, “Data Scientist is the Sexiest job of the 21st Century”, professionals in India had no idea what they were talking about. After 10 years, today, in 2022, here we are, talking about data analysis & data science more than anything.

With the rise of data, new jobs are in demand, requiring people to work on data and extract valuable insights to help their company generate more revenue.

There are various job profiles in the data domain that you can prepare for. these job profiles are:

  • Data Analyst
  • Data Scientist
  • Data Warehouse Manager
  • Data Engineer
  • Data Consultant
  • ML Engineer
  • BI Analyst

The best thing about data science jobs is that you don’t need a techie to be a data professional. In data jobs, certain things don’t really matter. Since it is a pretty new domain in India and people are still exploring its possibilities, the demand for data professionals is very high.

Due to high demand and less supply of manpower in the data profession, the salaries of data professionals are handsome.

In this article, we’re going to discuss how you can get hired in the data science domain.

Tips to Get Hired in Data Science Domain

Whenever you start with something new, you must clear your basics at the very first step. There are a few tips & tricks that we are going to share today that can land you a high-paying job in the data science domain.

1. Learn Tools & Sharpen Your Technical Skills

Amidst the internet wave and technical revolution, learning the right tools is essential. When we talk about the data science domain, there are hundreds of tools, but there is no need to learn them all. Only the knowledge of the right tools can get you hired as a data professional.

These tools & skills are:

  • Basics of Python Programming
  • Data Analysis Using Python Libraries (NumPy, Pandas, Matplotlib, Seaborn)
  • Structured Query Language (SQL)
  • Bigdata Analysis With PySpark
  • Predictive Analysis Using Scikit Learn
  • Microsoft Power BI

If you’re willing to pursue your career as a data professional and want to learn all these tools, you can explore this amazing certification program by Console Flare, which will train you with all these tools.

Get Hired in Data Science Domain

2. Perform As Many Projects As You Can

When you perform projects by yourself in the data science domain, you get the exact idea of how to deal with real-world industry problems. Projects related to data analysis, market research, data visualization, big data analysis, and predictive analysis can create a massive difference in your portfolio.

Here are a few websites where you can get the datasets to perform this kind of project:

  2. GitHub
  3. Kaggle
  4. Academic Torrents

3. Building a Perfect Resume

When applying for jobs in the data science domain, the importance of a resume is higher than any other thing in the process. It is the first step towards your success. Having a perfect resume can get you shortlisted by the companies like Google & Microsoft.

To learn how to create a perfect resume, you can check our article, 5 Amazing Tips For A Data Scientist Resume.

Putting the right keywords in your resume, mentioning the tools & technologies that you are skilled in, mentioning the projects that you have performed, and showcasing your past achievements in a proper format, are some useful steps towards building a perfect resume.

4. Internships are Important in Data Science Domain

Whether you are a fresher or an experience working professional but have no relevant experience in data science, a 3-month or a 6-month internship can make a lot of difference for you.

Read our article: Why Internships Are Important In Data Science?

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