Data Science Offers Massive Job Opportunities, Here’s How to Capture Them


If you don’t have a team of data science professionals in your organization, chances are you will have one soon. According to the Edvancer study, data science and analytics is one of the fastest growing job fields in India. As every business organization is producing data on a large scale, it becomes important for enterprises from different industry verticals such as retail, healthcare, manufacturing, information technology (IT) and others to strengthen their data teams.
India is developing into one of the world’s data science capitals with renowned brands, including PayPal, Mercedes-Benz, AIG and Walmart setting up data science centers in the country. Furthermore, research from the Everest Group clearly indicates that India holds the lion’s share of the global analytics services market.  The number of data science and analytics jobs in India nearly doubled from April 2016 to April 2017. Today, many large and mid-sized business enterprises are looking for skilled professionals with sound knowledge of Python, R, and Hadoop. Now, let’s find out how to capture the job opportunities in data science and analytics.

1. Get trained in the relevant skill sets
To land a data science job, you need to get trained in the relevant skillsets and acquire strong expertise in a wide array of tools and technologies including Hadoop, Python, R, while being well-versed with machine learning, predictive modeling, statistics, linear algebra, and handling big data.  Don’t let all these tools and technologies worry you. Adopt a systematic and strategic approach to learning. Start by learning statistics, SAS, R, and predictive analytics. After that you can move on to linear algebra, Python, and machine learning before working on the Apache Spark, Hadoop, and No Sql stack for big data.

2. Start implementing your learning on projects and showcase your skills
Always remember that employers will look for data science professionals who have already worked on some projects. The best way to showcase your data science capabilities on your CV is to start implementing your learning on the projects provided on Crowdanalytix and Kaggle, or you can also use many freely available data sets on the internet. Another great way to implement your learning is to join a program in masters in data science and work on data science projects provided to you to sharpen your skills.

3. Create an outstanding resume and update your Linkedin profile
You need to show the world that you have all the requisite skills required for a data science and analytics role.  So, create an outstanding resume and mention all the latest tools and technologies that you have learned. Also, briefly describe the data science projects on which you have worked. Always ensure that your profile on Linkedin is updated since all the potential recruiters are already there.
Once your CV is ready, it’s time to start preparing for interviews. Go through frequently asked questions related to your job profile and prepare for them well. Good luck for your interview!

Location: Bengaluru, Karnataka, India

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