7 Cool Jobs for Data Science Graduates

It’s raining jobs for data enthusiasts! IBM has predicted that the demand for data science professionals will increase to 28% by 2020. There is immense data around us and the industry requires experts who can make sense of them and bring them into use. There will be close to 700,000 openings for fast-growing roles like data developers, data engineers, and data scientists by 2020.

Another interesting fact – it takes up to 45 days to fill in job positions for roles in Data Science and Analytics, which is five days longer than the average wait period for hiring the right candidate in other industries. What does it mean? That the demand for data science professionals has surpassed the supply.

So, what does the job market for a data science graduate look like? What are the different roles the industry is offering? Let’s take a look at the seven coolest job options:

1. Data Scientist

Probably the most sought-after data science job today. Ever since the US government named DJ Patil as its Chief Data Scientist, this role has earned the status of a data wizard. With a gamut of role under its umbrella, the skills lie in computing data, predicting and visualizing models, and furthering the insight with storytelling, yet compelling ease. Have those all? Microsoft, Google and Adobe might just be the next stop!

How to become a data scientist

Source: CISELab.Jimdo

2. Data Analyst

The ability to sniff and search the tiniest of information out of the available data, makes a Data Analyst highly sought after by the likes of IBM and HP. Expertise in languages like R, C, Python, and SQL come as natural to them and helps them perform complex statistical data analysis for the organisation and the different departments therein.

3. Data Architect

The rise of data science means a rise in the need for data management systems. There comes the need for Data Architects, who create blueprints for different systems to integrate, centralize, and thus provide warehousing solutions. The role is critical as it includes the protection of all confidential data. Coca-Cola and VISAs of the world look around keenly for such database architects.

4. Data Engineer

Mostly a software engineer with the ability to master technologies, this role is considered the jack of all trades. Understanding of diverse set of languages like SQL, Hive, Pig, R, Matlab, SAS, SPSS, etc., as well as the skills to develop, construct, test and maintain them, make them a go-to person by the likes of Facebook, Amazon and Spotify.

data engineer

Source – Quora

5. Statistician

The classic! Although replaced by fancier names in recent times, this historical role still holds strong ground when it comes to getting knowledge out of data. The ability to harvest information out of data, and the skills to statistically methodise them helps businesses transform. LinkedIn, PepsiCo, and the likes hound for such mathematicians!

6. Database Administrator

Someone has to take care of all those important data. There comes the role of the administrator; making sure the data is protected, performing properly and available to relevant users whenever necessary. The innate skill of disaster management, coupled with the eye for new technologies, helps the administrator ensure complete data protection and recovery, and earn a place in Reddit, Tableau, or Twitter.

7. Business Analyst

As the bridge between technology and business, the role demands deep knowledge of the different business processes. While only the basics of tools and technologies are necessary, the role does require the skills to link data insights with different businesses across the organisation. Companies like Uber, Dell and Oracle have taken giant leaps with support from this role.

The rise of data has surely opened a new gamut of opportunities for data science graduates. The above list tries to shed some insight into the different roles available in the industry. There is bound to be some overlap or some different nomenclature for the same roles. Nonetheless, the future looks bright and shiny for data enthusiasts!

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