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For a fresh grad, taking that first step into the so-called “real world” means securing a job. It’s not always easy, though. You can have tons of options with not one specific path you’re certain enough to take with the skill set that you possess.

If you’re in dire need of guidance, however, LinkedIn’s latest Emerging Jobs Report is providing helpful insights on job trends at the moment.

This 2019, it’s all about the growing field of data science and being a “hybrid.”

The need for hybrids

Hybrids are those who possess both digital competence and so-called “soft skills” such as management and communication. “This makes workers hybrids of new and traditional roles,” says Feon Ang, vice president of talent and learning solutions for APAC at LinkedIn, in a statement.

They are the first choice in the country’s top emerging jobs, which for the last five years, has been mostly related to technology, particularly dealing with data.

This year is no different. The emerging jobs include:

  • Data Scientist
  • Application Development Analyst
  • Back End Developer
  • Full Stack Engineer
  • Sales Development Representative

All these jobs are part of the multi-disciplinary industry of data science, which primarily does programming, computing, management, and communication. The primary aim is to comprehend loads of unstructured information.

For industry giants or promising startups in both the private and public sector which are heading towards digitalization, these jobs help solve issues on efficiency across all areas of the institution. This ultimately hypes the demand for data science employees.

Insider perspective

Mark Toledo and Leona Lao describes what it’s like to work in the industry of data science.

In a roundtable discussion with Mark Toledo, an app developer of CirroLytix, and Leona Lao, product manager at Cobena Business Analytics, we also learn what the data science industry is truly like.

For starters, an individual need not be exceptional at maths. In fact, there’s a lot of creativity involved in finding ways to approach a load of unorganized data. For Lao, even problem-solving requires imagination and out-of-the-box thinking.

Contrary to popular belief, too, data science and its use of automated labor will not replace the digital workforce in the future. In fact, dealing with data in Toledo’s line of work, retail, also means dealing with people who would otherwise be struggling in manual labor if not for the application of data science in, say, efficient shelf item organization. Telcos, banks, and even marketing agencies utilize data science.

But despite a continuously evolving and maturing industry, the country’s digital workforce is need of catching up. The supply of local tech talents is comparatively low.

Meanwhile, for their current pool of talents, organizations will need to work on helping them adapt to and learn from changes. “Real-time understanding of the demand and supply of skills, talent pools, and talent movement is key,” Ang adds. “[It is] the first step towards building talent intelligence at scale.”

Getting into the industry

Though data science is a relatively new industry in the country, positions are more than ready for job seekers. “I found my job through LinkedIn,” Toledo tells us.

Operating on websites and mobile apps, LinkedIn is a place to seek jobs, connect with opportunities, and grow a professional network.

The app developer says being in the platform has allowed him to present and connect himself professionally to the data science community, as well as mentors for career help and guidance.

For job postings, log in or sign up to LinkedIn.


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