There is no astonishment in the fact that in 2019, data scientist is seen as an emerging job in 2019. The 2019 Thursday report of LinkedIn after carrying out a comprehensive survey proved it. This decision was never an overnight affair. It is because from over the past three years, data scientist profession has been topping the Glassdoor list of the leading jobs in America. The reason why for the consecutive three years the profession is gaining popularity is that skilled individuals are demanding high salaries, high job satisfaction, and high non-monetary rewards.

How did LinkedIn arrive with such an evaluation?

When the LinkedIn assessed the data regarding job openings, salaries and the ranking of them, they found that all these data were based on a number of principles. The leading factor among them was the promising pay that determined the technicality of the profession. Following this salary factor, another include:

  • The degree of progression in this career
  • The scope of the professional nationwide in terms of job openings
  • The trend in growth of the data scientist job in the record of past three years
  • The availability of skills and required talent in the field of the data scientist in the region

Moreover, as per the findings of the report, it is apparent that the scope of the job increased each year greatly. Also, according to the statistical evidence, the report also elucidated that the average salary of a data scientist was $130,000. This salary significantly increased the percentage of the jobs to data scientists to 56%. Thus, in the present year, there are 4000 seats open for the data scientists to apply in top companies given that the candidates fulfill the application criteria.

The skills that the employers are mostly in quest of

According to the Glassdoor survey, it is clear that the top most companies who hire data scientists with an appreciative salary package seek for three skills. They include Structured Query Language, R, and Python. Nevertheless, there is a certain degree of flexibility in these job positions. The Glassdoor survey claims that in nine out of ten jobs the eligibility criteria is the expertise on any one of these skills.

Alongside, the LinkedIn also claimed that the employers are also looking for those eligible candidates who are expert on:

  • Assessment and analyzing of data
  • Data mining
  • Machine learning that has dramatically changed the mode of data extraction and interpretation.

And those applicants who had command over these skills, are at the leading careers in the field of data scientists. They include researchers, digital data specialists, and core data scientists.

Emphasis on non-technical skills

Furthermore, the LinkedIn data also claimed that the employers, along with assessing the applicants on the basis of technical data, also play immense importance of non-technical skills. They include:

Communication: The data scientist needs to be very effective in communicating with the other departments of the business in a clear and timely manner. After all, they have the data on which the entire business rests.

Ability to make a prompt decision: As the data scientist has the ability to interpret and assess the data in a critical light, they also need to be firm decision makers.

Ability to work as a team: This is only possible if the data scientist has strong articulation skills that allow them to integrate different work groups.

Therefore, it is clear that the emerging data scientists are gaining expertise in these skills. It is because through them they will be able to get appreciative jobs at high salary package.