The Skills that Pay the Bills!

The Skills that Pay the Bills!

One great thing about working at Jobr is the amount of data that we have to play around with that enables us to provide a better product and experience for our end users. Data science specifically gives us good insights on how to deploy more relevant recommendations and match job postings to users on Jobr.

As Jobr grows, we’ve found ourselves curiously solving more and more interesting problems. One project we started doing was finding how much skills are worth in comparison to salary offered. Because our jobs stretch across many industries and verticals, we have a very diversified dataset to test what kinds of skills contribute the most to higher incomes.

The data nitty gritty

We took over 100,000 jobs with specified salaries attached to them and extracted the top 500 skills and relevant keywords and used them as features with TFIDF weights. TFIDF stands for term frequency-inverse document frequency which is a numerical statistic that is intended to reflect how important a word is to a document in a collection of documents. Therefore a skill like CPA will have more weight than a common keyword like marketing. We also included position titles and years of experience to normalize the model.

After fitting it, we extracted the coefficients and plotted them out on a bar graph. The intercept of the model was at 75K base so each skill’s coefficient would add or subtract to that annual salary amount. We plotted the top keyword coefficients below

Unsurprisingly the keywords and skills reference mostly medical fields, banking, and finance with keywords like acquisitions, trading, inpatient, and mba. Certainly hiring an MBA candidate will make the job more expensive because of the high salaries that people out of business school attract. Another thing to note is that all of the keywords are more generalized keywords and not real hard skills which goes to show how these keywords show up most prominently when looking at management roles where there are always going to be high salaries.

Tech skills that rule them all

Looking into tech skills more specifically, we plotted the most valued skills that related to tech and programming.

The keywords aws and agile refer to Amazon Web Services and the agile methodology of software development project management respectively. Both are also crucial skills when examining the requirements for technical managers or directors. The most valued programming language however is javascript, contributing to 33K dollars extra a year if it’s exists in the description.

Javascript has become more of a hot language in the past few years as useful packages and frameworks like React.js and Node.js have become popularized. On top of that, mastering Javascript can make programmers into full-stack developers by using one language to program both backend systems and frontend designs.

The keywords of python, ETL, and analytics may be contributing to the high value of data engineers and scientists that also have been popularized in the past few years.

Stay away from these skills

An unusual and counterintuitive metric to look at also would be the skills that could possibly detract from a job’s salary. Because the model assumes an initial neutral value of 75K salary, there must be skills that contribute to negative values on overall salary because many jobs pay less than 75K a year.

A clear difference can be seen of the management like keywords in the first graph and the more entry level keywords in the negative facing bar graph above.

Microsoft Excel surprisingly has a very high negative impact on job’s salary. But while everyone working in an office probably has to know Microsoft Excel, it might be noted that the jobs that set it as requirements in their description are generally entry level office workers that may work on data entry tasks or simple formulas.

Software like Microsoft Excel which people use the interface for show up in the graph above as well like Adobe, Quickbooks, Autocad, and Facebook. Along with those skills there are also more entry level non-office keywords like cleaning, bookkeeping, underwriting, organizing, etc… that demonstrate more manual labor like jobs.

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Conclusion

In conclusion, skills and keywords in job descriptions can be very interesting predictors into what salaries some jobs can command. While obviously learning a little javascript or putting strategy on your resume won’t earn you an extra 30K+ overnight, it’s a step in the right direction when looking toward the future of career growth.

Andrew was the Marketing Lead at Jobr. He's pretty gosh-darn lit!

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1 Comment

  • WilliamMr May 17, 2016 03.41 pm

    I appreciate you sharing this forum. Fantastic. Teranishi

    Reply 

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