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How Data Science Has Changed The Way You Get A Job

February 4, 2019 | Michael Howard

Tag: Resume Tools4

If you’ve been out of the job market for a while, boy are you in for a shock. Long gone are the days of your paper resume sitting on the desk of a hiring manager. With the ever-evolving use of technology to assist humans in all endeavors, the hiring process is no different. Automation, machine learning, artificial intelligence, data science and analytics have changed the face of this once very human process.

If you’re currently looking for a job, this isn’t just interesting reading material. It is vital to understand exactly what’s going on behind the curtain in order to have a chance at being hired. You risk your resume never seeing the light of day otherwise. Amazingly, this holds true even if you are the perfect match for a job.

But don’t worry, you’re in luck. Half the battle is knowing the game. This levels the playing field. The other half is having the tools to play. This gives you the edge you need to win.

We’ll start from the beginning.

Why Resumes Need Data Science

It started with a need to automate resume processing. Large sized companies would receive too many resumes to process efficiently and effectively. Computer and computer peripherals came to the rescue by scanning the physical paper resume. This was the first step. This alone helped immensely. You could now organize electronic scanned copies using naming conventions and virtual filing systems.

Next, the idea was to extract data from the resumes in order to manage the hiring process. Here, basic information was needed to create a list of who applied for what job and when the resume was received. A new technology known as Optical Character Recognition (OCR) helped push this forward along with wide-spread adaption of spreadsheets such as Lotus 123 and Microsoft Excel.

When Data Science and Resumes Met

Now came the data science explosion. Bundled software solutions emerged that would process resumes and allow employers to score the contents of them against the job requirements. These software solutions eventually were known as Applicant Tracking Systems (ATS).

The key to these systems were how they processed words and phrases. At first, the focus was on exact matches. But it soon became apparent this would not work. Variations of a single word posed a problem. The word “resume” itself is a good example. Did a person mean the noun, “resume” meaning the document containing information about a person’s experience and qualifications? Or as the verb “resume,” meaning continuing forward. Then, there were variations that meant the same thing. A person who worked on a machine could be a machine operator, machine worker or a machine specialist or any number of variations.

Resume Hero NLP

All these challenges were addressed with the accelerated progress of natural language processing (NLP). A subfield of computer, information and data science, machine learning was deployed to learn contextual meaning of words. Using learning models and statistical probability algorithms, a library of language processing rules was developed that helped accurately define contextual meaning.

Now, what’s this mean for you?

Where Do I Fit In

First, you need to know your resume is being processed by a sophisticated system that parses your resumes into categorical meanings and compares that with the job requirements. Using this process, your resume is scored and ranked against others. This solves the mystery of why you may not get call backs for a job you are perfectly matched.

Next, you need to know there are tools to overcome this.

Is there Data Science Resume Tools

One such tool is It uses the exact same data science, machine learning and artificial intelligence systems employers use from ATS software. The difference is, it is for candidates to pre-screen their resumes before submitting to an employer. does more than just pre-screen. It automates the process of extracting and merging the artificial intelligent suggested keywords into a resume with the click of a button.

It’s Up To You

It’s a new world in the job search arena. But with the knowledge of how things work and the tools to get an edge, the job you want can be had for the taking. Now it’s up to you to take it.