Part 4. Case study 4: Using online job postings to improve your data science resume

 

Problem statement

We’re ready to expand our data science career. Six months from now, we’ll apply for a new job. In preparation, we begin to draft our resume. The early draft is rough and incomplete. It doesn’t yet cover our career goals or education. Nonetheless, the resume covers the first four case studies in this book, including this one, which we’ll complete before seeking new employment.

Our resume draft is far from perfect. It’s possible that certain vital data science skills are not yet represented. If so, what are those missing skills? We decide to find out analytically. After all, we are data scientists! We fill in gaps in knowledge using rigorous analysis, so why shouldn’t we apply that rigorous analysis to ourselves?

First we need some data. We go online and visit a popular job-search site. The website offers millions of searchable job listings, posted by understaffed employers. A built-in search engine allows us to filter the jobs by keyword, such as analyst or data scientist. Additionally, the search engine can match jobs to uploaded documents. This feature is intended to search postings based on resume content. Unfortunately, our resume is still a work in progress. So instead, we search on the table of contents of this book! We copy and paste the first 15 listed sections of the table of contents into a text file.

Dataset description

Overview