As I am nearing the end of my PhD program, I have started looking for jobs and recently sent in a handful of applications. Since I am no longer interested in pursuing an academic career, my search criteria entail the wide umbrella of Economist, Analyst and Data Scientist roles.
A couple of things have become immediately clear. Firstly, most, if not all, job postings on LinkedIn have hundreds of candidates who click on apply. Whether or not all of these candidates actually apply (once they are re-routed to an external page) is unclear but seeing a post from as recent as a day prior already stack up hundreds of prospective applications, is certainly discouraging. Is there such a wide gap between the demand and supply of jobs in these fields? Or is this LinkedIn’s clever way of trying to get me to sign up for premium?
Secondly, I cannot help but wonder if I am tossing my applications into the void. To keep track of my jobs, I create a spreadsheet with a dropdown that indicates the status of each application: moved to round 2, interview, accepted, rejected and non-response. Non-response is easily the biggest category so far. When you are expected to spend several hours curating the perfect application with tailored resumes and cover letters (along a personal note to the recruiter in the hopes that you will somehow stand out in the sea of applications), you would think there would be at least some sense of accountability on the recruiting end- an automated rejection even- but most employers do not bother extending that courtesy. Should potential candidates be looking into this career equivalence of ghosting as a sign of overwhelm, discomfort with handling difficult conversations or a plain lack of empathy? Do I even want to work for such an employer?
Which leads me to a rarer occasion in this process- a second round of assessment. Yesterday, I heard back
from one of the jobs I had applied to in January. While it was certainly not a top choice, I was still
grateful for the opportunity to move forward with the application. The follow-up email requested that I
finish a 30-min technical questionnaire, that I quickly realized also consisted of elaborate behavioral and
leadership questions. Here’s one such question for reference:
Describe a time you worked with a large, complex, or unstructured dataset. Please also address:
- Main challenges faced
- How you cleaned and validated the data
- Tools or methods that you used
- Outcome that you achieved
I started answering the questionaire with the tentative timeframe in mind, only to quickly realize that each question (of the 10 or so total) would take at least 15-20 minutes, if answered thoughtfully (read: not using AI). I finished over 3 hours later, past midnight, wondering if this gross misrepresentation would be limited to the recruitment process.
While I am still early in the search, and I refuse to let myself be discouraged by a few less-than-ideal scenarios, I am moving forward with more discernment regarding alignment between my own values and that of a potential employer. Not to mention, this process has fueled a greater sense of urgency within me to channel more of my time and energy into projects that I really care about- whether that is research, writing or any form of creative work.
After all, I can only spend so much time scrambling and unscrambling my resume, keyword-matching each job description, hoping it somehow makes it though the Application Tracking System (ATS), into the glorious labyrinth that is the second round of assessments.
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