As of writing this post, I am currently on the job hunt for a new role as a Data Scientist due to difficulties in correspondence to Covid-19 at my previous company.

This time around, I’ve noticed things seem to be much harder than they were when I was last was on the market, but instead of using these challenges to prolong our dreams of becoming a Data Scientist or end them in a worst case scenario, I’ve endeavored to better understand these challenges so I could come up with some solutions to make them work best in my favor, and now yours!

Outlandish Job Requirements

This seems to be a thread in most discussions I’ve had with Data Science job seekers —

Nobody feels qualified anymore.

Many Data Science Job descriptions do not communicate the **actual **requirements of the role being advertised.

One major effect of this is that aspiring Data Scientists who prioritize their personal and technical skills based on job descriptions would be mislead regarding the requirements to fulfill a role. Another issue with this is that recruiters would get plenty of applications that do not meet the requirements.

According to a fabulous post by Jeremie Harris titled The Problem With Data Science Job Postings, there are many reasons why a Job description may seem incomprehensible, and it’s down to you to distinguish what category the one you’re on falls in:

• Many ways to solve problems, so it is hard to narrow it down for a job description.
• New Data Science teams may encourage people to be a jack of all trades, which translates into the job description.
• The company lacks the experience to know what problems they have and what capabilities the person who can solve them should have.
• Written by recruiters.

#2020 oct opinions #career advice #data science #jobs #linkedin