Have about a 15-20% response rate from applications I've sent out for data science roles, down from about 33% the last time I was recruiting. Also call back rate from referrals is about 50% for me right now. Are the ongoing stock market declines/hiring freezes starting to affect data science roles, or should I be concerned about my resume.... 2 YOE TC 🥜 #datascience #data
sir where have you been? The economy is getting slaughtered. Many companies have slowed down hiring or have freezes
Everything has slowed lol.
Not according to my LinkedIn inbox anecdotally
Everything has slowed, but I dare say DS slowed down a bit more. From March 2020 I think DS roles are seen like a luxury hire instead of a bare essential
But from March 2020 the market was insanely hot? At least according to posts on here.
Market was hot last year Initially due to covid there were layoffs too
Get into an analyst or junior role and then move upto a data scientist position. Thats what i did and got promoted from ops analyst to Data scientist.
Any advice for such a transition? Currently a DA looking to transition into a DS
Study algos
The truth of the matter is that most companies can't even understand what a data scientist does. And then they get discouraged when they realize they need about four to five data engineers per data scientist. And by that point they've organized the whole thing wrong and have the wrong people in charge of the project, so they have to start over again. So data science to them becomes just hype and not very useful. They'll probably approach it again, similar to things like augmented reality. It has value, but it's difficult to get to.
Most data scientists can't understand what a data scientist does :p Source: Computer Vision Engineer here in favor of abolishing the vague term "data scientist"
That's because the market is filled with people who use just excel and call themselves data scientist, or DS wannabes coming from the business without much technical specialization.
Stock market is output of output. Focus on the inputs
The data science job market is always really difficult. Headcount is *so* low. My experience was that 1 data scientist could support 5+ product teams. As in, 5 different domains, business data for cars, home and commercial property, personal. I did data products with data ingestion from 11 different third party data providers, for 7-8 business use cases, across those 5 domains. I worked with maybe 40 different coworkers fulltime on these 7-8 projects. Number of data scientists? Exactly 1. For all the projects. And that 1 data scientist was not very busy. They were at 75% capacity max. Good data scientists simply churn through the work. Once you've built a few "pipelines" for unstructured learning, you'll find doing it again takes about 10-20 minutes in R/Python. For many projects, the statistical analysis happens in 5 seconds. This gets reflected in the job market. I suspect the ratio of 50:1, 50 engineers/product employees per data scientist, will be the long term trend. It is a very difficult market to be in if you are not elite.
Wow this is very interesting. I just became a data scientist from an analyst Any advice
That's why I see most of my colleagues moving into data engineering with a side of platforms/cloud architect with Infrastructure as Code. Can build the entire vertical bottom up and supply the data. Can't supply the app, but that's okay, because then they don't compete with SWE.
Stock market is outside your circle of influence , network & apply in a targeted way ..
DS is not essential for most business to survive. Most of DS roles are icing on a cake, nice to have
Even swe recruiting has slowed. It’s a macro trend
That's true for most functions- HR, marketing ....