If you prefer to read rather than watch this video, check out the blog post I wrote on this, and other, topics here ➡www.emmading.com/blog/who-is-hiring-data-scientists-and-how-to-get-interviews-in-2023
I found some dilemmas such as, dreaming companies may not have the right position in the right team for you when you are actively looking jobs, and it happens so often that after landing an offer, people may quit very soon even in a dream company. Also there are lots of unknown companies or orgs need data scientist, by interviewing them also an opportunity to learn them whether they are fit for you. If not considering the time cost, interview itself is a learning journey not only getting to know yourself better but also broaden our view of world.
Reaching out to employers with a product/report about the company and what you can do to solve their problems is essentially very effective in landing interviews. However, it requires significant amount of time and commitment. How long does it take for the candidate to prepare the report? I am thinking there is a possibility that the company found someone suitable for the position while the applicant is trying to gather the report to impress the employer. How would you suggest to handle the situation so that the applicant maximizes his or her chance in getting the report seen by the employer and balance the time commitment.
How did you create that pdf? I mean how did you find that data? Can you make a video on that? And if possible not just exclusive to the States but any other country. Did you scrape LinkedIn, indeed, Glassdoor, etc? How did you get the recruiter information as well? Edit: also thank you for the video & resources.
Hi, I am also interested in creating such kind of research report, maybe we can work together to figure out how to do that, it would be definitely helpful in job hunting!
Many non-profit orgs are hiring data scientists however they won't pay well. So if not limited in profitable-companies. There are lots of opportunities.
The number of each job was applied by approximately 100 which is high also because each applicant apply more than 100 jobs hypothetically , so that makes sense
Hello, Rose! Thanks for your comment. 😊 This resource contains companies hiring all levels of data scientists, and will shift often as roles open and close. Hope this helps!
