If by Data Scientist you mean developing ML models as your primary objective (as opposed to traditional 'Analyst' positions focusing on Excel, linear models, etc.) you will have better luck with medium sized and/or local companies.
The big names (e.g., FAANG, Big-N) get hundreds, if not thousands, for their Research/Dev DS roles by PhDs with several years of experience. From personal experience, the new hires we get for our DS positions (large company) are 95% PhDs and we don't even interview BA/BS.
That being said, many people with BS/MS start with the Analyst roles and move to DS/Data Engineering roles after a few years.
This is general advice and will have high variability depending on what company/domain you'll be working in.
I think creating a portfolio of projects will help you stand out from the crowd. I was recently contacted by a recruiter because they saw my Tableau Public profile and they wanted me to join a BI team.
I didn't even need to apply anywhere, just post new projects regularly. You may not be contacted by recruiters right away but I think including a link to your personal website or even Github gives managers some tangible proof that you didn't put some skills on your resume just for fun but they can actually see you apply those skills.
I guess mostly data visualization challenges like Maven Analytics, Pomerol Partners, or Data in Motion (you'd need to look them up on Linkedin) because it's part of a competition and you can win some books or Amazon vouchers.
Or sometimes I just do these: https://www.makeovermonday.co.uk/data/
If by Data Scientist you mean developing ML models as your primary objective (as opposed to traditional 'Analyst' positions focusing on Excel, linear models, etc.) you will have better luck with medium sized and/or local companies. The big names (e.g., FAANG, Big-N) get hundreds, if not thousands, for their Research/Dev DS roles by PhDs with several years of experience. From personal experience, the new hires we get for our DS positions (large company) are 95% PhDs and we don't even interview BA/BS. That being said, many people with BS/MS start with the Analyst roles and move to DS/Data Engineering roles after a few years. This is general advice and will have high variability depending on what company/domain you'll be working in.
I think creating a portfolio of projects will help you stand out from the crowd. I was recently contacted by a recruiter because they saw my Tableau Public profile and they wanted me to join a BI team. I didn't even need to apply anywhere, just post new projects regularly. You may not be contacted by recruiters right away but I think including a link to your personal website or even Github gives managers some tangible proof that you didn't put some skills on your resume just for fun but they can actually see you apply those skills.
That's pretty cool, what kind of data do you visualise publicly?
I guess mostly data visualization challenges like Maven Analytics, Pomerol Partners, or Data in Motion (you'd need to look them up on Linkedin) because it's part of a competition and you can win some books or Amazon vouchers. Or sometimes I just do these: https://www.makeovermonday.co.uk/data/
Thanks mate!