I’m a Data Scientist/ ML Engineer without a STEM degree or PhD but with six years of experience in tech.
Despite not having a PhD or quantitative degree, I’ve managed to drive enormous impact. I’ve:
- Developed ML credit models that have disbursed over US$900M,
- Scaled a new market launch to over 2 million customers in only two years,
- Led a team that managed ML credit and fraud models for seven different countries across the globe.
I think it is a myth that only PhDs can be great Data Scientists.
If college dropouts can be talented software engineers, why can’t non-PhDs with experience be great Data Scientists?
I believe that you don’t need a PhD to solve problems, especially at early-stage startups.
In fact, it could end up being a costly mistake for early-stage startups — spending valuable time and effort hiring for qualifications you don’t need yet.
I’ve learned the key traits that are important to succeed as a data scientist, and I’ll reveal them to help you make…