u/gabarosky

Hi everyone,

I have a PhD in Mathematics with a background in Numerical Optimization, and my undergrad thesis involved building a Dynamic Programming model for the agricultural sector. After several years in academia, I am looking to transition into the industry as fast as possible.

I think that my main bottleneck right now is my lack of corporate experience. I spent the last six months studying and building Data Science projects. However, after two months of active applying, I haven't landed a single interview.

I feel that I need to get my foot in the door quickly to break the ice and get that first industry line on my resume. Given my profile, I’d appreciate some blunt advice on:

• The Pivot: Should I keep pushing for Data Science, or would roles in Operations Research, Supply Chain Analytics, Data Analyst or Quantitative Analysis be a faster/better fit for a mathematical background?
• The Resume: For those who made the jump, how did you frame years of academic research to look "industry-ready" when you had zero corporate job titles?
• The Strategy: Is there a specific entry-level role or industry sector known for hiring Math PhDs quickly without requiring prior corporate experience?

Based in LATAM and looking for remote

Thanks for the feedback!