I’m am heading out of graduate school with a Masters in Earth System Science. I recently interviewed for a data science role that will be focused on building the next gen water model. I have experience in ground validation of models, but I never really learned machine learning or AI. I just did straight statistics, and built some software relating to research using python and C++. I built some useful tools for getting big data and learned a lot about how to clean datasets and prepare them for other people to analyze.
That said, I asked for 65-75. When I was on the interview, I asked what the director thought would get. He said he thought I was worth about 85-105. I was kind of dumbfounded, but I’m worried they may cut back as they start looking at what I actually wrote on the application.
What would you do in this situation? Should I amend that number in the second interview and just say I’m interested in that range now? Otherwise, I’m a bit worried they may just offer what I wrote on the paper and I’ll undercut myself on what I’m worth.
Thanks for any input.