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I'm now doing the NYC Data Science course (https://online.nycdatascience.com) but am getting concerned I may have missed the boat. What does HN think?
What boat do you think you're catching besides a reliable middle class job?
Bonus point it is very easy to learn.
Also known as Linear Regression.
On top of that, you have something incredibly valuable to a budding data scientist: domain expertise. Being able to manipulate data is great, but to most effectively solve real-world problems you have to understand (or communicate very closely with someone who understands) the main problems in a domain. I can't count the number of times I've heard scientists frustrated by their lack of data skills, and data scientists frustrated by some arcane domain fact that stymies their model production.
Far from being a liability (or just a sunk cost) your background in agriculture will make you extremely valuable as a data scientist.
Company B - have no clue what ML or AI is and feeling the heat. They could be a multi million dollar company or a small SMB.
You will always find both these A & B atleast until ml and AI is well democratised. It is not, not even close. We are at the early stage of the curve still, but moving forward there will be rapid growth in the next 5-8years.
You have few options: 1. Start with sql. It’s not hard, join as an analyst and learn to code. Make sure the team or product you join deploys models. 2. Learn basic python and some orchestration tools (airflow, spark or aws/azure equivalent) . Join as data engineer along with basic sql skills.