Anonymous wrote:OP I have a hint for you. Don't put Statistical Assistant on your resume. Use a different title like Statistician. Trust me they are not going to care. Your interview will shed light on your prior job title. Put a different title and find ways to relate your current experience to what a data scientist would do. I will be very surprised if more than 5% of data scientists are truly doing data science work. Most of them are probably just using built in systems in a very structured format.
Anonymous wrote:OP how much do you make as statistical assistant now?
Anonymous wrote:Anonymous wrote:Anonymous wrote:+1 for MBA is useless for a data scientist. I would focus on learning Python, SQL, maybe R? Agree that you have some skills but a recent boot camp or cert will help get your resume past HR. Do as much free/cheap training as possible; most of what you’ll actually need to know you’ll learn on the job, you just have to get the job first. Good luck!
As for compensation, I think PP’s right that entry level would be $70-80k, but there would be opportunities for promotion and raises, decent health/vacation benefits, and 401k match.
I work in tech but not data science/AI. I don’t think “power user of chatgpt” is a reasonable career path; you want the ability to tune models to be valuable in the AI space.
Speaking of MBA now I wonder if I made the right decision. Like OP I am looking for a better paying job. I am currently working as a senior admin assistant and make $110k. My goal is to make minimum $150k. So I joined an online MBA program and I am halfway through the program. I spent about $16k so far and have another $16k to spend. Given that some of you are saying that an online MBA is useless should I leave the program? The first $16k I used my savings but I will.need student loans for the rest.
I want a job as a business analyst, programme manager and the like. I am 39.
I am doing an online mba at michigan ross mba. It costs ~120k and from other students ive talked to, its not worth it. If anything, its a joke of a degree and our respective employers don't care.
Anonymous wrote:Anonymous wrote:+1 for MBA is useless for a data scientist. I would focus on learning Python, SQL, maybe R? Agree that you have some skills but a recent boot camp or cert will help get your resume past HR. Do as much free/cheap training as possible; most of what you’ll actually need to know you’ll learn on the job, you just have to get the job first. Good luck!
As for compensation, I think PP’s right that entry level would be $70-80k, but there would be opportunities for promotion and raises, decent health/vacation benefits, and 401k match.
I work in tech but not data science/AI. I don’t think “power user of chatgpt” is a reasonable career path; you want the ability to tune models to be valuable in the AI space.
Speaking of MBA now I wonder if I made the right decision. Like OP I am looking for a better paying job. I am currently working as a senior admin assistant and make $110k. My goal is to make minimum $150k. So I joined an online MBA program and I am halfway through the program. I spent about $16k so far and have another $16k to spend. Given that some of you are saying that an online MBA is useless should I leave the program? The first $16k I used my savings but I will.need student loans for the rest.
I want a job as a business analyst, programme manager and the like. I am 39.
Anonymous wrote:+1 for MBA is useless for a data scientist. I would focus on learning Python, SQL, maybe R? Agree that you have some skills but a recent boot camp or cert will help get your resume past HR. Do as much free/cheap training as possible; most of what you’ll actually need to know you’ll learn on the job, you just have to get the job first. Good luck!
As for compensation, I think PP’s right that entry level would be $70-80k, but there would be opportunities for promotion and raises, decent health/vacation benefits, and 401k match.
I work in tech but not data science/AI. I don’t think “power user of chatgpt” is a reasonable career path; you want the ability to tune models to be valuable in the AI space.