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A space for data science professionals to engage in discussions and debates on the subject of data science.
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[save\_the\_panda\_bears](/user/save%5Fthe%5Fpanda%5Fbears/)
# How to get a job in data science - a semi-harsh Q/A guide.
[ Job Search ](/r/datascience/?f=flair%5Fname%3A%22Job%20Search%22)
**HOW DO I GET A JOB IN DATA SCIENCE?**
Hey you. Yes you, person asking "how do I get a job in data science/analytics/MLE/AI whatever BS job with data in the title?". I got news for you. There are two simple rules to getting one of these jobs.
1. Have experience.
2. Don't have no experience.
There are approximately 1000 entry level candidates who think they're qualified because they did a 24 week bootcamp for every entry level job. I don't need to be a statistician to tell you your odds of landing one of these aren't great.
**HOW DO I GET EXPERIENCE?**
Are you currently employed? If not, get a job. If you are, figure out a way to apply data science in your job, then put it on your resume. Mega bonus points here if you can figure out a way to attribute a dollar value to your contribution. Talk to your supervisor about career aspirations at year-end/mid-year reviews. Maybe you'll find a way to transfer to a role internally and skip the whole resume ignoring phase. Alternatively, network. Be friends with people who are in the roles you want to be in, maybe they'll help you find a job at their company.
**WHY AM I NOT GETTING INTERVIEWS?**
IDK. Maybe you don't have the required experience. Maybe there are 500+ other people applying for the same position. Maybe your resume stinks. If you're getting 1/20 response rate, you're doing great. Quit whining.
**IS XYZ DEGREE GOOD FOR DATA SCIENCE?**
Does your degree involve some sort of non-remedial math higher than college algebra? Does your degree involve taking any sort of programming classes? If yes, congratulations, your degree will pass most base requirements for data science. Is it the best? Probably not, unless you're CS or some really heavy math degree where half your classes are taught in Greek letters. Don't come at me with those art history and underwater basket weaving degrees unless you have multiple years experience doing something else.
**SHOULD I DO XYZ BOOTCAMP/MICROMASTERS?**
Do you have experience? No? This ain't gonna help you as much as you think it might. Are you experienced and want to learn more about how data science works? This could be helpful.
**SHOULD I DO XYZ MASTER'S IN DATA SCIENCE PROGRAM?**
Congratulations, doing a Master's is usually a good idea and will help make you more competitive as a candidate. Should you shell out 100K for one when you can pay 10K for one online? Probably not. In all likelihood, you're not gonna get $90K in marginal benefit from the more expensive program. Pick a known school (probably avoid really obscure schools, the name does count for a little) and you'll be fine. Big bonus here if you can sucker your employer into paying for it.
**WILL XYZ CERTIFICATE HELP MY RESUME?**
Does your certificate say "AWS" or "AZURE" on it? If not, no.
**DO I NEED TO KNOW XYZ MATH TOPIC?**
Yes. Stop asking. Probably learn probability, be familiar with linear algebra, and understand what the hell a partial derivative is. Learn how to test hypotheses. Ultimately you need to know what the heck is going on math-wise in your predictions otherwise the company is going to go bankrupt and it will be all your fault.
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