4 ms·
If you want to hire an experienced data scientist, be prepared to pay
- brogrammernot 10y agoI feel like this could be universal. If you want to hire an experienced, production and value adding _______ be prepared to pay. It's like the phrase "You don't pay a plumber to bang on your pipes, you pay them to know where to bang." (yes, that's from Suits) Anytime you choose cost over experience you end up paying more than you would in the first place by the end. Obviously there's exceptions to that, but if you're going to be cheap on a component or person that you need you will definitely regret it later.
- chrisabrams 10y agoYou got the plumber quote before I could :)
- deleted 10y ago[deleted]
- ryanwaggoner 10y agoThe plumber quote is likely ultimately based on this incident between Charles Steinmetz and Henry Ford: http://www.smithsonianmag.com/history/charles-proteus-steinmetz-the-wizard-of-schenectady-51912022/ http://www.smithsonianmag.com/history/charles-proteus-steinm... One of my go-to stories when telling freelancers not to charge hourly :)
- gmarx 10y agoThanks for the link. I thoroughly enjoyed that. I never thought about the character behind the name. heartwarming
- cheez 10y agoWhat are the salaries for "data scientists"?
- probinso 10y ago7.50$ /hr
- probinso 10y agoI have met many people who call themselves a data scientists. it is very easy to call yourself a data scientist, and justify the label. if the vocabulary of your community doesn't support your needs, then you need to modify your vocabulary. Swear words like 'data scientist', invite the idea of casting a wide net with a large set of poorly defined skills to arbitrarily select from. I appreciate the communities' use of the term 'data engineer' to quarantine out some of these skills. For those writing a job description, or vetting candidates, these words really matter. when you muddy the soup, by expanding definitions, time gets wasted.
- alexchantavy 10y agoIs there a commonly accepted standard for qualifications of a data scientist, are they expected to be software engineers with PhDs in something statistical/data-oriented? I've heard mixed things and am interested in getting clarity on this - sometimes they have CS backgrounds, sometimes they have non-CS backgrounds, some are competent programmers, others can't write a line of code, etc.
- laughfactory 10y agoNope is the short answer. But in general you're expected to have a grasp of the fundamentals of statistics, some software engineering, Python and/or R, knowledge of the various algorithmic approaches, and a host of traits which really make a data scientist: curiosity, persistence, determination, flexibility, adaptability, detail oriented, conscientious, really like a challenge, resourceful, good interpersonal skills, ability to convey the complex in simple terms... In many ways I think it's almost more about the traits than the training. But yeah, where I've worked that's generally what we look for in candidates. What is astonishing to me is how there seems to be 1) a dearth of candidates, period, and 2) candidates we can dig up miss scheduled calls, show up late for interviews, interview very poorly, turn in poor quality take home exercises (an exercise which essentially just covers the basics), have really crappy resumes (typos, horrible layout, inconsistencies with LinkedIn profile, etc...)--and these are folks with experience as statisticians or data scientists. Amazing. We don't ask anything deep or complex either, yet we've had a really hard time finding people.
- mdekkers 10y agoI recently read this quote somewhere: "If you think a pro is expensive, wait until you have to fix the work of an amateur"
- deleted 10y ago[deleted]
- pvaldes 10y agoIf you want to be tagged as an experienced data scientist be prepared to work for free for several years. Or be payed in "credits", that is the same thing.
- pvaldes 10y agos/payed/paid/