Finally, you need an area of technical analytic expertise. You need to understand data. You need to understand data. A place for data science practitioners and professionals to discuss and debate data science career questions. I don't see how this is a job description fitting of a 'data scientist' vs. say a normal statistician though? Please note that out of the seven (7) years of relevant experience required, at least four (4) years must have been gained in data science specifically. Convince me that you can see things that others can’t. You reach down and you flip the tortoise over on its back...". This seems to be under represented in “how to be a data scientist” posts but it is very important. Make sure you have some analytics on your resume, and that you can do stuff with Python and/or R, and that you know some SQL. Your time will be spent solving problems, testing approaches and researching solutions. Science; Newsletters; Edward Snowden. Press question mark to learn the rest of the keyboard shortcuts. But I understand about needing to eat. So either they make the data better or they don't do anything. Besides, 50%-70% of your work will be taking the crappy data you are given and putting it in a form that can be analyzed. That sometimes requires test tubes. I assume that he was hit by a car but is that really the case?” and you go into full CSI:Rodent mode then you are someone I want to talk to. Hacking your messenger is not their purpose of existence. get them help and support. Benefits of Working for the NSA. Read this far and realized you deserve a medal. I laughed at this way harder than I should have. Clearly there are very rigorous requirements for a proper data scientist. First, you need to be able to code. Clearly there are very rigorous requirements for a proper data scientist, much of which cannot be taught in a classroom, so it seems like the best way to actually become a data scientist is to gain some experience, leaving us in a catch-22 situation. National Security Studies; Science (e.g., Biology, Chemistry) Example Positions. The computer scientists Alma Whitten and J.D. You need to be curious. Get the latest updates on NASA missions, watch NASA TV live, and learn about our quest to reveal the unknown and benefit all humankind. However, that being said don’t take it too far. I don’t want those people. reddit.com the_data_scientist_ overview; comments; submitted; gilded; Want to join? A big part of data science is learning about the business domain you are operating in. I’ve seen stats people go down rabbit holes for weeks and come back with a set of technically correct but complete useless results. You need to explain your results, why they are significant and why someone should trust them in a way that civilians understand. The candidate must possess recent and significant experience in the following: Cookies help us deliver our Services. If you use the term “p-value” while explaining results to a client I’ll dock your pay. Search job openings, see if they fit - company salaries, reviews, and more posted by National Security Agency employees. A Sr position in a data eng. So, if you find yourself in a Catch-22 like this, I think you need to try doing something that convinces people that you can solve problems and tell stories. Passing this examination is a requirement in order to be considered for selection into a Data Scientist position. For that you’ll need PERL, Python, VB, etc. I understand if you keep that side of you under wraps around normal people. Tygar explored these problem in a famous 1999 paper called "Why Johnny Can't Encrypt." According to this pdf (https://home.pearsonvue.com/Clients/NSA-(National-Security-Agency)/DSE-Preparation-Guide.aspx) it should just be stuff that I have seen before, however I was just wondering if anyone here has taken it. Data Science Skills Build On Accounting Expertise. And the candidates seem much more qualified after a few shots. What application(s) that can store and display data is almost guaranteed to be on every clients desktop and they all know how to use? The job not only looked good because of the tasks, but also because the service offered by this company is specially interesting for me, and is something I am passionate about. I saw Paco Nathan (look him up) at a conference here in Austin, and he said something like "Chemistry isn't about test tubes". The Biden administration asked a US court Thursday to suspend litigation connected to former president Donald Trump's proposed ban on WeChat while it reviews the policy. My work product sucked and I paid the price. Hmmm, this was way longer than I thought it would be. By Bob Sullivan. Press question mark to learn the rest of the keyboard shortcuts. I expect you to be technically competent in one area and conversant in the rest. https://home.pearsonvue.com/Clients/NSA-(National-Security-Agency)/DSE-Preparation-Guide.aspx. And sometimes Access. You need to have some understanding of theory-building and how it informs the research design process. remember me reset password. At the end of the day, I'm not sure that I'm a prototypical data scientist, but I think that few people who do "data science" (whatever that means) are. If something slightly odd pops up during your analysis it could be your mistake, bad data or an interesting discovery. students and recent grads and take a chance on us. Reddit; Pocket; Flipboard; Pinterest ; Linkedin; Consumer. New, 12 comments. So you need to hack that mother. This article is more than 5 months old. If you use the term “p-value” while explaining results to a client I’ll dock your pay. But you need to have a good feel for data representation and modeling. Data Science Examination Overview Candidates for the NSA’s Data Scientist roles are asked to complete a Data Science Examination evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. And usually what they are given is crap. And if you don't fit in, you don't fit in---that's ok. More important than anything is being business savvy and actually knowing what your stakeholders want and how to achieve this. Log in or sign up in seconds. In my experience, the critical difference between a data scientist worth paying 100k+ for a data analyst that you pay 60k for is the ability to identify issues; conceptualize, model, and solve a problem; and then pilot, test and report a solution. In case you have the opportunity to maximize your knowledge, skills, initiative your... 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