Nsa data scientist reddit

Nsa data scientist reddit. 3. Aug 23 – Background Investigation Interview. Based on an article I read for school from Wired. Holdren (center) operates a robotic arm within the Robotic Operations Center (ROC) as roboticist Justin Brannan (left) describes the ROC’s simulation capabilities. Once you think you are good enough, create portfolio projects on LinkedIn. Title: Senior Data Scientist Lead. data scientist- you're now ms cleo but use math to tell the future not a crystal ball/ model building. FREELANCING 101. There's a wide range of use cases both external and internal such as HR data. They'll give multiple people offers, and sometimes if you take too long to get through the process, they'll just drop you. ISRO's allotted budget for fiscal year 2013-14 is $ 950 Million, almost 19 times less, and is about 0. The NSA must not kill Santa to prevent causing a national incident They have an entire year to obtain this information. Answered July 1, 2021. A lot of people with $1M target compensation in tech are in practice a lot Data Scientist Masters of Science 5 yrs $108,000 per year $16,000 bonus Coppell, TX Considering my current options, looking in other cities and other states, and am frustrated/not confident with data available online. But not in production, have a little to almost no experience in deploying them. • 5 yr. Standard stuff - data manipulation and some trivia questions. Timing: The NSA makes an application to a special “FISA” court every 90 days, showing why this data needs to be collected. Don’t forget df. Here's a layman's view: If you love data, math and analytics - be a Data Scientist. NSA advances U. fit () tbh downvote bc you know it’s true and your ego is sad. Snobbishness about Excel. I just hired a guy with a physics undergrad. Point being, find a tech job you can do in the meantime, and exercise regularly. If you do end up getting a clearance, the offer will become official and you can actually start work. So any virtual interview is going to be a little awkward so honestly I would make sure you practice with yourself speaking to your laptop/iPad/phone. It is the science of data. Some ship out very fast. You would refer to it as "Department of Defense. Still one of the hottest fields. The NSA I am told is one of the larger employers out there although you can't find public numbers on that for obvious reasons given the nature of the work. I know a few. there is no point of reference given for how this compares with hiring, especially compared with the significant growth many companies recently experienced. Yep. So he hasn't been at the NSA for 15 years Answer See 2 answers. Herpa Der this is 1970's apparently. Work life balance varies hugely based on the type of job and industry you’re working in. The growth of the FAANGs due to stock buybacks lead to a ton of demand for data scientists over the past decade. • 3 yr. On the long run as a freelancer you may make more money: MAYBE. posting this graphic to professional data scientists feels insulting. data engineer- builds data infrastructure and pipelines. dontmissth. •. Everything on the web and internet is data! Computer Science helped lay the ground work for Data Science. Mega bonus points here if you can figure out a way to attribute a dollar value to your contribution. But this is just one example, given how many devices log "security events" I think handling large data sets will only become more important. I feel sorry for any readers who think it is beneath them, or who think it somehow isn’t a “real” data science platform. For the record, we can argue what is meant by a 'data science' job (as 90% of most consist mainly of requirements gathering and data wrangling) or where and how you apply machine learning. The pay as a grad student sucks! You're paid a barely livable wage with shit health insurance. Me too probably. But then suddenly you may have to because of a new job or new project. I currently do it. Maybe you'll find a way to transfer to a role You need to understand data. I’m currently scoping out different industries to apply data science and this field has been one of interest. Animals and Pets Anime Art Cars and Motor Vehicles Crafts and DIY Culture, Race, and Ethnicity Ethics and Philosophy Fashion Food and Drink History Hobbies Law Learning and Education Military Movies Music Place Podcasts and Streamers Politics Programming Reading, Writing, and Literature Religion and Spirituality Science Tabletop Games FYI, if you try to apply to NSA, ClA, etc, it’ll take at least 1 year & 6 months to actually get cleared and have the job. This includes non-technical roles like product and marketing. NSA is a great place to work (I am very biased lol). The bullshit is wide-ranging - poor datasets, operational managers who don’t understand or value The information was gathered in horrific ways, but I don't think anyone considers its post-WWII use to be unethical. It is honestly so frustrating. Also comes with a pension. If you are a dual citizen, you may be required to renounce your non-US citizenships. Any position I want (DS, DE, DA, etc. There are 100s of university creating new masters degrees, certificates, under-grad majors. It has never been this difficult to get a data scientist job before! Reasons -. I am trying to understand when the polygraph test and psychological processing occurs. But you need to have a good feel for data representation and modeling. Tough competition - people from various backgrounds are applying for Data Scientist positions - computer engineers, tech savvy mechanical/electrical engineers, statisticians, MBAs, finance folks, Biotech engineers, you name it! it 2pb in size. Working at the NSA is similar to other large bureaucracies; The low bar for performance is easy to clear as long as you show up on time, do what your bosses tell you, and keep all your paperwork up-to-date. Average National Security Agency Data Scientist yearly pay in the United States is approximately $123,859, which meets the national average. : r/datascience. This was the case with myself too (didn't study CS or Statistics) so I'll give some advice specifically on a FAQ on this The web is full of thousands of articles, recommendations, blog posts, reviews and ratings about different courses and certificates in data science. The NSA is also in the GS-13 forever club, meaning they are not big on promotions. If you do decide to go NSA, pick one of their development programs (Cryptanalytic Computer Network Operations Development Program or Computer Network Operations Development Program). Power BI and Tableau. 1M subscribers in the datascience community. There’s a million ways. with game adding real time weather etc. Practice deep learning with online datasets or kaggle on the side. Focus on Data Science and Data Vis and learning the concepts. The NSA on the other hand is focused on CNO which is Computer Network Operations. The job market isn’t what everyone on yt says it is. Been coding since college and have a math minor. • 2 yr. I think you can get a lot of great experience there, however it is the government so it is slow in multiple ways. The NSA is just an agency that collects intelligence from computers as opposed to the CIA which collects intel from humans. I work with data scientists with a range of personalities - and they’re all great in their own way. Developing Machine learning (Supervised and Unsupervised models). If you wanna make good money working for the feds, work as a contractor. Salary information comes from 20 data points collected directly from employees, users, and past and present job advertisements on Indeed in the past 36 months. A place for data science practitioners and professionals to discuss and debate data science career… Depends on the type of data scientist. NASA's projected budget for 2013 is about $ 18 Billion, which will approximately be 0. Apps like Silent Circle and RedPhone can already encrypt your calls and send them over a data connection or Wi-Fi Data Science is the applied field, like being a lawyer. Jul 11, 2023 · Accepted Personal ID Requirements. Clearances require a lot of information to be submitted. You may also be required to take a polygraph or additional screening depending on the position. They say don’t get a masters in analytics/data science but encourage the Data science. Indeed, if you look at what people talk about as most important skills for data scientists on this sub, it’s usually business knowledge and soft skills, not very different from what’s needed from consultants. Data Analyst and Data Scientist are quite different, and I would argue its the statistical rigor and predictive modeling that sets the two apart. Data Science is a very rare field in the sense that it's like a lawyer's dream job. Freedom comes at a big price: stress and uncertainty. ago. You don't *need* a PhD to do data science. Those programs have produced many great folks. Digital Network Exploitation Analyst Development Program (DDP) This is a three-year development program that combines rotational assignments, specialized academic training and in-depth mentorship to develop expertise in the discovery and analysis of 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. A space for data science professionals to engage in discussions and debates on the subject of data science. You work with SMEs and learn about the subject and answer interesting scientific questions using relatively simple techniques (90% of the time a simple classical regression model does the job). intelligence and national security capabilities by inventing, developing and applying advancements in science and emerging technologies to our signals intelligence (SIGINT) and cybersecurity missions. Depends a lot on what you count as Data Scientist. The “Most Likely Range” reflects values within the 25th and 75th percentile of all pay data available for this role. So keep this skill Sharp. 124 votes, 185 comments. Oct 14, 2023 · Nov 22 – Interview for NSA. If you get in a development program you will pick up a lot of diversified experience. It’s becoming more and more common to have 5-6 rounds of screening, coding test, case studies, and multiple rounds of panel interviews. Feb 23 – Received CJO. Head of DS at my company is $1-2M. • 6 mo. The first and last name used to register must match It is for the NSA data scientist job Archived post. Long and lengthy. Outside of a few firms / research divisions of large tech companies, most data scientists are engineers or business people. Reddit is a network of communities where people can dive into their interests, hobbies and passions. 50. R / Python are just glorified excel with loops and catboost. Meade is the bulk of where people go Hello, I was wondering if anyone here has worked as a data scientist or in data science in counter terrorism or intelligence related fields, ie defense contractors. I applied there once for a senior data analyst position and they sent me an automated 4 hour long codility test. How to become a data scientist? There’s a million ways. The high-bar is up to you and your willingness to push the system in the direction of innovation. Data Engineers, absolutely not. Excel is one of the most widely-used data science platforms in the world. If you wanna work for the feds, just make sure you can get and hold a Top Secret clearance. Ft. If you are more of applied data scientist, it's more just statistics, programming, data experience, and general data science skills. UX / Design. This is exactly my same scenario. Terms & Policies It is for the NSA data scientist job Yes, entirely possible to get a job as a data scientist without any formal training/qualification. “You have hit a bandwidth cap. The NSA has found it vital to get a hold of whatever intelligence network Santa Claus has. The e-QIP form is extensive, and takes about 6 hours to fill out completely. If you are, figure out a way to apply data science in your job, then put it on your resume. Once they get the data, the NSA retains it for 5 years in a separate database (MARINA) accessible by only a special, authorized group (people in the RAGTIME P program). This is in theory, however most employers dont know what they want and don't have the knowledge to differentiate between roles, which is why so many data scientists are actually just data analysts. national security officials have suspected that Kaspersky Lab, founded by a computer scientist who was trained at a KGB-sponsored technical school, is a proxy of the Russian government, which under Russian law can compel the company’s assistance in intercepting communications as they move through Russian computer networks. You will be the most senior team member in this position, and you should have extensive knowledge in at the base of it, most data scientists are hired for business analytical reporting with sql, python, PowerPoint, excel, and tableau/powerbi. Pretty common for Director/Sr. Cybersecurity is a cost center and not one that companies want to spend money on. Physicists have the versatility to fit into any new tech role, data science included. Most of the skills are either included in the a master of statistics, or you cannot learn in academia (like the business There are pros/cons to starting a PhD after taking a break and swimming in money from your job in industry. Python. Passing this examination is a requirement in order to be considered for selection into a Data Scientist position. Any exceptions to the ID policy must be pre-approved by the Pearson VUE customer service center at least three business days before the schedules exam appointment. Stop meddling with the deeper AI (deep learning and stuff) for now. This thread alone is data. Looking for some insights into what skills should I learn in order to become a Data Scientist in demand. I opened it but decided to drop out of the process. mind you a normal user has no where near that space to install such a game nor a connection to handle real time data from around the world. If you read posts/comments from this sub, people are quite assertive that their path is the main path. So, no, ISRO is not taking a bite out of the poor and hungry Indian's pie. A statistics oriented degree in economics is the opposite of being self taught, that's one of the most common ways to become a data scientist. My skills are -. data analyst- plus math and identifying trends. Yet some people find the need to run a survey on reddit that 15 people take part in. A data engineer working for a major consulting firm and a data scientist working in government have very different looking jobs. Also Data Science jobs posted from the NSA for Entry - Expert level. Something I’ve realize too is that the data science stack is still very complex. Grow and adapt because Data Science requires interacting with others, draining as that is. Background in health policy and management, but invested heavily (timewise) in programming and statistics in free time. For anything truly interesting as fuck. You used to need a PhD to put an ML model in 1. They have an entire year to do anything in their power to obtain this. stack ()—it’s unpivot with a foxy attitude! reporting analyst- provides basic insights via reports. Huge opportunity cost to consider, especially with a 401k. Some PhDs qualify you for data science, because you have to analyze data, test hypotheses, build models, etc. Working in data science at NSA has been a life-changing career choice for William L. My employer plasters PhD or Dr on everything. So to say without nuance and discrimination that one should avoid data science/analytics master's entirely for a masters in stats/cs is simply misleading. Oct 3, 2013 · A personal data store hosted on US cloud servers would still be secretly searchable by the NSA, but it would allow users to have more control over their data, and keep an eye on who is using it As a follow-up to my question yesterday, I asked one of the program heads for advice on that issue. SQL. Jul 18, 2023 · Dr. You need to start thinking like a data scientist. Process can take a full year. Feb 23 – Completed SF-86. The supply of entry level workers is probably Sep 1, 2022 · How to Qualify for a Job at NSA. ) will almost certainly be filled by someone with far more YoE who’s been laid off, and Research Overview. You can literally just turn the camera on and answer a random question. Sooner or later you will need to impose structure on data or the data that is given to you will be highly structured. Career. First of all, being your own boss has upsides (you decide when, on what and with who you work) and downsides (you need to find clients, fight for money, manage scope creep). Tenure length: 8 Years (5 as normal DS, 2 as Senior, 1 as Senior Lead) Location: St Louis (office) $ Remote: Currently working from home (St Louis area) Salary: $137,500. Start with Python for Everyone, then go Intermediate Python, then Data Visualization, then Data Science. Apr 22, 2024 · The average Data Scientist base salary at National Security Agency is $132K per year. Reply. Please note that all salary figures are Very worth it. FYI, if you try to apply to NSA, ClA, etc, it’ll take at least 1 year & 6 months to actually get cleared and have the job. Report. My fear is not your personality type and DS, it is that as a DS you have faith in Myers-Briggs. For senior data science roles outside of big tech I think a reasonable range to end up at is €70k-90k. mhwalker. Some data science problems can only be solved with deep learning. Web development is in super high demand because the industry keeps fragmenting. g. For years, U. Share Sort by: Learn Data Science using Reddit! If not, get a job. this is what I've seen being the biggest components. To further appease our stock holders, purchase more blocks of bandwidth at $20/kb. Not much, if any calculus. NSA has a few locations - Ft Meade (This is there HQ, main one), Texas, Hawaii Colorado and Georgia I believe. When data science was just starting out as a separate entity with the new technology, physicists were the go-to group to get in your open positions. Yes the salary sucks, but you have a lot of time off for code reds/yellow/blue and holidays. 6. One of our directors is a physics PhD. Answer See 1 answer. . The demand on Data Scientists is exaggerated? I keep hearing about "how much data we generate" and "how all of this data keeps valuable insights" but I can't see any demand on Data Scientists. We also boast the largest in-house research organization in the Intelligence Community (IC), with experts in If they offer you a position, it will be conditional on getting a clearance, which can take over a year. Misconception #4: Only technical folks have a portfolio. It covers the traditional statistics stuff for the most part, though a few topics are not covered in as much depth because they're deemed less relevant to data science, e. As a result a lot of incompetent people worked their way up the ladder at companies without actually developing any good best practices. Reply reply. 40 hour work week, with on call time, which is pretty standard. Oh I can help you out here. About me - I have almost 4 YOE in analytics. They say get a masters/PhD in “ “ and that’s the only way in. For the billionth time, the data science job market for people with 0-4 years is so saturated. Talk to your supervisor about career aspirations at year-end/mid-year reviews. Cybersecurity is the growth area but there should be more opportunity for advancement in data science. The four-page Data Science Cheatsheet can be found here, and I hope it's helpful to those looking to review or brush up on machine learning concepts. July 23 – Information requested about SF-86. Checkout these 4 real take-home challenges from Asana, PayPal, CVS, and UnitedHealth to get a sense of what you might face in a take-home test. Data Science. Competitors to Dark Trace, but definitely not Dark Trace. Reddit iOS Reddit Android Reddit Premium About Reddit Advertise Blog Careers Press. S. I still don’t think I’m qualified for an analyst position. I would like to be open about salaries as it gives each of us more information and power when looking for jobs or negotiating. The most senior ML ICs in tech should clear $1M. ruggerbear. Which means everything from making Iranian centrifuges go vroooom to threat hunting on Ukrainian classified networks. Proper Identification (ID) is required at time of admittance for your exam. How should I prepare for an interview at National Security Agency? Asked July 1, 2021. 5% of the total US budget. In tech, the concept of a portfolio is generally tied to the following roles: Software Engineering. Context: 23M with 1 YoE as a DE/DS in healthcare, 1 YoE internships & research. That was my situation going in and I've found it helpful. Data Scientists, yes. Feel free to leave any suggestions and star/save the PDF for reference. Greed is a strong driver and without any incentive, most people would probably just sit on their couch and do nothing most of the time. But I think that you can build a strong portfolio for any type of role. Requires complete background investigation and passing polygraph. We have time based as we have other offices around the world, so I’m on call from 9 AM to 8 PM, where I’m working from 9-5. It’s a good resume builder if you want to do cyber in the future as well. FYI: If You're New to the Industry, the Data Science Job Market is Saturated. Show ID samples ». hypothesis testing is covered, but not in massive detail, and validation of linear models for use in inference rather than prediction is not covered. Jobs with 6 digit compensation (besides software engineering and Data Science) Data Engineer (either SQL developer, python, ETL Developer) Data Architect (cloud Data Architect can even get 200k+) BI Engineer (should have good stakeholder engagement skills) software engineer in Test (lead role) or Test Solution Architect. [deleted] Working as a data scientist at a University, department of health services research. . SQL is only boring if your data and logic are boring. com, the center collects the contents of private emails, cell phone The effect of AI solving step 2 is very similar to what we saw over the last 10 years with Python/R and their associated ML frameworks making it easier for data scientists to train and deploy models - more models = more demand for more models = more demand for less experienced data scientists. When you work in the classified world, as you get access, you're also given information that tells you what does and does not exist or get discussed with the outside world. Uh Below are the difference between a data scientist and a data engineer: Data Scientist vs Data Engineer Role: A Data Scientist uses advanced data techniques to derive business insights, such as clustering, neural networks, decision trees, etc. Physics is data science. It basically allows you do most of the work in the database itself. Also, it could take close to a year to ship out in the military, but that’s more of a supply/demand thing. By analogy, then, even if it was ethically wrong for the NSA to collect this data, it would not be wrong to use it for research purposes. Ask around. (Incidentally, the acceptance of Nazi scientists after the war may be a bit less clear-cut). I've seen many of them end up working for great startups out in California and elsewhere after leaving the gov. But for most projects deep learning is not applicable or unnecessary. Well, you likely wouldn't actually tell a future employer that you worked at NSA. Binney said that an analyst today can run one simple query across the NSA's various databases, only to become immediately overloaded with information. People want to pay for data science because of the value it can unlock. Yes, it's in R. 5. The average additional pay is $5K per year, which could include cash bonus, stock, commission, profit sharing or tips. Yes there are, currently work for a Cyber Security using Data Science to detection on network traffic. The bullshit is wide-ranging - poor datasets, operational managers who don’t understand or value ADMIN MOD • [Post Game Thread] The Minnesota Timberwolves (1-3) defeat the Dallas Mavericks (3-1), 105-100, to extend the series behind 29/10/9 from Anthony Edwards. Degrees in data science itself aren't needed, and to be honest most employers prefer people with traditional backgrounds because theres a lot of crap DS programs out there. Company/Industry: Large corporation in biotech/agrotech. Extreme TL;DR version: SQL + Python or R with Python being significantly more popular. The answer should really be: some data science master's are worth avoiding. Related Science Data science Sciences forward back r/britishcolumbia r/BritishColumbia is dedicated to all things related to the Canadian province of British Columbia, situated on the stunning West Coast. Binney left the NSA a month after the September 11 attacks. The agency hires computer scientists, data scientists, mathematicians and others with technical degrees, but it also values security-related credentials in the at the last government agency I interviewed with I got a simple R test. The amount of hours we work is directly proportional to what scope of work we say we’re going to get done. Just pause for a second and think of the word Data Science. We use claims data, but also routinely collected data from gp practices' and hospitals' information systems. this feels like it's pushing an agenda. The Icing Research Tunnel (IRT) is the longest Eightstream. Read more about how NSA is leading the way in this field and why it's a great place to work. Lots of ‘got you’ type of questions like ‘estimate the number of cows in the country’ because my ability to estimate farm life is relevant how? The most useful review selected by Indeed. tnbd. 33% of the total Indian budget. Eventually we reached the point where he recommended that, if my ethics allowed it, someone with my personality (whatever that means) would be best suited to a stable, long-term data science position (correct in my case), and that the only place for that is with the NSA or the US military. The FBI is the one I’ve done the least research on but from what I understand they have the most limited capabilities offensively since they don If you’re interested in the Data Science Development Program, search for data scientist. DS is a broad church. Science is built on the linear model. 100s of bootcamps, etc. They must attempt again and again until the year passes. 10-15 years ago, you had web designers, front-end developers (html,css,js A primer on programming languages for data science. But I'm specifically referencing a job where a significant amount of time is spent building a detailed statistical/ML model. If you love building things, interacting with data and constantly learning new things - be a Web Developer. It's also crucial to understand the business problem. The NSA Data Center is a mammoth facility being built in Utah, which purpose is to collect, store, decipher, & analyze immense amounts of the world's communications in the hopes of stopping acts of terrorism against the U. Data engineer here. I imagine the future would be “insert word here” and science attached to the back end of it. Christyl Johnson, Deputy Center Director for Technology and Research Investments at Goddard (right), observes the demonstration. Executives use the insights from your work to guide and back their decisions. Most data scientists are applied data scientists and use existing algorithms. Beware that contractors are easy to fire and you won't Eightstream. In fact, fairly commonplace. A Data Scientist is a dream job for many people who love data and statistical analysis but things are often less enjoyable…. New comments cannot be posted and votes cannot be cast. This seems to be under represented in “how to be a data scientist” posts but it is very important. NSA will provide you a lot of free training and invaluable experience as a government employee. Many people on this sub are trying to break into data science from adjacent fields. GreyStomp. I worked in-person and eventually got a call from a company in another state that said they'd be happy for me to just stay where i was. " Paycharts can be googled. I feel like 9/11 is fairly low for a data scientist compared to private sector, but hey I guess someone out there is a fairly recent grad. On the general salary situation. I love tickling my brain with interesting problems across software and data, but lately, I’ve been feeling that it’s basically impossible for me to get ahead of my peers in this market. Start simple, then add complexity if necessary. It also looks good on a resume for life. Jun 12, 2013 · But for citizens who want to guard their privacy, there are a number of options. Dir/ VP of DS or ML at large tech companies to be in low to mid 7 figures. cl ty xc rq re qg ks ji hu bx