Application Form (Word Doc). Application For Employment External Applicants Position: Fill & Download for Free

Hi guys, I have reviewed a bunch of them atThe Best Resume Writing Services USA - Resume Services Reviewand alsoThe 5 Best UK CV Writing Services - CV Services UK ReviewThe best ones tend to be ones with 100% money back guarantees and 100% satisfaction guarantees (and also it is better if they have been in business a long time so they know what they are doing - and have a proven record of testimonials).I have used CV/Resume services in the past and it certainly helped me get an interview much quicker. If you are good at interviews you can get the job super quick. Remember to write a good cover letter too!How To Write A Cover Letter: PrepareJust like baking a cake, you’ll need certain ingredients to craft an excellent cover letter. If you leave anything out of the mix, the result is likely to be boring and floppy.Before you even think of creating a new document on your computer, find out more about the company. You need to know what do they do, what are their work principles, what are the main benefits of working with them, etc, etc. The more you know, the more well-informed and interested you will appear. Usually the best sources for this information are the employer’s website and testimonials from current/former employees; if you can’t find something, remember: Google is your friend.Know your audience. Different companies and industries will have different standards and expectations regarding the formality and style of the letter. Gather as much information as you can about the employers, and address them accordingly with their style and policies.Most recruiters agree in one thing: employers will look for 3 things in your cover letter. If you’re smart, if you can get the job done and if you fit their corporate culture nicely.Just like the requirements shown on the posting, make sure your cover letter conveys that you are what they are looking for. Be careful, however: DO NOT say that directly or repeat the same words, make your letter say that for you. Generic statements mean generic thinking; you want to stand out from the crowd.An extra tip: in many websites, you will see guides telling you to add the recipient’s address on the top, yours at the bottom, sign it and whatnot. This works mighty fine if you’re sending it via regular mail or delivering in person, but in this day and age you’re probably stuck to e-mailing your letter or attaching a .doc or .pdf file to an online application form. Unless the application requires so, keep it simple. Add your e-mail address and telephone number after you close it. If they need your address, they can find it on your C.V. or the form you filled.Never write the same letter twice. Copy/paste material will definitely not connect with the employer, and is likely to blow your chances of scoring an interview.How To Write A Cover Letter: The ContentsBe direct, brief and always use the active voice. Your letter should not exceed one page, and as a rule, the shorter it is, the better. Recruiters have limited time, and cannot read extended autobiographies turned cover letters.If possible, find out the name of the person who will be receiving your application and address them directly (Dear _________). If not, open your letter with “Dear Sir/Madam”.First paragraph:Here is where you grab the recruiter’s attention and make them read on. Throw in a good mix of yourself and the position.Example: “As an Economics professional with high-level management experience, I am hereby applying to the position of _________ advertised on _______.”If your main qualifier is education, mention what course you have graduated from (or are studying) instead.Second paragraph:You told them why you are good in the first paragraph – in the second paragraph, you specify why this match was made in heaven. Here is also where you throw in information you know about the company, be it from themselves, employees or external publications. And as obvious as it may seem, avoid raising any red flags like mentioning you were fired from your last job. We’re here to give them reasons to hire you, not give them doubts.Example: “My skills set closely matches those needed in the _________ position, and, upon researching your company/speaking to some of your employees, my personality seems to be a fit with your company culture. I have noted _______’s growing market share by reading back issues of The Newspaper. ________ was also praised last month in The Journal for its impressive potential. I want to share in _______ success and help it realize its potential.”Third paragraph:Don’t ask what the employer can do for you; ask what YOU can do for the employer. Here is where you add relevant career goals, job and education experience, and anything else which can add to your application.Example: “I have the skills to make a substantial contribution. I have graduated from the University of Examples in 2002, and during my time at __________ the company saw a growth of X%. I have experience with the market your company targets, and I wrote my dissertation on the effects of _________ in the ________ industry.”Fourth paragraph:Now that you have made it this far, here is where you mention your CV and try to settle an appointment with the recruiter. Mention when are you available for interview, how (and at what times, if needed) can you be reached and if you intend to follow up with a call, notify them of when will you be doing so.Example: I have attached my CV for your consideration. I can be reached every day from 7AM to 8PM via phone (1234-5678) and email ([email protected]). I look forward to meeting you personally to discuss this position further.Closing:End your letter with Yours truly, and your name. Add your telephone number and e-mail under it if it is an e-mail letter.Example: Yours truly,Example E. [email protected] you send this letter, find someone to revise it for possible grammar and spelling mistakes. Few things make a worse impression than apparent lack of attention.That being done, you are now ready to send a cover letter that will help you score that job you’ve been dreaming of.So, now you know how to write a cover letter!Good luck in your job hunt!

More than who? Data Scientists with a PhD?! Probably not.I feel like MSc to PhD salary comparison is not what your question was referring to, but excuse my answer, which is honestly just based on my experiences and knowledge from ~3 years in the industry alone (+5 years in PhD).I started my Data Scientist career in the last year of my PhD, in 2017, where I had applied to tens of jobs and internships in data science. I had actually learned about the data scientist position about a year earlier, as one of my fellow PhD researchers had completed his dissertation a year earlier and joined the industry as a data scientist. Anyhow, there was one common statement in every application I had submitted: “MSc in a technical field is required, PhD is preferred”. I then received a full-time internship offer. During the offer’s phone call, the recruiter stated the following: “We’ll be paying you our highest intern rate, the PhD rate, of $….”. After joining the company, I worked among a group of 7 intern scientists supporting different teams within the company. From those 7, only one was in a master’s program, the remaining 6 were all PhDs, like myself. There were many other interns in related data analysis positions all over the company, but none of them had a position with the word “scientist” in its title. By the way, the company had multiple office locations, I am just talking about my experience in one of them.Anyhow, 6 months into my internship, I had missed an earlier chance to transition from an intern to a full-time position so I started applying for external positions, as my team had a hiring freeze and could only offer me an internship extension. I applied for several of the famous and well established employers, those big names you keep hearing about in the news. The job postings all had the same common statement I mentioned before: “MSc in a technical field is required, PhD is preferred”. In fact, I do recall at least one posting mentioned the PhD as a minimum requirement and post-doc as preferred. Anyway, I received a job offer at one of those companies and the recruiter did mention something similar to what my internship recruiter had mentioned during the initial offer call (offer comes in 2 calls), not exactly in the same words though, but the perception was similar; That as a Phd, they’ll offer me a compensation in their top ranges for the position.In the industry, I had been involved with several interviews for adding more headcount to my science team, most of the applicants I had interviewed had master’s, but the only ones who passed the screening, not just by my personal judgement, were those who either had decades of industry experience, PhDs, or both.Now after being in the industry for more than 3 years, growing my professional network both internally and externally, joining data scientist conferences such as KDD, I can tell you that I have mostly been meeting with PhDs, on fewer occasions, MSc holders, but almost never met a Data Scientist at the undergraduate degree level. I do however realize that they exist. Another thing I realized, which annoys me to be honest, because I think it’s unethical and deceptive, is that there are many employers and employees out there who are misusing the term “data scientist”. So I realize that there are those who call themselves (or their employers call them) “data scientists”, but they don’t work on research, hypothesis testing, experiments, inventing, patenting, publishing discoveries, or any of such mix of tasks that uniquely define a “scientist” from other job types. They are mostly doing automation, dashboards/charts, BI, using mouse-click tools, or at the very best importing open-source libraries as closed boxes in code. I don’t think you need to have gone through a PhD for this kind of work and probably not even a master’s.So if thess above positions are what you expect data scientists to be, then I can’t really say that a Master’s will definitely get you paid more than an undergraduate degree. But if you are indeed referring to “scientists”, then my answer is “No, a PhD will almost definitely get you paid more than a Master’s degree”, some exceptions may occur though for very unique candidates.I hope you find my answer relevant, thanks for the A2A.

“Coders” have been a below minimum wage job since 2002 - the beginning of widespread “offshore” “outsourcing”. At least in the US and by American minimum wage standards.From a “senior” (meaning normal in my world) developer’s perspective, a “coder” is a nuisance. He/she creates five bugs by fixing one. Being the last line of defense, a Principal Engineer like myself is responsible for cleaning up after coders: fixing those bugs to release a functioning product. Obviously I don’t need those little helpers no matter how cheap they are offered by the cattle wholesalers serving today’s IT. It takes me less time to fix that original bug myself. I hate when someone tells me to “keep them busy”. Minimum or six-figure wage, no one should employ “coders”. It has nothing to do with AI taking over. Their services are unneeded now.There are no junior level vacancies in my teams. Whether I hire a 20-year industry veteran or a recent grad (even a high school one - I don’t care about credentials), the title and expectations are the same. I expect new team members to get up to speed with the relevant technologies in the customary two-three weeks taken to leave the old job. Do all your tutorial-level coding in school or at home if self-taught. And come to my tight team of experts as a solid programmer, being productive from day one. I did that for 20+ years being an IT consultant. I learned everything I know on my own in my spare time.Too tough? This is Sparta! In exchange no one would ever need to ask me for a raise. When in a position, I sweep a candidate off his/her feet with an above average compensation - after they swept me off mine with their portfolio of work.Programming is creative. Every minute. Everywhere. I want to eradicate “coding” like a disease - through great libraries, reuse, simplicity/minimalism, right design patterns, flawless process, and other software development automation, I know a few things about. Not by facilitating and mitigating like MBAs. Not speculating, when the mythical AI is going to save our technology-driven civilization.Unfortunately outside of my world coders are not only common - they are actually needed. They do custom work.There are no coders at Google, Facebook, Netflix, or Uber. Not because they only hire cool kids. Not because they set the “computer science” bar higher via hard algorithmic interview exercises. Because they are consumer tech companies. No matter how complex, once designed, a consumer product is mass-produced instead of custom-built for every customer.Coders only exist in corporate IT departments and the Great Consulting Food Chain serving IT. They work on one-off solutions: bug fixes, workarounds aka “integration” to connect incompatible third-party packages, porting prehistoric black and green mainframe screens to the Web, creating one-off websites.Automating that unrewarding manual labor has been the Holy Grail of enterprise software development ever since computer keyboards replaced typewriters. Everything has failed. COBOL, 4GLs, alleged DIY tools from MS Access to Web-based CMSes like WordPress and Drupal, $100M+ Oracle and SAP ERP implementations. There is no such thing, as “business-oriented” programming languages - only butchered and bloated procedural ones with the same ifs and loops incomprehensible for an average MBA. No such thing, as DIY WYSIWYG - beyond basic brochure-like WordPress websites. No “almost-turnkey” “customizable packages” - only 100% custom ones to automate always custom business processes. ERP “customization” is a poorly disguised full-scale software development in awkward non-orthogonal programming languages. It lasts months and costs millions.Short of the mythical AI, no one in this thread has a slightest idea how to apply to today’s business process complexity, induced by intentionally ambiguous government regulations - for the lawyers and accountants to fish in the murky water, looking for loopholes… Is there a scientific way to turn one-off enterprise software into a mass-produced product? Otherwise the Earth will run out of coders. Even bootcamp graduates. Even in India.What it means? The Y2K-style enterprise software collapse. “Averted” in 2000, it will happen somewhere around 2030, bringing the worst Y2K monger scenarios to life. So either the Western civilization finds a way to get rid of low-level “coders” in the next 10–15 years, or there won’t be technology-driven Western Civilization, and obviously coders in 5o years to answer the question.Perhaps there was a need for technician-level programmers in 1960s and 70s, when programming was much simpler: with less language/library options, no integration and orchestration of third-party services accessible over Internet, but more than anything, low hardware and network capabilities for any ambition to automate complex business processes and data flows. As the hardware evolved, software projects (of the enterprise kind) took on bigger and bigger automation tasks, until stalling in the late 90s.It was an interesting phenomenon. IT wages continued to climb, but CFOs stopped seeing ROI. Part technology limitations, part the excess of overpaid incompetent engineers incapable to bring the stalled technology to the next level, it resulted in outraged CFOs attempts to fulfill their life-long dream of turning creative occupations like software engineering into $60K Accounts Receivable clerk jobs - supervised by a single genius “enterprise architect” tasked with all the creative decisions in that IT department. The essence of “offshore” “outsourcing”.It didn’t work. Just by everyone’s frustration with Quora questions along the lines of “I’ve been playing with Java for a year and still have no clue how to develop a one-page website”, it should be clear, that modern linguistic ecosystems with thousands of robust open-source libraries, not to mention specific design patterns to effectively connect them, cannot afford dumb “coders”. Whether in the good old COBOL days one could learn the single language’s syntax and keep on “coding” until retirement.Sadly, not only today’s corporate IT workforce is comprised predominantly of low-level code monkeys thanks to “offshore” “outsourcing”, it’s inevitably transformed into a “coder” environment. Being a contractor and changing jobs/companies every second year, I’ve watched that transformation between 2002 and 2014.Somewhere around 2014 (my last corporate IT contract) I started noticing recruiter emails getting worse and worse. Not exactly a revelation. Everyone knows, IT recruiters offer mostly toxic leftovers. I receive 10–20 recruiter emails a day even now, long after deactivating my Dice profile. It wasn’t as bad before. They used to offer a decent opportunity once in a while. And it should have only gotten better due to the current unprecedented demand. Instead IT jobs got more toxic. It’s not recruiters’ fault this time. No creative jobs are left in IT. Only compliant grunt (to avoid the word “slave”) ones. CFOs have won. They turned IT departments into Accounts Receivable.IT wasn’t very friendly to engineers before 2000. As soon, as Internet and open-source movement brought entrepreneurship within reach of mortals w/o a Stanford degree or “starting capital”, half of IT talent left toxic “Office Space” job environments for dot-coms. Another half was thrown under the outsourcing bus in 2002–2010.No one came back to corporate IT. Fresh grads are cramming algorithms - desperate to pass a Google interview. No one who survived the outsourcing, grew to change things in IT. Ever wondered how 30–40-something CTOs are employed almost exclusively by fresh and former startups? Very few people in that age group head Fortune Whatever IT departments, let alone internally promoted engineers, rather than externally hired non-technical MBAs.You know how MBAs think. There is a need for food pickers, janitors, handymen, and other minimum wage occupations. An MBA would add, that software coders are essential to keep information-centric services affordable - like Wal-Mart plastic we can’t imagine our life w/o. With all due respect, that plastic is stamped by robots, not manually fabricated by 12-year olds inhaling toxic fumes and being otherwise abused in subhuman work conditions.Believe you or not, corporate IT had a healthy “build vs. buy” ratio 20 years ago, steadily inching closer to being “robotized”. It used to employ smart people. Bjarne Stroustrup invented C++ while being on the payroll of a telephone company, not software one. Remember any recent software invention that came from AT&T or even Oracle? Something developed by their own researchers instead of the startups they acquired?Free of its imported poverty stigma, outsourcing is a great idea: delegating work to the right professionals. IBM? Oracle? Deloitte or Accenture selling (installing and customizing) IBM and Oracle products? There is very little difference between the capabilities and quality of the third-party and internally developed software. If there was, corporate IT wouldn’t have had its buy vs. build dilemma. It wouldn’t have employed any software engineers 20 years ago, let alone now.Granted there is a lot of waste in the man-hour happy Great IT Consulting Food Chain selling monstrous IBM and Oracle products at the top and doing custom development at the lowest boutique “solution provider” level, technology is the culprit. If there was the right technology, that kept pace with the runaway business process complexity, someone would have started using it, disrupting the Food Chain.Hardware kept that pace. Consumer tech: mobile devices/apps, social networks, and eCommerce to name a few, surpassed many daring sci-fi predictions. Why not enterprise software?I am an enterprise software developer. I’ve lived in the trenches for 25+ years, 20 of them in the US. And I am biased. I consider workflow-centric business process automation significantly more complex, than hardware and equally single-purpose consumer tech. AI or not, enterprise software development requires more everyday ingenuity, and most importantly different, next level software development tools and tactics. Todays tools and frameworks are consumer-centric.I know I am simplifying, but... the few technologies, designed specifically to combat IT atrocities: Docker containers to blindly copy the messiest dependency-heavy deployments, Akka’s “resilience” to reroute and automatically bring back “inexplicably” crashed services, and the never ending TDD tweaks: “coverage”, cucumber, etc. are just treating the symptoms, not the growing IT cancer.Nothing’s been done to help enterprise developers write better code - primarily by writing less of it. In the same industrial strength language like Java instead of inventing new “concise” ones. Anyone who’s been in the industry for a few years, has seen an equal amount of spaghetti code in any language. Quality is about the right frameworks and right patterns: leveraging them to the fullest instead of cramming those acronyms to pass an interview. Everything we are seeing now (Grails, Play, React/Node, etc.) are variations of three-tier CRUD.How many Spring users (meaning 99% of people writing Java code for living) know that it’s had a Groovy-like expression language since v.3? Comes handy to configure business rules, doesn’t it? Did you know you could do it with core Spring since 2009? Instead of prehistoric JBoss Drools. How many people ever thought of using Spring for anything more than tying their ubiquitous controller and service beans? Namely leveraging Spring’s fundamental IoC and DI patterns to capture complex and dynamic workflow configuration instead of thinking up thousands of relational database tables to store that fine-grained object hierarchy, then go through a cumbersome data migration process every time you need to add a field? How many people model business processes via fine-grained OOP instead of creating (letting some DBA create it) the flat table data mode first and then mimicking it in Java or Scala? Just execute SQL from the browser instead of such “business logic” tier.This is not AI, everyone is waiting for to get the industry rid of coders. It’s normal diligent software engineering. Lost in IT forever. And largely not applicable to simpler single-purpose consumer products. One may argue about that simplicity, noting Data Science and even AI teams employed by Facebook and even more scientifically inclined Google. Every consumer product is unambiguous and single-purpose - for the masses to comprehend and accept it. Every advanced back-end science behind it is single-purpose too. The magic of Google indexing/rating. The art of Facebook’s Big Data click and “like” analytics.Undoubtedly there are more advanced scientific projects at Google and Facebook. Why didn’t they change the enterprise world, struggling to retire COBOL ever since Y2K? Couldn’t Google spare a team of Level 6 engineers to take care of HIPAA and later Obamacare regulations? Solve it once and for all, offering everyone in the healthcare industry unified, yet configurable billing SaaS? Instead of years of bugs experienced by customers in their bills. That’s been my experience as a self-employed and self-insured individual for the last four years.Google doesn’t want to touch any custom enterprise software with a 10ft pole. Its level of comfort is 100% generic corporate Gmail and Docs. Amazon’s level of comfort is hiding generic server/network infrastructure behind a sleek IaaS front-end. It is not IBM or Oracle conspiracy to prevent Google from entering the business process automation field. And the issue is deeper, than money. Even employing $5/hr “offshore” code monkeys (obviously in greater numbers than “expensive” Westerners), corporate IT spends trillions every year: considering all the middlemen and multiplied by man-hours of unproductive “coding”: fixing bugs that create exponentially more.If it was possible to eliminate those “pain points” through science - with a few, yes, Level 6+ experts replacing millions of “discount resources”, that niche and profits could not be ignored even by the snobbiest Glass and augmented reality consumer tech elitists. Google is a public company steered by Wall Street “shareholders”. If it could solve IT problems, it would have entered that field somewhere around 2005.The last invention in business process automation (ERPs and CRMs) came in 1999: Salesforce. Which is a meticulously optimized and polished take on 1980s Oracle Forms. Its “business-oriented” language: Apex is not fundamentally different from COBOL and “4GL” COBOL clones of the early 1990s e.g. FoxPro. It is as object-oriented, as PHP.True AI is still at least a century away, like flying cars. We need to get by with Spring EL expressions. We still have our chance. Romans did - right before their civilization collapsed. Their philosophers warned them of greed and corruption. If Romans changed their ways, they could have survived till the Renaissance: da Vinci’s designs, looms, and the dawn of the industrial era. Our technology-driven civilization is facing the new Dark Age: from 2030 and until the damn AI is invented.