How to Be a Cross-Functional Job Seeker

How to Be a Cross-Functional Job SeekerHow to Be a Cross-Functional Job Seeker Todays job seekers must go above and beyond to stand out to employers if they want to land a job .Having a competitive advantage in the workforce requires job seekers to understand what skills are in demand by employers and how they can become easily trained upon being hired.One thing job seekers can do to tischset themselves apart is to position themselves as a cross-functional job seeker. Now, youre probably wondering what this means for job seekers, especially when the most common term associated with cross-functional is teamwork. Lets find out what it means to be a cross-functional job seeker.A cross-functional job seeker has a jack-of-all-trades quality. Job seekers who are cross-functional take the time to get their feet wet in a variety of skills. This helps them diversify their skills set and make them easier to train when applying for jobs.Cross-functional job seekers are als o individuals who are experts in one area but have a variety of skills under their belt. For example, lets say you have a B.S. in statistics. If youre hoping to become a cross-functional statistician, you could build upon your current knowledge by gaining experience in market research or finance. Because of your math background, this would make you an appealing candidate to employers hiring market research analysts or financial analysts .As you can tell, being a cross-functional job seeker allows you to create more flexibility in your career. If youre wondering how you can become a cross-functional job seeker, here are some tips to get you startedCross-functional job seekers are very specific with their goals. Just like a cross-functional team, the different skills you gain must help you reach a common career goal , too.The goal you create for your job search will set the stage for the skills and experience you decide to gain. For example, if youre hoping to break into a new i ndustry, then youll need to obtain the skills required in order to be successful.To create a directional goal, research different opportunities within your field. Take time to read job descriptions and learn about in-demand skills within your field. If you distitelbild similar skills demanded by different job postings, consider adding those skills to your professional toolbox, too.Most career paths today are very diverse because of the number of specializations available. When marketing yourself as a cross-functional job seeker, obtain skills and experience that relate to your field, but also set you apart at the same time.A common issue job seekers have when diversifying their skills and experience is that they only familiarize themselves with different areas of expertise they dont take time to become an expert in those different skills.When gaining new skills, you should instead target your expertise and make your skills more specific. Targeting your expertise requires an investment in continuous learning .Take advantage of opportunities to develop your unique skills and build accomplishments you can add to your portfolio. This way, when you market yourself as a cross-functional applicant, youll increase your credibility by having something to show for on your resume and cover letter.To effectively market your different skills, you must be very careful when writing your resume and cover letter. Employers are definitely interested in candidates who have a diverse set of skills. However, they want your skills to be applicable to the position theyre hiring for.For example, lets say youre a public relations professional who has experience in content marketing, social media, and event planning. You just discovered a job opening with an events company and youre trying to figure out how to write a customized resume and cover letter. Although you have a diverse background in PR, it makes sense to market your events experience to the employer. This way, you can effectively market your skills for the right position.The great thing about having a variety of skills is that it gives you the opportunity to be more flexible in your job search . Flexibility is an important characteristic of cross-functional job seekers because it gives you the opportunity to apply for different jobs and be easily trained once hired.When it comes to being a cross-functional job seeker, its about gaining skills to help you achieve your goals and advance your career. Even if its something as simple as learning how to use a new piece of technology employers in your field are using, this skill can set you apart from other job seekers.

How to maintain friendships when you have a busy career

How to maintain friendships when you have a busy careerHow to maintain friendships when you have a busy careerMonday morning hits and you roll out of bed, into work, and eventually head out for a long commute. By the time you get home, you wish you had the energy to meet up with a friend for dinner, but youre exhausted, so you push it until the weekend and then you never meet up. This isnt the first time.Heres how to actively invest in friendships when you have a busy career.Why you should strive to keep your friendships aliveBut first, heres why its so worthwhile to keep up friendships - not just for your life, but for your career in particular.Andrea Bonior, Ph.D., author of The Friendship Fix, features advice from Shasta Nelson, founder of womens friendship site GirlfriendCircles, in a HuffPost article.Nelson talks about why friendship should be a focus, even with packed schedule.Health-wise, there are few things that will make as big of an impact on our longevity and decreased s tress-levels as having a circle of friends. Making our friendships our priority isnt just a nice-to-have-if-we-have-time, but a necessity of a healthy, happy and meaningful life, Nelson tells the publication.So take time to see your friends, and/or make new ones - it just might make you feel more fulfilled.Pay up front to keep yourself from breaking plansForking over money for an activity in advance is a way to get time in with your friends when youre busy,Kate Antoniades writesin a Corporette article, based on recommendations from readers.To make yourself more likely to go out and do something with a friend, take advantage of a Groupon or Living Social deal, or other prepaid offer. Its harder to postpone a get-together or cancel plans when youve already spent the money. Now youll have no excuse not to meet a friend to take a barre class or check out a restaurant youve never tried, she writes.Scaled-back plans are better than none at allSome time spent with friends is better than n one, so get creative.Alex Cavoulacos, co-founder of The Muse, tells the publication, to make time for hobbies, passions, and relationships outside of work, Ive made sure to have a short version of what Id ideally love to do for busy weeks. Id rather have a nice long dinner with a friend if I can, but during a busy week, catching a 45-minute coffee during the day is better than not seeing friends at all.Realize that both work and friendships need attentionHBRsheds light on why this is important.Progressing at work and maintaining friendships may seem mutually exclusive, given the time and effort that both involve, but theyre not. Go ahead and set ambitious career goals, but dont sacrifice close ties in the process give each one the energy required. Career and friendships can reinforce each other, as when friends at different firms get together to share big-picture career insights, inspiring each persons passion for professional growth, it says.Your friendships dont have to suffer bec ause of your schedule.

Navy Sails Into Supply Chain with Metal 3D Printing

Navy Sails Into Supply Chain with Metal 3D Printing Navy Sails Into Supply Chain with Metal 3D Printing Navy Sails Into Supply Chain with Metal 3D Printing It is a beginning. The U.S. Navy builds and sails some of the worlds largest and most powerful vessels and those vessels depend on a wide range of advanced systems and machinery to operate. Now, the Navy is moving toward advanced manufacturing of some of the smallest parts of the biggest ships, approving 3D printing of a drain strainer for a steam line on the aircraft carrier USS Harry S Truman. Shipbuilders say it is the first step one that was six years in the making - toward integrating additive manufacturing into the supply chain. The technology is disruptive, it is new, and it is growing quickly, said John Ralls, an engineering manager focusing on additive manufacturing for Newport News Shipbuilding division of Huntington Ingalls Industries. This is the first approval, the first domino to fall. ASME.orgs Editors Pick: Fight Climate Change, Build the Wall! Top Story: Using the Eyes of Killer Shrimp to Design a Super Camera Naval Sea Systems Commandlast year approved 3D printing of the part after a five- to six-year effort by HII to fully test and establish technical standards for fabrication. The strainer will be installed for a one-year test period. Ralls, while excited about the technology, said filling the knowledge gaps in the absence or limited development of 3D printing standards was a necessary building block in adoption of the technology. We took about five years to address the knowledge gaps, he said. There was very little information. Which are the right standards to apply? There was a strong focus on technological rigor. Navy and Marine Corps engineers are exploring new ways of integrating 3D printing into their day-to-day operations. Image: Navy.mil HII worked with and later partnered with printer manufacturer 3D Systems to produce the part and develop appropriate standards. 3D Systems installed its ProX DMP 320 high-performance metal additive manufacturing system at the Newport News shipyard. It is capable of printing 3D metal, marine-based alloy parts for fabrication or castings. Neal Orringer, 3D Systems vice president, says NAVSEA has lagged other services in instituting advanced manufacturing but it also presents different obstacles. We had to learn about our own unique maritime requirements, he said. Shipbuilding has a host of different standards. One of the key challenges was to demonstrate repeatability and quality control while printing a part. To do that, the developers relied on sensors developed by 3D Systems that can be placed directly into each layer of the printed object. We can track exactly how the part is being built, archive it and report every detail, Orringer said. We can conduct inspections on each layer while it is being built. While the strainer may be small, It represents the first step in the process toward broader application, Ralls said. Technical standards are not yet in place. We laid that foundation for future work. Theres a lot of future work at Newport News. Ralls notes the shipyard has some of the most complex machinery on the planet and the list of manufacturers and suppliers is long. One of the goals is to provide leadership to suppliers and accelerate the adoption of additive manufacturing. Right now this is the tip of the iceberg in our industry, Ralls said. We want to make sure they have the right level of rigor in their design and product. The Navy has been using additive manufacturing for several years, but the use of 3D printed metal parts is a newer concept. The test articles passed functional and environmental testing, which included material, welding, shock, vibration, hydrostatic, and operational steam. They will continue to be evaluated while installed within a low-temperature and low-pressure saturated steam system. The prototype assembly will be removed for analysis and inspection after the test and evaluation period. The Naval Air Systems Command already is moving toward greater implantation of 3D printed parts. In 2016, it successfully tested a 3D printed titanium engine nacelle link and attachment on a MV-22B Osprey. More recently, it used a 3D printed flip-top valve on a T-45 Goshawk breathing mask. The command said 300 valves were printed within one month, critical to a training program. It estimates some 1,000 parts have been approved for use across the fleet by the end of 2018. Orringer notes that meeting marine standards required reworking some of the tools for parts fabrication. Our machines result in close to zero oxygen content, he said. Oxidation is a problem, and important when fighting corrosion. As the partnership between Newport News Shipbuilding and 3D Systems continues, Ralls and Orringer are looking at a variety of metals and alloys. We now use titanium for medical devices, Orringer said. But it may not be easy to cast titanium. But if we can 3D print it, maybe well see a greater adoption of titanium in other components of shipbuilding. More Exclusive Content from ASME.org: The Rise from BattleBot to Corporate Robot Artificial and 3D-Printed Skin Advances for Robots, Humans 3D-Printed Cement Improves Crack Resistance Shipbuilding has a host of different standards. One of the key challenges was to demonstrate repeatability and quality control while printing a part.Neil Orringer, 3D Systems

How to Respond to Pushback During Salary Negotiation

How to Respond to Pushback During Salary Negotiation How to Respond to Pushback During Salary Negotiation We’re often told, “Women don’t ask” as partial justification for the gender pay gap. But when women (or men, for that matter) do  ask, the answer isn’t always going to be “Yes.” Sometimes, despite negotiating strongly and confidently stating your value to an employer, your manager or a prospective employer may simply push back on your request for the salary that you know you’re worth, holding firm to their initial figure. Here’s what to do if you find yourself getting pushback during salary negotiations: If you hear:  â€œThe salary on this position is set by HR- I really can’t go up at all.” Then try saying something like this: “I understand exactly where you’re coming from, and what you’re saying makes perfect sense. From my perspective, I’ve spent a considerable amount of time researching the standard salary range for this position in our area, and based on my experience level, I do believe that the figure should be a bit higher. Would it be possible for you to share these thoughts with HR and get back to me?” Keep in mind: To use this approach, it’s important to have actually done your research first; you need to have hard data to back up your assertions. You might even bring printouts of your findings to your negotiation meeting and provide a copy to the manager, or offer to share a copy with HR. Also, if you’re negotiating for a new position, be aware that you should only use this approach if you’re willing to risk losing the current offer. If you feel strongly that you won’t take the job unless the salary comes up to the level that you want, then this is a great strategy. But if you will be devastated if the hiring team offers the position to someone else who is less picky about salary, then don’t use it. If you hear: “My hands are tied on the salary- it’s based on the corporate band for this level of employee.” Then try saying something like this: “I definitely understand, and I’m wondering if we might be able to make a case together to HR about my unique credentials and experience. I’ve done quite a bit in my previous roles that I feel justifies my move into the next salary band.” Keep in mind: If you try this, be sure that you’re prepared to spell out exactly what you’ve achieved that makes you rise above other candidates. Hard data is critical here- your goal is to be able to quantify your achievements and prove your value through specific accomplishments. For example, if your fundraising efforts grew your department’s contributions by 30% last year, be sure that’s on your resume and be ready to talk about it in detail. If you hear:  â€œI can’t bump up the salary offer, but we may be able to add a little more vacation time instead.” Then try saying something like this:  â€œI really appreciate that, and benefits are an important part of the package. But I would be more comfortable if we could find a way to meet in the middle about the salary. Is there any way to find flexibility in that number, given my experience level and strong credentials for the position?” Keep in mind:  As above, if you refer to your credentials as a bargaining chip, be prepared to showcase specific quantifiable achievements. If you don’t win with this salary negotiation and still want the job, all is not lost- you can shift gears to negotiating for more benefits. There’s no guarantee that any specific negotiation efforts will prove fruitful since the outcome depends on several factors that are not in your control (like the budget of the department and the mood of the manager). But by continuing to push back against salary negotiation pushback, you just might talk your way into the number you want. Wish you could talk through your job search and career questions with someone? SIGN UP FOR CAREER COACHING

Life Aboard a Coast Guard Cutter

Life Aboard a Coast Guard Cutter Life Aboard a Coast Guard Cutter Reveille, Reveille, Reveille - Up, up all late sleepers. You’re tuned to WMEC Forward 9-1-1 on your radio dial. The skies are clear, the temperature is 86 degrees, and we’re currently about 15 nautical miles off the coast of the northern claw of Haiti.” BMC James Jordan’s voice rumbles over the intercom through passageways and berthing areas of the  CGC Forward (WMEC-911) with thumping hip-hop music in the background. The crew of the Forward wakes up to Jordan’s booming radio personality voice just about every morning they’re underway. This is the cue for groggy mid-watchers to roll out of their racks and start another long workday. A Day in the Life This is the rarely advertised and seldom-celebrated life of the men and women who work on the Coast Guard’s more than 31 medium-and high-endurance cutters. A Coast Guard cutter is a fusion of young and old sailors, those with years of sea time and those with days, those who have traveled the world and those who have never left their hometown. Jordan recites the weather and the plan of the day for the rousing crewmembers, while never breaking from the disc jockey character he plays so well. In a world where routine and tradition are often set aside for operational needs, this is a welcome recurring event. “You know you’re doing a good thing when you can make people look forward to waking up in the morning,” said Jordan. These men and women spend more than 185 days on average away from their family and friends, and aside from the occasional grumble or homesick remark, the men and women of the Forward are happy on the 270 feet they call home. “Underway duty is not necessarily harder (than shore duty), just a different lifestyle. In the end, the missions are a little different, but the goal is always the same â€" excellence,” said BMC George Smith, the chief of the Forward’s deck division. Every aspect of underway life is vastly different from shore duty at a station, a group or a support unit. People underway long to pull into port to hear the voice of a loved one, while at the same time rounding off an eight-hour workday and eight hours of watch. Mess cooks sweat in a hot scullery washing dishes for 14 hours and desire to be on the bridge or in the engine room learning the trades that may someday be their career. “When you’re on land, you have more chances to participate in your community, but when you’re on a cutter, that is your community,” said Smith. The fact that everything is different is just one of the challenges a newly assigned basic training or class “A” school graduate faces when reporting aboard a cutter. Seamen, firemen, and junior petty officers gather on the mess deck of the Forward just about every night to become proficient in damage control, the only hope the crew will have to save their ship if something should happen underway. The crew is taught firefighting, plugging, patching, dewatering and basic first aid. They are required to know the location of every dewatering pump and firefighting station onboard. This rigorous training is squeezed in between their normal eight-hour workday and eight hours of watch. Skills Always Being Tested Everyone on the ship has his or her skills tested on a regular basis. Every day is usually marked by fire drills, boat lowering details, law enforcement boardings or flight quarters. Every operation requires the participation of everyone onboard. Senior officers and chiefs walk young officers and enlisted members through every imaginable damage control scenario aboard the Forward on a regularbasis. The ship is transformed into a classroom, where mock fires and engine causalities consume the boat. Ensigns and lieutenants junior grade send repair parties and fire teams out to stop imaginary flooding and fires; young petty officers lead firefighting teams into the engine room; all the while their senior leadership prompts them on the correct procedures and methods. “It’s so important that they learn these skills,” said CWO2 David Cornelius, the main propulsion assistant on board the Forward. “It’s not like your house where you can just go out on your front lawn and wait for the fire department. On a ship, you’ve got nowhere to go.” Law enforcement boardings are an equally complicated and important mission. Within hours of becoming the command tasking unit for Coast Guard assets participating in Operation Able Sentry, an operation aimed at deterring illegal migration off the coast of Haiti, the crew of the Forward had already conducted two boardings and was following another seemingly suspicious sailboat in the Windward Passage in the Caribbean Sea. Boardings are an all-hands evolution and come at all hours of the day and night. On April 22, at about 11 p.m., the boarding team was awakened to board a vessel the bridge watch spotted leaving Haiti. The Forward was under strict orders to board any vessel departing Haitian waters. A handful of enlisted members and two officers were chosen to go on the boarding. The six men and women climbed down a ladder from the safety of the cutter to a waiting Coast Guard small boat in the black of night. Because the captain of the 82-foot cargo ship spoke little English, a Haitian interpreter accompanied the team. In heavy seas, the team motored over to a third-world style vessel consumed by rust, corrosion, and filth. The boarding team had to leap aboard at the risk of falling in the dark Caribbean Sea. Once aboard the rickety old cargo ship, the boarding team fanned out and checked every space for drugs, migrants, and weapons, taking care not to slip through one of the many rust holes that dotted the interior and exterior of the ship. The boarding officer and assistant boarding officer headed to the bridge to check passports, visas and shipping documents. Even though there were only six Coast Guardsmen on board the cargo ship, there were many more back at the Forward supporting them. The combat control center kept close contact with the 7th District and reported every detail of the boarding back to them. Electronics technicians controlled cameras and spotlights, helping officers and chiefs on the bridge keep a sharp lookout for the men and women sent to board a virtually unknown vessel. Deckhands waited on the Forward’s boat deck to pull their shipmates to safety after their mission was complete. Engineers responded to every speed and pitch command from the personnel on the bridge. There was even a cook in the galley preparing a hot meal for the crew after the boarding was complete. Each department, each division and each person on board the Forward rely upon one another to accomplish their missions. Cutter teams all across the Coast Guard are answering the call to duty. The commandant of the Coast Guard has temporarily ordered the increase of patrol lengths for all the medium and high endurance cutters in the fleet by 10 days and decreased the frequency of mid-patrol breaks for the crew in response to the nation’s national security needs at home and abroad. This means less time at home with loved ones and less time in port where a phone call can be made. The crew of the Forward is aware of the change, but few seem concerned. “This may sound strange coming from a guy with three kids and a wife at home, but we have a job to do out here,” said Jordan. “We’re going to do that job no matter how long it takes.” No matter how long their patrols are, the crew of the Forward will continue to operate with the rest of the cutter fleet. Crews will patrol the waters of faraway lands and those close to home just as they have done for the past 200 years.

Job Search Strategies for Success

Job Search Strategies for Success Job Search Strategies for Success 6Job hunting can be a tedious task, and with hiring trends continuing to stagnate, some job seekers are losing their focus. So in an environment where you are sending out hundreds of applications, not getting a response or going to interviews, or not getting a call back, how do you continue to be a focused job seeker when you feel like it is all going wrong? Create a job seeking strategy! Having a strategy or a plan can help in finding you your dream job. Here are five steps to include when creating a job seeking strategy: Choose the right timing.  Search and apply for jobs when you are most alert and productive. Maybe you are most awake in the morning, maybe in the afternoon. Use that time of the day to sit down and look for jobs online or make your rounds to hiring companies in your area. A positive and alert personality leaves a better impression. Keep an open mind.  Don’t limit yourself to job titles you feel comfortable with or you think you will be qualified for. Titles do not always define the job responsibilities or qualifications. Using specific job titles can drastically limit the number of positions you find. Think outside the box for other potential titles that could fit what you are looking for. Customize.  Create customized cover letters and resumes for EVERY application you send in. Whether these documents are being read by humans or being scanned by Applicant Tracking Systems, customized letters that are free from errors show employers that you have attention to detail, care about the position, and want to be involved with their organization. At the end of the day, this can be the difference between an interview and the trash bin. Target your applications.  Apply to jobs that fit your qualifications, not every single job ad you come across. The time you spend sending out hundreds of blanket documents to companies you have no interest in and jobs you are not qualified for could be time invested in a few well-matched opportunities you have a lot of potential of landing. Think quality, not quantity. Network. Take advantage of networking opportunities, even when you hate networking. The more you engage in targeted networking the more real connections you will make that could produce sustainable leads. Don’t be afraid to toot your own horn either, but keep it professional. To keep your head in the game, make a plan and be persistent. Set a time of day that works best for you, attend networking events, apply to positions that match your qualifications, and create customized documents. The hard work you put in now will pay off later. Do you have job search strategies? Share your tips and ideas in the comment section below!

Data Scientist Resume 2019 Guide to Data Science Resume [Samples]

Data Scientist Resume 2019 Guide to Data Science Resume [Samples] Data Scientist Resume 2019 Guide to Data Science Resume [Samples] 650%. That's how much the demand for data scientists has grown since 2012. In the US alone, there are roughly 35,000 people skilled in data science, with hundreds of companies lining up to hire them. According to LinkedIn's 2017 U.S. Emerging Jobs Report, data scientist has been ranked second in its Top 20 List of Emerging Jobs, with a 6.5x jump in growth in the 2012-2017 period, right behind Machine Learning Engineer. With such astronomical growth in the demand for this role, you'd think bagging a data scientist role would be a piece of cake. Well, think harder. How do you think you'd go about getting a data science job? You think you just need to get a certification and you're done? Well, there's one tiny step missing in that trajectory. The data science resume. That singular piece of document which will make or break your chances of getting shortlisted. You might be able to process hundreds of TBs of data for gleaning valuable insights, but if your machine learning resume lacks the punch, it'll all be for nothing. Fret not. The experts at Hiration have made hundreds of data science resumes, and we've helped professionals land those high-paying gigs you read about in Amazon and Google. So trust us when we say that we know what we're talking about. Our 2019 Guide to Data Scientist Resume will: Show you how to prepare a machine learning resume that will get you shortlisted Nuances of a data science resumes Do's and Don'ts of a data science resume Sections of a machine learning resume Data Scientist Resume Samples, Data Scientist Resume Examples Ready-to-use Resume Templates to get you started! Our in-house resume experts have created a state-of-the-art online resume builder containing ready-to-use content templates and ATS-friendly resume designs to give you an edge over others! Don't believe us? Try it for yourself! Our 2019 Guide to Data Scientist Resumes will broadly talk about the following: Look at the below-given data science resume sample to see how a finished data scientist resume looks like: Why Do You Need a Data Scientist Resume? Now that you broadly understand the demand for data scientists, and how it's only set to go up in the next 5-10 years, let's talk about data science resumes. You'd think that with such an incredible demand, all you need to do is just walk in and you'll be greeted with open arms, right? Well. Here's the thing. Data is the new currency. Most companies realized it before it became a buzzword. And data scientists (along with ML/AI professionals) are going to rule the job market in the foreseeable future. And you know that? Data scientists know it all too well. It doesn't matter if you're a startup selling dog footwear or a Fortune 500 company. Companies know that there's no growth if there's no data. They know that without data, there's only so much they can do. But with data...well that changes things. Online courses decided to join the bandwagon when data scientists became the new rockstars. Suddenly, the world was flooded with online courses that promised the stuff of dreams. You know $200k salary, benefits, remote work - the whole extravaganza. So who in their right minds wouldn't want a piece of that? Before anyone could figure out what was happening, suddenly everyone was a data scientist. All you had to do was sit at home and complete the course in a few months...and bam! You're a data science professional. While the demand is rising as we speak, the market has been flooded with data science professionals, with only a few certifications in their name. These online courses sure add a lot of value, but the recruiters now have a new problem: how to sift through all the applicants and filter out the best ones? That's where your machine learning resume comes in. A data scientist resume is an opportunity for the applicant to stand out from the crowd, to convince the recruiter that they offer more to the table than just their certifications. A data science resume will give the recruiter an idea around your qualifications - whether you only have a few projects under your belt or whether you know your way around data. Now that we know the importance of a machine learning resume, let's waste no further time and dive into the nitty-gritty of a resume for data science. Additionally, you'll find data scientist resume sample in the end to provide further clarity on how a final data scientist resume should look like. Data Scientist Resume - Best Resume Format for a Data Scientist Resume When it comes to the format for a data science resume, what all options do you have? Broadly speaking, you have three. Let's talk about the pros and cons of each. Reverse Chronological Resume Format The most conventional resume format in the market, and a darling of the recruiters, the reverse chronological resume format is the best bet for a data scientist resume. As the name suggests, this resume format entails listing out all your experiences and qualifications in reverse chronological order. This means listing out your most recent qualification/experience first, followed by the previous ones, till you reach the beginning of your trajectory. Sections in a Reverse Chronological Resume Format A data scientist resume in a reverse chronological resume format contains the following sections: Header Personal Details Title Professional Summary Technical Skills Key Skills Professional Experience Education Certification, Conferences, and Publications Additional Information It's always better to keep the target profile in mind when you're sending across your data scientist resume. Pros and Cons of a Reverse Chronological Resume Format While the reverse chronological resume format is the most preferred resume format, it's important to understand if it'd be suitable for you as an applicant or not. Below are the benefits of going for a reverse chronological resume format. ATS Optimized The reverse chronological resume format is ATS-friendly and is the industry standard when it comes to resumes. Going for this format will guarantee that your resume is effectively parsed by an ATS. Preferred by Recruiters Since the ATS is able to effectively parse resumes in the reverse chronological format, it is preferred by recruiters as well. This format allows the hiring managers to quickly scan the resume for information which they think is most relevant, thus saving a lot of valuable time. Ease of Preparation If you are a data scientist making your resume for the first time, or if resume writing is not your most preferred way of spending time (trust us, we understand!), you can simply opt for a reverse chronological resume format. All you need to do is create a timeline of your professional trajectory and expand each item in your resume. Prioritizing your most recent work experience It'd be very rare if you land a data scientist gig right out of college. Usually, a data scientist requires a certain level of experience. You don't necessarily need an IT background for pursuing data science as a career. But you don't want the recruiter to go through your earlier profiles. What do you do then? Enter the reverse chronological resume format. This format allows you to put more emphasis on your most recent work profile. Consequently, your earlier roles (which are not related to your target profile) will be sidelined in place of your most recent professional profiles. These were the benefits of going for a reverse chronological resume format. But in what all cases is it not applicable? Let's find out. Gaps in your career If there are gaps in the professional trajectory, this resume format will make it evident to the recruiter. Since the dates are mentioned for every qualification and experience, not only will the recruiter notice that, but the ATS might also disqualify you (in case you lack the required work experience). Frequent job switches If there are a lot of companies across a limited time frame, this might send a signal that you are an unstable employee who might not stick around for long. Functional Resume Format At the other end of the spectrum lies the functional resume format. Here, only the professional headers are mentioned, without diving into the details of each work profile. Instead, a separate section is created along the lines of Summary of Skills, wherein the relevant points are grouped under the appropriate skills. To clarify, the experts at Hiration don't particularly recommend this resume format. That being said, this resume format is ideal for those who have a lot of gaps in their professional trajectory, or those who have a history of frequently switching jobs. Following are the pros and cons of using the functional resume format: PROS Covers employment gaps Since this resume format focuses on skills over the actual professional trajectory, this format is suitable for those professionals who have a lot of gap in their career. Addresses the issue of job switches The emphasis on skills allows the applicant to put the focus on skills, thus allowing the recruiter to gloss over the factor of frequently switching jobs. CONS Not ATS-friendly The functional resume format is not Suspicious to recruiters No focus on the trajectory Combination (Hybrid) Resume Format The combination resume format or the hybrid resume format is a combination of both reverse chronological resume and the functional resume. The first half of the combination resume is written using the functional format. So, the first half of the combination resume focuses and highlights a persons skills and accomplishments. The second of the combination resume is written in the reverse chronological order, which means, the professional history of a person is written in the reverse chronological order. PROS Provides the information in reverse chronological order Highlights the skills CONS Consume more time Might not comply with company-specified guidelines Writing Your Data Scientist Resume We've divided the data science resume into three stages to make the data scientist resume making the process simpler. These three stages are: Master Machine Learning Resume First Draft Data Scientist Resume and Final Data Science Resume Master Data Scientist Resume: Making the master data science resume is the proprietary method used by experts at Hiration. This makes the data scientist resume making process easier going forward. A master machine learning resume basically has all the information, and by that, we mean every single thing that you can think of adding in a data scientist resume. It is of a lot of help even in the future, when you need to update your recent data science resume in case of a job change or career change. A machine learning resume is supposed to be of 2 pages at max, but since a master data science resume contains every little detail about your career, so it can exceed to as many pages as it takes to put all that information in it. Then later in the data scientist resume making process, you can pick up the most important and valuable information from the master data science resume to make your final machine learning resume. But at the master data science resume stage, you don't have to decide what all information will go in the final data scientist resume and which will not. The idea of a master machine learning resume is just to collect all the information at a single place. For example, if you are responsible for the following duties, say: Building and optimizing classifiers Data mining Enhancing data collection Data processing Conducting ad-hoc analysis Creating automated anomaly detection systems Now, if you directly jump on making a final data scientist resume, there are high chances that you might forget to include some of the duties which you performed. In such a case, master data science resume will help you as it will be having all of the duties and responsibilities which you performed throughout your tenure in that company. The master machine learning resume works like an outline of your final data science resume. So, since you already have all the information related to your data scientist resume there in the master machine learning resume, you can tweak your final data scientist resume according to the information in the master data science resume. This process of making a machine learning resume will ensure to get you more interviews than you expect that you can get. After you've compiled all the information in the master data science resume, you will start off with making your professional experience section. First Draft for your Data Scientist Resume: In this stage, you will make the sections of the header, personal information, title, education, certifications, conferences, and publications as well as the section of additional information. Hiration Pro-Tip: After making your master machine learning resume, do save a copy of it. It will be of a lot of help in the future when you'll need to update your data scientist resume as you change your career or switch to a new job. Final Data Scientist Resume: In this stage, you need to do the following three things: First, draft the skills section. Pick out all the skills that you acquire from your professional experience section and the job description, then write them in the key skills section of your machine learning resume. Second, compose your data scientist resume summary/data scientist resume objective section. Look for the points that are the highlight of your career in your professional experience section and write them in the data scientist resume summary/data scientist resume objective section of your data science resume by rephrasing them a little. Hiration Pro-Tip: Professionals with 3+ years of experience will make a data scientist resume summary section, whereas, entry-level professionals will make a data scientist objective section. Third, highlight and bold all the important words, phrases and numbers in the sections of professional experience, certifications, conferences and publications as well as the additional information section. Now, let us see in detail, how to write each section. Data Scientist Resume Professional Experience Section A professional experience section includes all the professional work that one has done in his/her career. This section holds a lot of importance for those professionals who have extensive career history. Use the below given format to write the professional experience section of your data science resume: {Designation} | {Organization} | {Location (city, country pin)} | {Dates} (month year) Framing points in your Data Scientist Resume Professional Experience section The above-given format will be followed by cause-effect points. Most people are able to tell what they did as Data Scientists, but they are unable to explain the impact that their work had on the business. So, that's when cause-effect points come in. Cause-effect points are what demonstrates the impact of a persons works on the business. Let us see how to write the cause-effect points with the help of data science resume examples. Data Scientist Resume Example 1: Steering rapid model creation in Python Built dynamic pricing models Creating NLP models Led the development of a performance assessment pricing analysis platform Deploying ridge regression model LASSO solver to select the regularization parameters Created multivariate regression based attribution models The points in data science resume example one doesn't have the method of cause-effect used in them, hence they don't provide much information and the impact that the person had on the business. Data Scientist Resume Example 2: Steering rapid model creation in Python using Pandas, NumPy, SciKit-Learn plot.ly for data visualization Applied various machine learning techniques to build dynamic pricing models and maximize profitability Creating NLP models for Sentiment Analysis MapReduce modules for predictive analytics in Hadoop on AWS Led the development of a performance assessment pricing analysis platform by deploying k-NN Algorithm Deploying ridge regression model LASSO solver via gradient descent to select the regularization parameters Created multivariate regression based attribution models using ad stock analysis from the digital marketing data Now, by seeing data science resume example 2, you can see how using the cause-effect method to write the data science resume points is providing much more information around the impact that your work had on the business. Bucketing/Grouping your Points in your Data Scientist Professional Experience section The other elements that help bring out the best in cause-effect points are bucketing and bolding. Let us now see with the help of data scientist resume examples, how bucketing and bolding makes a difference in the machine learning resume points. Data Science Resume Example 1: Steering rapid model creation in Python using Pandas, NumPy, SciKit-Learn plot.ly for data visualization Applied various machine learning techniques to build dynamic pricing models and maximize profitability Creating NLP models for Sentiment Analysis MapReduce modules for predictive analytics in Hadoop on AWS Led the development of a performance assessment pricing analysis platform by deploying k-NN Algorithm Deploying ridge regression model LASSO solver via gradient descent to select the regularization parameters Created multivariate regression based attribution models using ad stock analysis from the digital marketing data There is no use of bucketing and bolding in the points of data scientist resume example 1, which help in increasing the readability of the content. Data Science Resume Example 2: Data Visualization Predictive Analytics Steering rapid model creation in Python using Pandas, NumPy, SciKit-Learn plot.ly for data visualization Creating NLP models for Sentiment Analysis MapReduce modules for predictive analytics in Hadoop on AWS Deploying ridge regression model LASSO solver via gradient descent to select the regularization parameters Statistical Modeling ML Algorithms Applied various machine learning techniques to build dynamic pricing models and maximize profitability Led the development of a performance assessment pricing analysis platform by deploying k-NN Algorithm Created multivariate regression based attribution models using ad stock analysis from the digital marketing data In data scientist resume example 2, we have made buckets of the skills used in doing the work as well as have grouped the points of works in which the same skills are being used. Like we've made the bucket of 'Data Visualization Predictive Analytics' and have written all the points pertaining to these skills under that bucket. Same goes for the bucket of 'Statistical Modeling ML Algorithms'. Look at the data science resume example below to see how a professional experience section should look like. Data Scientist Resume For Freshers As freshers in the field of data science do not have relevant experience, they can't make a professional experience as they won't have anything to write in it. So, now the question is: What will they make or do? The answer is: Internship Section. Yes. Freshers in this field will make an internship section. Internships are when you work in an organization as an intern to gain professional knowledge of your field while still not being a graduate, whereas, a proper job is when you work for an organization after graduating from college. While still in college, students are likely to do a maximum of two internships. These internships help you gain the professional experience and hands-on professional knowledge of the workings of your chosen field. So, that is why the internship section holds a lot of importance in a freshers data scientist resume. Including internships in your machine learning resume will give you the upper hand over the freshers who haven't done any internships during their graduation. Having done internships shows the recruiter how serious you are when it comes to your professional life and that they are hiring a professional who takes his/her career seriously. Use the following format to write your internship section: {Name of the Organization} | {Location} (city, country pin) | {Dates} (in mm/yy-mm/yy format) | {Designation} This section of the internship will also be written using the cause-effect method along with bucketing and bolding as explained in the professional experience section above. Writing Data Scientist Resume Header Now, that the master data science resume stage is over, let's proceed with the first draft machine learning resume. Start off this stage by making the data science resume header. You must be wondering: What is a header and why is it important? Well, a header comes at the top of your data scientist resume and it is made up of your name. Making a header ensure that your machine learning resume is being separated from hundreds of other data science resumes that have come in for the same profile. Also, it gives your data science resume an individual identity of its own and prevents from being misunderstood as someone else's machine learning resume. When writing your data science resume header, make sure that you give a single space between your first name and your last name. Spacing errors like that of double space or no space have a negative impact on recruiters mind. It will portray your carelessness when it comes to small details. If you have a middle name, then write only the first initial of your middle name and then put a full-stop after it. Also, give a single space after the full stop and then write your surname. In addition to this, do not write your nickname in the header. Don't write something like Cara 'Nitro' Delevingne. Just simply write 'Cara J. Delevigne'. When making your data scientist resume header, the ideal size of its text is between 14-16 point size. See the data science resume sample given below to see how an on-point data science resume header should look like. In addition to this, you can instead use Hiration's Online Resume Builder to make your data scientist resume and that header absolutely hassle free. Our Online Resume Builder uses a pre-set, fixed font size to make the resume header. Personal Information Section In Your Data Scientist Resume In this section, three things are written: 1. Personal Mobile Number 2. Personal e-mail ID and 3. Current location Personal Mobile Number Write only one mobile number on which you are available 24x7. Also, there is a proper way in which one needs to write the mobile number. There are certain rules to follow when writing your personal mobile number. You can't just go and scribble down that mobile number of yours. The two rules that you need to follow while writing your mobile number are: Write the International Subscriber Dialing (ISD) code of your country followed by a plus sign (+) before your personal mobile number. Give a single space after the first five digits of your mobile number. Writing only that number on which you are 24x7 available is important as a personal mobile number is the primary source through which a recruiter is likely to contact you. Personal E-mail ID Write only that e-mail ID in your personal information section which you use most often in case you have multiple e-mail IDs. At this stage of data scientist resume making, you can even add hyperlinks to your social media websites like that of LinkedIn, Facebook, Instagram, etc. and personal websites or portfolios if you have any if they provide any support for the professional work that you have done so far. Also, all the websites need to be up-to-date in terms of information and the information should be consistent across the websites. Hiration Pro-Tip: Do not include personal information such as marital status, age, political views, etc. They are not to be mentioned in a data science resume. The e-mail is the second way through which the recruiter might contact you. So, it is important to write only one e-mail ID that you use the most. Current Location This is the third thing to include in the personal information section. Here you will write the current location of your residence. When writing the current location of residence, first write the city name followed by the country pin. Take a brief look at the data scientist resume sample below to get a better understanding of how to write the personal information section. Customizing Data Scientist Resume Profile Title Next in line comes the profile title section. The profile title tells the recruiter the level at which you carry out your job responsibilities and duties. It also gives a broad level idea of your level of proficiency in your field. The title is supposed to be the second largest text in your data scientist resume, written in between the font sizes of 12-14 points. If a machine learning resume is missing a job title, then it is missing a crucial part of the data scientist resume. Hence, it is incomplete. If you send your data science resume without a job title, then it will get difficult for the recruiter to gauge for which profile you've applied for. Writing a profile title makes the job of the recruiter easy and is a deciding factor for the recruiter to read your machine learning resume further or not. Look at the data science resume sample given below to get a better idea about how a data science resume profile title looks like. Data Scientist Resume Education Section The education section is one of the most important sections of the data science resume for a recruiter. It helps the recruiter to decide whether you are eligible for the job or not. Use the following format to write this section: {Name of the school/university} | {Location} | {Dates} (in mm/yy-mm/yy format) {Name of the degree} | {CGPA} The data scientist resume sample provided below will give you a better idea of how to write the education section. Data Scientist Certifications, Conferences And Publications Section The second last section to make in the first draft stage is the certifications, conferences and publications section. In this section, you will write all the certifications, conferences and publications that you ever got, attended or got published. Also, these should be those certifications, conferences, and publications that will add some value to your machine learning resume. Use the format given below to write your certifications. {Name of Certification} | {Affiliating Institution} | {Location} | {Date (in mm/yy)} To write your conferences, use the below-given format. {Your Role in the Conference} {Title or Topic of Discussion} {Conference/Forum Name} {Date (in mm/yy) and Location} Use the format given below for writing your publications. {Authors Last Name} {Authors First Name} {Authors Middle Name or Initial of the Middle Name} {Title of Article/ Chapter} {Name of journal, website, magazine, etc.} {Year of Publication} {Publisher or Issue Number} {Volume number} {Page Numbers} {URL if its an online publication} See the below-given data scientist resume example to see how the certifications, conferences and publications section should be like. Data Scientist Additional Information Section The last section to be made in the first draft stage is the additional information section. In this section, you will write the additional information about the languages that you know. For example: If you are fluent in speaking and writing English and Spanish, then you will mention it in this section. Also, you will make this section of additional information only if you know how to speak and write more than one language. To get a more clear idea on how to write this section, look at the data science resume sample given below. Illustrating Your Data Scientist Resume Skills In the third stage of making machine learning resume, which is the final draft stage, the first section that you will make is the key skills section. Writing the skills section in the final draft stage will give you more skills to write in your data scientist resume than you thought you have. Before writing your skills section, scan the rest of your data science resume once, throughly, to look for skills. These skills will basically come from scanning the professional experience section. After you're done writing the key skills section, bold the whole section. Look at the below-given data science resume example to see how to write a key skills section. Technical Skills Section of Data Scientist Resume If you have skills like that of SciKit-Learn, NumPy or SciPy then do not include them in the key skills section. These are considered to be technical skills, so make a separate section for them named 'Technical Skills Section'. It will be made in the same way that you have made your key skills section. So, just like the key skills section, after you're done making your technical skills section, bold the whole technical skills section and then in addition to it, italicize the whole section as well. Italicizing the whole section will separate it from the rest of the data science resume and will make it more clearly visible. To get a better idea, take a glance at the data scientist resume sample given below. In addition to this, if you use Hiration's Online Resume Builder to make your machine learning resume, then you'll have the options of adding bar graphs and pie charts to make your skills section. Look at the data science resume sample given below to see how you can demonstrate your skills using bar graphs and pie charts in your skills section. Personalizing Data Scientist Resume Summary Section The data scientist resume summary section is written at the very end of the data science resume making process so that you can refer the rest of the machine learning resume and pick out the points that are the highlight of your career and then add those points in the data scientist resume summary section after rephrasing them a little. You need to use the data scientist resume summary section wisely by telling the recruiter what you can do for the organization by explaining how you used your data scientist skills to benefit the previous organization. Look at the data scientist resume sample below to see how to optimize your data scientist resume summary section. Furthermore, You can use Hiration's Resume Reviewing Service to get your data scientist resume professionally reviewed by the industry experts to check your data science resumes complete consistency. Data Scientist Resume PDF If you want to have a data scientist resume PDF then you should definitely make your machine learning resume at Hiration's Online Resume Builder as after making your data science resume at Hiration's Online Resume Builder, you can download unlimited PDFs of your data scientist resume. So, what are you waiting for? Go and make your machine learning resume at Hiration's Online Resume Builder Now! Data Scientist Resume Doc If you want a doc template for your data science resume then opt for Hiration's Resume Reviewing Services, where you'll get two free machine learning resume doc templates, as well as your data science resume, will be reviewed to match the following parameters: Reliability (achievements and skills backed with quantifiable values) Cause vs. Effect relationship Readability (to pass the 6-sec test) Achievement based points over responsibility based points ATS Compliance Compliance with industry norms Global compatibility Performance assessment (How well a candidate has performed to get shortlisted) Conversion Scope Design Compatibility So, opt for Hiration's Resume Reviewing Service Today! Key Takeaways For Your Data Scientist Resume Ensure that your data scientist resume summary does not exceed the limit of 3-4 lines. Write only those points in the data scientist resume summary section which highlights your most distinct skills and achievements across your career. Usually, the data scientist resume summary section is the first section that a recruiter sees. Therefore, it is important that it is crisp and includes only the most important point in it. You can begin the data scientist resume summary by writing the number of experience you hold and then mentioning your filed followed by your proficiencies. For example: '7+ years experienced data scientist with a passion to solve real-world business challenges using data analytics.' Continue in this manner and mention some special hards skills and some achievements that proved your proficiency in the previous organization. Since the space in the data scientist resume summary section is limited, mention only those skills and achievements which really make you stand out from the other applicants. And with this also ensure that the skills and achievements that you write in the data scientist resume summary section are relevant to your target profile. Tailor your professional experience section according to the job description. Make sure to mention the skills written in the job description in your machine learning resume. Also, if you have performed any of the duties written in the job description, then ensure that you write those duties in your professional experience data science resume points. Make the key skills section just after your data scientist resume summary, followed by the technical skills section. Making the key skills section is of paramount importance as these days the resumes are first passed through the Applicant Tracking Systems (ATS) and after passing the ATS test, only do they get on the table of the recruiter. The ATS scans the resume for the keywords that are written in the key skills section. If the key skills section will be missing, then your resume will get rejected at the stage of ATS testing itself. Also, only write hard skills in the machine learning resume which you can substantiate in the interview and avoid writing soft skills. Include your key skills across your data scientist resume and not just in the key skills section. Writing keywords throughout the data science resume increases your chances of passing the ATS test. There are chances that the companies in which you have worked previously are not known to the recruiter. So include a one-line description of your company under the company name in your machine learning resume. In this description, try to sell the company to the recruiter. In this description, you can include some numbers around the number of employees the company had, its revenue, etc. Basically, anything that lets the recruiter know that you've been working for a good company. Do the same for all the companies that you've worked for. Still got more questions around your data scientist resume? Send your questions at team@hiration.com and our data scientist resume experts will get back to you.