Learn about Springboard

MENS NIKE MAGIC AIR FLIGHT ONE PENNY MAGIC NIKE SZ 11.5 538133-100 2012 85cdb8

MENS NIKE MAGIC AIR FLIGHT ONE PENNY MAGIC NIKE SZ 11.5 538133-100 2012 85cdb8

Item specifics

Condition:
: An item that has been or previously. See the seller’s listing for full details and ... Read moreabout the condition
Model:

Air Flight One

US Shoe Size (Men's): 11.5 Style: Basketball Shoes
Brand:

Nike

UPC:

Does not apply

Nike Air Max 93 OG Dusty Cactus 2018 Retro White Black 306551-107,2011 Nike Air Jordan PLAY IN THESE F Black Basketball Shoes Size 12 440896-003,NIKE AIR MAX SEQUENT PRM [839731 001] NO OREO VAPOR TUNED FORCE SZ 12,Nike Arrowz Trainers Mens Grey/White Sports Shoes SneakersNike Sb Dunk High Taun Taun Star Wars,Nike Lunar Hyperquickness Baketball Shoes Shoes Shoe Basketball BlackNIKE AIR FORCE 1 ONE '07 PREMIUM PRM 905345-201 VACHETTA TAN DS SIZE: 13,Nike Air Force 1 One All White 315122-111 Original Shoes Men 100% OriginalVTG OG Nike Shark Leather White Low Shoes Cleats Display Box NOS New Mens Sz 7.5,Air Force One 820266 018 Wolf Grey/White,Nike AF1 DIGI CAMO PACK (White Sz 10; Black Sz 10.5) Supreme Jordan Nike Foamsadidas ULTRABOOST X MID PRIMEKNIT BOOST Stella McCartney BY1834 nmd women’s 6.5,Nike Lebron James size 14 mens shoe,Nike Air Force 1 Blazer Pack '12 Sneaker Multi Pine Green Men 9.5 Suede Hipster,NIKE KOBE AD A.D. GLACIER GREY "MAMBA MENTALITY DETACHED" SZ 10 [922482-002],Nike Air Force 1 07 - Black - Mens,2005 AIR JORDAN X RETRO WHITE/ STEEL SIZE 11.5,MENS NIKE AIR TR V CRUZ "VICTOR CRUZ" in color BLACK / BLACK / WHITE SIZE 9,2016 Nike Air Max Uptempo 2 Black White Size 10.5 919831-001 Jordan Pippen,Adidas Vlneo 3 Stripes LO W F39228 violet sneakers,DS Nike Air Tech Challenge 2 II Laser sz8.5 Black/White Agassi open 832647 001,NIKE LUNARESTOA 2 ESSENTIAL WHITE BLACK 811372 005 SZ US M 6.5,Nike Air Huarache Run Utility Free 5.0 Roshe Two Max Thea Laufschuhe Sneaker,Nike Lebron James XIII Mulberry Black Platinum Vivid Purple 807219 500 Sz 12 M,Nike Air Jordan 2 II Retro Dark Concord White Black Blue Grey 385475-153 US8,Nike Zoom Kobe 1 Black Varsity Maize Yellow White sz 12 Nike Kobe 1 ProtoNike Free Flyknit NSW Men's Running Shoe 599459 609 Size 9.5,Nike SB Eric Koston 2 Premium BLACK LEATHER TERRA COTTA 599658 008 SIZE 8,NIKE HYPERLIVE PE NEW SIZE 11.5 ANDRE IGUODALA BLACK GOLD ROYAL 864129 074Nike Air Max Excellerate 5 Loyal Blue Metallic Silver Sz 10 852692-400,
lebron 9 south beach Sz5.5,

January 12, 2018

MENS NIKE MAGIC AIR FLIGHT ONE PENNY MAGIC NIKE SZ 11.5 538133-100 2012 85cdb8

Kayleigh Karutis

NIKE Men's Kobe AD Basketball Shoes 922482 005 Size 13 Retail 0 New,

shares

This post originally appeared on the SwitchUp.org blog.

LinkedIn’s 2017 U.S. Emerging Jobs Report—fittingly created with the power of data science—lists data science roles as one of the top emerging positions in the U.S. today, with 6.5X growth over the last five years.

IBM takes a slightly more conservative view, predicting demand for data scientists to grow by about 30 percent by 2020, but even still, those are compelling figures. As demand grows, talent supply for these roles continues to lag behind; LinkedIn alone lists more than 6,000 open data science positions, and that’s only in the U.S. Companies across the world are recognizing the need for talented data scientists on payroll, in virtually every industry known to humankind.

As we round the corner on 2018, let’s take a look at some of the trends and predictions expected to shape and drive this high-demand field over the next year.

1. The skills and responsibilities required of a qualified data scientist will become more clearly defined.

As the field has grown, a certain amount of fuzziness has occurred around the actual meaning and definition of “data scientist.” It could be argued that at this point, “data science” is a full-on buzzword.

In 2018, hiring managers and recruiters will begin to drill deeper into the specific skill sets and knowledge these professionals must have—the ability to build and test hypotheses, statistical and visualization understanding, machine learning knowledge, and model-building skills, to name some.

2. Specializing in machine learning will be an even more worthwhile path to pursue.

Data scientist was No. 2 on LinkedIn’s list of top emerging roles. Number 1? Machine learning engineers. There are nearly 10 times more machine learning engineers in jobs today as compared to five years ago, and the site lists nearly 2,000 open positions.

Ideal candidates in this field will combine their knowledge of software engineering with data science. Successful software engineers who expand their skillsets into data science through programs like Springboard’s Data Science Career Track will be uniquely positioned to snag these high-demand, high-paying jobs.

3. Data scientists with design chops will have an even bigger role to play.

Companies now recognize the critical importance of using data to drive decision making, at every level of an organization.

As the need to understand and socialize data across organizations grows, data scientists with an understanding of how to design data in a visually pleasing and easy-to-understand way will be uniquely positioned to spread data’s (and their) impact across their organization.

4. Having an understanding of agile methodologies within data science will be even more important.

The agile approach swept the design world years ago, and it’s sweeping the data science world now. Taking a fast-moving approach to this discipline—by using small, cross-functional teams focused on specific, targeted goals—can help companies move more nimbly, and solve their problems with increased efficiency.

5. Specializing in a particular field will become more important.

Because demand is so darn high, even the most general data science practitioner will likely find success. Those who do best, though, and land in the most fulfilling and impactful roles, will be the scientists who specialize in specific areas within data science itself.

That can mean diving deep into a particular methodology or technology tool stack, or focusing intently on one niche industry, but either way, those practitioners who hone in will find themselves in even higher demand, and with the freedom to pick and choose their future role.

6. Everyone will be paying attention—and will have an opinion.

“Data science” is no longer a jargon-y term that gets thrown around the water cooler at startups and tech companies. When companies like Netflix use their trove of data to call out a hyper specific subset of users, causing an uproar across the internet and calls for rules around data mining, you know data science has made its way to the mainstream.

Beyond the playful, data science also has a massive role to play in emerging technologies like AI, AR, and in the security realm, which naturally makes it fair—albeit controversial—game for dinner party fodder. With so many open roles, and nonstop news stories about data’s importance, the spotlight is on—for better or worse!

No matter how you slice it, data science has a massive role to play in 2018, and so do pros in the field. If you’re interested in launching your data science career to get in on the data rush, there’s never been a better time!

cta-learnmore

NIKE AIR ZOOM ULTRA SIZE 13 MEN'S TENNIS SHOES (845007 114) BOOST VAPORMAX KD,

Kayleigh Karutis

Kayleigh is a dog lover and Denver resident. She oversees content and product marketing @MasonAPI and has formerly worked @Springboard and @InvisionApp on content strategy.

You might also be interested in...

Completing your first project is a major milestone on the road to becoming a data scientist and helps to both reinforce your skills and provide something you can discuss during the interview process. It’s also an intimidating process. The first step is to find an appropriate, interesting data set. You should decide how large and […]

Machine learning interview questions are an integral part of the data science interview and the path to becoming a data scientist, machine learning engineer or data engineer. Springboard created a free guide to data science interviews so we know exactly how they can trip candidates up! In order to help resolve that, here is a curated and […]

Data Science Career Paths: Introduction We’ve just come out with the first bootcamp with a data science job guarantee to help you break into a data science career. As part of that exercise, we dove deep into the different roles within data science.  Around the world, organizations are creating more data every day, yet most are struggling […]