Data scientist called America’s hottest job
Data scientist is currently considered as the hottest job
in the USA and healthcare organizations, among many other sectors, are
clamoring to hire them at cushy salaries.
Murray
Webb had been a dull student who was more interested in sports rather than
schoolwork while attending a small college in Virginia. He then transferred to
Kennesaw State University in suburban Atlanta in order to pursue master’s
degree in applied statistics & landed 4 job offers upon graduation. Webb,
33, currently earns $160,000 per year targeting healthcare customers for
hospitals. He says he is approached weekly by recruiters seeking data
scientists.
Webb is
part of a national employment trend that has data scientists at tech companies
like Airbnb Inc. & Uber Technologies Inc. adding the words “I’m hiring”
next to their LinkedIn.com profiles.
“The word
on the street is there’s definitely a shortage of people who can do data
science,” said Daniel Gutierrez, managing editor of the journal inside BIG DATA in Los Angeles. “A lot of
people are transitioning from other fields like economics, psychology,
mathematics, because they see the field is exploding and there’s money to be
made.”
Indeed,
it turns out that even in the wake of Facebook’s privacy scandal as well as
other big-data blunders, finding professionals who can turn social-media clicks
as well as user-posted photos into monetize able binary code is one of the
biggest challenges facing U.S. industry. People with data science bona fides
are one of the most wanted professionals in business, with many data scientists
who have Ph.D. getting around $300,000 or more from consulting firms.
‘Run on the Bank’
“I like
to say we’re seeing the employment equivalent of a run on the bank, and it’s
because everyone’s chasing the same talent at the same time,” said Jennifer
Priestley, a professor of statistics & data science at Kennesaw State
University.
Job
postings for data scientists increased around 75% from January 2015 to January
2018 at worlds #1 job site- Indeed.com. Job searches for data scientist posts
also increased around 65%.
Data
scientists can also be involved in a growing specialty “sentiment analysis,” or
finding a way to quantify how many tweets are praising your company or
complaining about it.
According
to staffing agency Robert Half Technology, a typical data scientist job pays
around $119,000 at the midpoint of salaries as well as increases to $168,000 at
the 95th percentile.
‘Compete Differently’
Andrew
Gardner, who is a senior machine learning manager in Atlanta at IT security
firm Symantec Corp., is frequently contacted by recruiters trying to hire him
away even as he is trying to fill roles at Symantec. To compete for talent, he
finds that he should offer more perks such as the ability to telecommute: “You
have to compete a little differently.”
“It’s the
sexiest job in the 21st century,” said a grinning GAO, 25, referencing the
title of a 2012 Harvard Business Review article. “For everyone who has a
background in computers, statistics and mathematics, it’s the hottest job.”
Today
many firms are begging colleges to allow them help with class projects,
expecting to get a foot in the door with future data scientists. Equifax Inc.
was one of eleven firms doing data science & prescriptive analytics
projects with Cornell University this year, with the firm offering up
voluminous data sets scrubbed of personally identifiable information. The main
goal was to determine how customers prioritized paying bills, such as whether
someone is more prone to paying a car, mortgage, or mobile phone bill first,
said Chris Yasko, head of a data science research unit at Equifax.
The
unstated goal was connecting with future graduates.
“Honey,
we have a backlog of companies that want to bring their data into our
classroom,” said Priestley “I probably have a conversation with a company every
week that wants to do that.”
‘Wild West’
Equifax
is also shortening the hiring process in order to keep anyone from slipping
away. According to Peter Maynard, senior vice president of global analytics, a
candidate interviewed on a Friday had an offer in hand by the next Monday.
According to the company, it didn’t see a drop-off in candidate interest in
spite of suffering a data breach that exposed around 146 million people’s
personal data.
Data
science experts describe a Wild West atmosphere currently, with little
agreement over how to define the field & scores of people rushing to add
“scientist” to their resumes whether or not it is accurate. A common definition
calls data science a meshing of math, statistics as well as computer science,
with practitioners using the Python & R programming languages for creating
algorithms for things like “recommendation engines” – those programs that anticipate
what you may buy next based on recent searches.
“It used
to be that if you were a mathematician you became a teacher, and then you
became a geologist because your knowledge helped find oil, and then you went
over to Wall Street,” said Jim Sterne, chairman of the Digital Analytics
Association. “And now, the quote is, the best minds of our generation are being
put to work in advertising.”

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