Another CPG leader, General Mills, is
recruiting a big-data manager for its Minneapolis office who will
essentially build the company's data system, according to a job
posting on LinkedIn. The ad states that the hire will be tasked
with leading the Global Consumer Insights team "in articulating a
POV, Designing and Delivering a "1st generation' working prototype
for "Big Data'!"
Sony Computer
Entertainment America, maker of PlayStation, is seeking a data
scientist, and so is agencyEA'
class='directory_entry' title='Ad Age LookBook '>EA, publisher
of video games including Madden NFL and The Sims. The latter is
looking for a principal data scientist to work in its Digital
Platform Data Group to help develop "a new unified Big Data
pipeline across all franchises at Electronic Arts," according to
its job description.
These makers of household brands are at varying stages of
building in-house data analysis operations, but just about every
type of company trying to harness unwieldy data sets is battling to
recruit from a dearth of candidates to fill these positions.
Recruiting data scientists has always been a challenge, said
Srinidhi Melkote, director of analytics and revenue management for
Wyndham Exchange and Rentals, a division of hospitality company
Wyndham Worldwide that offers time-share exchanges and vacation
rentals. It's becoming more difficult, in part, because along with
Wyndham, "companies like Google and Facebook are basically
competing for the same kind of people," he said.
Even finding people with the desired backgrounds doesn't
necessitate an automatic understanding of the business they're
hired to assist. "What we've seen is even when we hire tenured
people, there is a bit of learning curve," said Mr. Melkote.
Because of its focus on pricing and transaction data, the
hospitality industry is steps ahead of others when it comes to
hiring data people, according to Mr. Melkote. While some companies
are only starting to build data teams, the Wyndham Exchange
division was established nine years ago and its data analytics team
is already 34 people strong.
"What we need are people who have that core technical skill set
... but on top of that , you need that creative ability to have a
conversation with the data ... and actually be able to communicate
the results," said Mr. Melkote.