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How to find — and hire — data scientists

See on Scoop.it - Data Nerd’s Corner

Data might just be the new driver of business success. Airbnb uses data to match lodging and travelers. Netflix uses data to personalize your entertainment. Amazon uses data to sell you more stuff….

Carla Gentry CSPO's insight:

But data doesn’t reveal its secrets easily — or cheaply. Hence the exploding role of data scientist, which has grown from practically nothing to a major hiring focus, with stunning growth over the last three years at job site Indeed.com of thousands of percent. And the cost of hiring a data scientist, which is up to $150,000/year.


See on venturebeat.com

Julia King: We’re all data scientists now

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It’s up to each one of us to figure out what in the daily surge of data is useful, what’s crap and what’s truly valuable.

Carla Gentry CSPO's insight:

I DO NOT agree but read and form your own opinion :) ”I think data science is going to be as foundational to education as English,” Priestly says. “The reason is everybody is dealing with data. Everybody has to understand the basics of how to analyze data. Data science doesn’t belong in the business school. Everybody should take data science.”


See on computerworld.com.au

4 Tips For Data-Driven Glory: Insights From Interact 2014

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Marketers today swim in a sea of data. From tracking purchase behavior to website visits, they’re constantly gathering information about th

Carla Gentry CSPO's insight:

While 91% of marketers use data to drive decisions, 40% say that they can’t turn data into actionable programs, Rutkin noted. To get started with personalized content à la Verizon newsletters, “Inventory your available data and line that up with your goals,” Rutkin said, adding that her team’s work is an iterative process. “It’s like Disneyland. There’s always some maintaining going on in our newsletter program. You’re always putting customers first, but as their needs change, your strategies change too.”


See on blog.eloqua.com

Little things that mean a lot

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JUDGING from the condemnation, Facebook just “friended” Satan. The company has been pilloried for academic research it published, showing that by adjusting its…

Carla Gentry CSPO's insight:

“It is about building a mountain with pebbles,” says Jim Manzi, the boss of Applied Predictive Technologies, which sells data-crunching software. Internet firms like Google and Amazon have built their entire businesses on the back of repeated incremental gains. For example, Google’s search algorithm is designed to learn from users: if slightly more people click on the ninth link of a given set of search results than one higher up, then the algorithm learns from this, and moves the lower item upwards. Amazon’s boss, Jeff Bezos, insists that all decisions in his company are based on statistical analyses. Every pixel on the company’s home page has had to justify its existence through repeated testing of alternative layouts, to identify the combination that maximises sales. Each individual change may make the product only a tiny bit better. But the cumulative effect over time can be big.


See on economist.com

New Data Show Faster Job Growth in States With Higher Minimum Wage

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Findings could undermine the argument that raising the minimum wage hurts job growth

Carla Gentry CSPO's insight:

Some economists said that data was inconclusive and that it’s too early to say whether minimum wage hikes hurt job growth. The rate of job growth was the highest in North Dakota, where the local oil and gas boom has spurred the economy but there has been no minimum wage increase. “It’s too early to tell,” said Stan Veuger, a scholar at the American Enterprise Institute. “These states are very different along all kinds of dimensions.”


See on time.com

Leveraging Data Science for Demand Generation

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Over the next few weeks, I will be authoring a series of blogs on data science and demand generation. In this first blog, I will make the case why we need to leverage data science for lead identifica…

Carla Gentry CSPO's insight:

The vast quantity of social data has been a gold mine for Data Scientists for the past several years. While there have been several research papers written and tools developed, use of this data for lead identification and qualification is still in infancy. It requires deeper level of understanding of not only the text of the conversation but also the context of the conversation.


See on business2community.com

VoterLabs Launches Political Text-2-Donate Platform With Real-Time Data

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New Haven, CT (PRWEB) July 15, 2014 VoterLabs, LLC, a New Haven, CT startup, today announced the launch of its political Text-2-Donate and Mobile Outreach platform. VoterLabs’ Text-2-Donate & Mobile…

Carla Gentry CSPO's insight:

VoterLabs LLC was founded in 2012 to bring advanced user-friendly data technology to political campaigns and organizations who lack multi-million dollar data science and targeting budgets or expertise.

 

See on consumerelectronicsnet.com

Data Scientist Core Skills

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Knowing the difference between a fact table that is put together well and one that is faulty with semi-structured unconstrained keys makes all the difference in how easily you can trust and massage the data you’re trying to capture. Knowing the validity and proper use of each of the dimensions is also key to leveraging any star-schemed data structure. Unstructured data is another story where you may have to figure or organize yourself a staging layer before the data itself is even useful. If you can’t get through these things you can’t begin making propositional sense of data to analyze.Data Science - The Process of Capturing, Analyzing and Presenting Business Intelligence with Skill
Capture
Programming and Database skills 



The familiarity…


Carla Gentry CSPO's insight:

Knowing the difference between a fact table that is put together well and one that is faulty with semi-structured unconstrained keys makes all the difference in how easily you can trust and massage the data you’re trying to capture. Knowing the validity and proper use of each of the dimensions is also key to leveraging any star-schemed data structure. Unstructured data is another story where you may have to figure or organize yourself a staging layer before the data itself is even useful. If you can’t get through these things you can’t begin making propositional sense of data to analyze.


See on datasciencecentral.com

What Smart Companies Are Doing With Heaps of Data (Infographic)

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Companies create 2.16 exabytes of new data every day. (That’s a lot.) Here’s what happens to it.

Carla Gentry CSPO's insight:

DANIEL ZENDER, NEW JERSEY INSTITUTE OF TECHNOLOGY


See on inc.com

Twitter Tanks More Than 7% | TechCrunch

See on Scoop.it - Data Nerd’s Corner

Following more executive changes, Twitter’s shares are down sharply today, sliding nearly 8 percent in morning trading. The company, which saw its share price..

Carla Gentry CSPO's insight:

Twitter is not the only technology company to retreat today, with Tesla and Netflix also taking firm whacks. Technology as an industry is down more than the larger market, which is having an off day.


See on techcrunch.com