Our friends over at Springboard just released a compelling new infographic that highlights the different roles within data science along with the different skill sets required for them.
Correlation One, a matchmaker for data scientists and employers, announced today its official launch as well as its inaugural NYC Datathon. The company creates standards for evaluating the skills of data scientists via its proprietary portfolio of tests, and presents a “report card” of candidates for employers to help identify the right candidates more efficiently.
Our friends over at DataCamp took a look at this avalanche of data science job postings in an attempt to unravel these cool-sounding and playful job titles into a comparison of different data science related careers. The infographic below, “The Data Science Industry: Who Does What”, summarizes the results.
An important new research study was recently released that well-serves the needs of the data science professional community – the Burtch Works Study: Data Science Professionals Report. The free report includes a complete overview of the data science profession.
Tweet Share Share +1 EmailShares 0Innovative Development is seeking a Big Data Senior Architect in our Job of the Week. We have partnered with a major Financial Institution to provide them with a Big Data Solutions Architect in Wilmington, Delaware. The Big Data Solutions Architect will manage the full life-cycle of a Hadoop solution. This includes creating the requirements […]
Experfy, based at the Harvard Innovation Lab, announced that it has launched a paradigm-changing, online marketplace that will allow industry leaders to solve their Big Data talent needs. Enterprises now have a central platform for on-demand hiring of vetted experts with algorithmic skills and domain knowledge, primarily for short-term projects related to data, analytics and business intelligence.
Everyone’s talking about hiring data scientists but most pundits continue to focus on skills rather than the mindset required for this challenging role. Talent Analytics CEO Greta Roberts spoke about this topic to a group of data scientists attending the Boston area Big Data Analytics Meetup group on February 4th, 2014.
Here is a quaint story of a data scientist who had a short telephone interview for a position at online dating site HowAboutWe.com and proceeds to flip out when he is rejected.
“I was doing “data science” long before that name was used — data mining, knowledge discovery in databases, business intelligence, and OLAP are all somewhat deprecated terms,” say Gutierrez. “I’ve always been data-centric in my professional life, which began after my degree program in mathematics/computer science at UCLA. So now with the fancy new monikers like “data science,” “machine learning,” and “big data,” I’m pleased that what I’ve been doing for so long has developed such wide exposure and interest.”
Gartner has been warning of a massive shortfall in the number of people with the skills needed to capitalize on the possibilities offered by Big Data.