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Building a Winning Data Science Team

In this contributed article, Brad Cordova, co-founder and CTO of TrueMotion, discusses the importance of building a winning data science team, including actionable tips drawn from his own experience on structure, investment and building a culture where data science thrives.

Where Do World Leading Companies Get Their AI Expertise From?

In this contributed article, Anna Klimenko, a technical writer at Greenice, discusses a topic on the mind of many companies – how to find AI technology talent. With the deficiency of AI specialists, there are several ways to build AI expertise in a big company. The most prominent university students, graduates and professors become targets for headhunters. Hiring rare specialists, educating own employees, acquiring AI startups and creating ML-as-a-service systems are the main methods that allow companies to get artificial intelligence expertise.

Data Science Job Postings Are Growing Quickly

As more businesses look to data driven technologies like automation and AI, the need for talented workers who can interpret the data is only expected to rise. In fact, IBM predicts that the demand for data scientists will soar 28% by 2020. To dive into this trend further, our friends at Indeed, the well-known job site, took a deeper look at the industry growth.

New Stack Overflow Study of Developer Attitudes, Salaries and Demographics

Stack Overflow, the online community for developers to learn, share their knowledge and build their careers, today released the Stack Overflow Annual Developer Survey results . With more than 100,000 responses from coders in 184 countries and dependent territories, it is the most extensive survey of the programmer workforce to date.

7 Key Members of Every Big Data Team

In this contributed article, freelance technology journalist Josh McAllister provides an overview of the seven main staff members you’ll need to put together for a successful and highly efficient Big Data team. When putting together a Big Data team, it’s important that you create an operational structure allowing all members to take advantage of each other’s work. Your company will also need to have the technological infrastructure needed to support its Big Data. This can be done by investing in the right technologies for your business type, size and industry.

How to Become a Big Data Analyst

Because of the inherent importance of data analysis in many industries, the job of big data analyst is one that should come with great appreciation and consideration of those looking to get into a similar field. In the infographic below from our friends over at MeriTalk, we’ll break down big data analysis as a career and show you why it’s already one of the big jobs to look out for now and in the coming years.

Top Skills Data Scientists Need To Learn in 2018

Data scientists are in high demand, taking the number 1 spot in Glassdoor’s Best Jobs in America list in 2016 and 2017, with 4,84 position available and boasting a median base salary of $110,000. According to Jim Webber, Chief Scientist at Neo4j, the following is a short-list of the most essential tech skills for data scientists to adopt this year.

5 Skills You Need to Become a Data Analyst

In this contributed article, freelance technology journalist Josh McAllister outline what it takes to become a data analyst, a high demand position among today’s companies, with a corresponding shortage of qualified analysts.

The Benefits of Having a Data Scientist Career

Our friends over at Simplilearn provided us the infographic below which explores the advantages of the a data science career and shows you the various roles available in this career path, along with projected salaries from around the globe.

Top 12 Interesting Careers to Explore in Big Data

Our friends over at Simplilearn provided us the infographic below which explores the top 12 interesting careers in big data. Big data is no longer a buzzword for our future capabilities, but is already being used by businesses in a range of industries. From data driven strategies to decision making, the true worth of big data has been realized, and has led to opening up of amazing career choices. Power to the data!