Data Science News and Insights

Data engineers ensure raw data is accurately collected, securely and reliably stored, and structured for easy use by data scientists and analysts. And this is no small task. Data engineers are able to speak the language of data science and analytics so they can define project requirements. They must also be adept architects and coders comfortable working with the latest cloud technologies.

Wondering what the heck is going on with hiring these days? Why are there so many data-focused job openings and so few applicants? Why are your best candidates ghosting you? We take a look at some things you’ll want to stop doing if you want to hire great data talent.

Finding that perfect data job needle in the online job board haystack can be a challenge. While big, general purpose boards, such as Dice and Indeed, are great places to start, you can find more unique and specialized opportunities on job boards focused solely on data science careers. So to help you with your job search, we’ve compiled a list of the best data science job boards out there.

Job hunting this fall? It’s a great time to polish up your resume with these data science resume tips. At Dataspace, our recruiters review hundreds of data science and engineering resumes every month...

Our last month's edition of the Dataspace newsletter looked at the growing applications of AI for cybersecurity, and explored how some of the major players in tech are incorporating AI based security tools into the suite of products they offer…

This month's Dataspace newsletter looks at the applications of AI for cybersecurity, and some potential limitations.

Beyond the tech specs of how these algorithms actually work, the growing capabilities of predictive text beg a multitude of questions regarding the potential implications for humans.

Will political polls ever work again? Are we doomed to this happening forever in the future? The situation points to a need to rethink the concept of polling vs the concept of forecasting.

Not only are they one of the most visually appealing food groups, but donuts are also more closely related to data than you might think!

What do we know about the future of staffing? In short, not much. However there are hints that contract staffing could continue to grow as a critical strategic choice for many companies.

Predictive analytics is about making educated guesses regarding the future based on things you know about the past. But, what if the future doesn't look anything like the past?

Much like an actual cloud that can look like whatever you imagine it to be, this virtual cloud is amorphous in its own right, and ever changing. Fortunately for those who want to leverage cloud computing to improve their data sharing, storage, and analytics capabilities it is less important to understand what "The Cloud" looks like than what it does. In this issue of our newsletter, we dive into some of the silver linings of cloud computing and its applications.

GREETINGS FROM DATASPACE! As we discussed in what may be our most viewed Dataspace blog post (ever!), insurance is one of the oldest data science based businesses - using math to make predictions about the future. In today's post, we’ll…

Greetings from Dataspace! The last edition of our newsletter focused on some very creative applications of data science tools and methods. Most of these were lighthearted, merely reflecting the interest of the creators in their subject matter…

Greetings from Dataspace! Here's hoping that this week's newsletter finds you well, and that those of you who observe enjoyed Happy Passover and Easter celebrations, even if the family was only able to come together virtually. Much like…

Being that data science is a relatively new field, we often get questions regarding compensation for various data science-related skillsets across different locations and industries. The healthcare and medical industry, specifically, has been…

Dataspace CEO, Ben Taub, was featured in a Dice post offering some clever suggestions for hiring data scientists and ensuring your data talent is excellent. We encourage you to take a peek and absorb some of the wisdom within! https://i…

Tools and techniques for management reporting and analysis have evolved since computers first came out. One can argue that the first management reporting tool was COBOL (COmmon Business Oriented Language). It allowed business people to get data…

If you have experience in the tech staffing business, you may have noticed a recent rise in the amount of fraud and dishonesty in the marketplace. This is perhaps inevitable given the high level of demand for data engineering and data science…

In the distant past (circa 2015), IT was responsible for providing data consumers with data, tools, and development expertise. Today, the landscape is shifting, especially in larger organizations. Nowadays, IT provides some of the data - the…

In data science and predictive analytics we determine the likelihood of something by looking at data about it. We do this simply by looking for similarities between that data and data from past cases where we actually know the outcome.

Any serious conversation about the future of data and analytics invariably turns to the topic of artificial intelligence.  The past year has seen AI surge in popularity, with high profile corporations and personalities getting behind what many…

Cyberattacks have become increasingly damaging and visible in recent years, in part because of numerous, high-profile instances of hacking affecting everything from your personal files to global election outcomes.   And, in fact, hacking…

If you have huge volumes of data, chances are that you can get value out of analyzing that data. But, would you derive significant value from analyzing it in real time? This is an important question because, while there are benefits to real…

People in the tech world love to speculate on the future structure of the corporate IT department. While we cannot know precisely how this change will manifest, there are undeniable trends towards a more engaged and decentralized IT presence in organizations. This may very likely end in the elimination of the IT department as we know it.

It is important to remain aware of the fact that making data work for you is as much about people as it is about technology. Dataspace has learned a lot about end-user engagement with predictive software and business intelligence infrastructures over the past two decades. After all, it is not the products but the user of these products, the guy or gal who makes the day-to-day decisions, which ultimately determines whether or not your organization uses data effectively.

The Lamest BI Requirement – And it Won’t Go Away! Want a sure path to failure in BI and data warehousing? Don’t solicit requirements from your users. Want a second path? Settle for the requirement, “Just give me everything (JGME)…

Is your terminology causing your BI / DW team to head in the wrong direction? As a business intelligence and data warehousing consultant I constantly work with IT teams that, even internally, can’t agree on whether they have a data warehouse,…