There have been more instances than I can count where I attempt to contact an applicant/prospective candidate either via LinkedIN or our Applicant Tracking System and the conversation goes something like this: KM: Thank you for your application! Can you tell me more about what cloud environments you have worked with recently?Candidate: Please send your […]
Communications Hijacking! Read More »
OK, so here’s one reason why it’s important to interview candidates via video rather than just voice. There are other reasons, but this one is fun! It centers around one of our Python interview questions. It Starts with a Python Interview Last week we interviewed a candidate for a data engineering position. In this case,
In short, not much. However, there are hints that contract staffing, including data staffing. could continue to grow as a critical strategic choice for many companies. After 6+ months of pandemic related chaos, there has been a substantial amount of reflection on how various industries have been affected thus far, as well as prognoses for
What Do We Know About the Future of Data Staffing? Read More »
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 a major employer of data scientists, and that demand is only growing. But similar to all other industries, healthcare data scientist salaries
Heathcare Data Scientist Salary – How Much Should I Pay? Read More »
A note to technical recruiters: There’s a difference between a data scientist and a Python programmer who knows some data science frameworks We’ve recently heard from a number of technical recruiters who’ve been burned. They were tasked with finding technical talent who could cover the standard data science bases: Python (or R), Pandas, scikit-learn, and
A Big Mistake Technical Recruiters Make Read More »
We begin many blog posts by highlighting the acute shortage of data scientists and the resultant difficulty in attracting them to your company. Chances are that if you are reading this, you are well aware of that fact and may have already found ways to make your organization more appealing to the data science candidates
Change this one thing about your company to help you hire better data scientists Read More »
As many a frustrated recruiter or hiring manager can tell you: a good data scientist is hard to find, and even harder to hire. Quality candidates frequently end up with multiple final round interviews (often within days of each other) leading to multiple offers. In such a competitive environment, your challenge is to figure out
Making your company more appealing to data scientists Read More »
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 skills. So, how can you separate those candidates who can walk the walk
Resume fraud: Warning signs and how to protect yourself Read More »
The process of screening candidates for any role can be both daunting and time consuming, and even more so when the role in question is a highly technical position such as a Data Scientist. The ever growing list of tools and technologies that these professionals work with can read like a foreign language to recruiters
What to look for in a data science resume Read More »
Many companies focus on hiring permanent employees for their data science roles when, in some cases, data science contractors might provide a convenient, more readily available solution while also offering other advantages. If you’re like many of the analytics leaders and HR professionals we talk to, you know how hard it is to build a
Need a data scientist? Why you should consider data science contractors. Read More »
