So you know what you need in a good data scientist, but do you know how to evaluate these fundamental skills? What resources are available to support your decision-making process?
With the ever-changing landscape of data, analytics and digital transformation efforts, knowing how to identify good candidates is critical.
For experienced hiring managers selecting candidates can feel routine. But challenges persist in ensuring that incoming talent is the right fit for your team or organization. Do they truly have the right skill set? How likely are they to grow into the role — or even future leadership positions?
These are especially large complexities for technical or analytics roles.
Here are some ways to ensure you get the right fit on your team.
It’s an obvious place to start, but an often overlooked step. To ensure you’re getting the right candidates, it’s important for them to know what role they’re applying for. Some things to consider:
2. Pre-screening and evaluations:
The hiring process can be time-consuming and at times, exhausting. Having candidates take your time when they don’t have the correct hard or soft-skills you need can add to the frustration.
There are tools available that can help you identify a more appropriate slate of candidates for your data or analytics needs.
The effectiveness of interviews has come into question in recent years. Many times, unconscious bias or day-to-day interruptions can play a role in how your or your team perceive a candidate. For example, coming out of a tense meeting can influence your perception of a candidate.
For this reason, most of the work for selection should be done before the interview process, and this element of the decision should be mostly about the candidates fit and soft skills. There are a few things to consider when interviewing for data-focused roles.
Evaluating and selecting new candidates for your analytics or data science team can be challenging and time-consuming. And there can be a lot at stake.
But, there are key things you can do to narrow the candidate pool and focus your time and efforts on finding new candidates that are the best fit for your needs.
At Chisel Analytics, we specialize in helping you build a pipeline of analytics and data-focused talent, so you can more easily narrow your candidate pool and move forward with the right individuals for temporary or longer-term needs. Our assessment process provides you a resource that can help you objectively evaluate the skills of your candidate pool.
Chisel Analytics is now available! Sign up today to find your next data-driven challenge and start breaking down the barriers to analytics. https://t.co/DqzrcnhdoN #Analytics #productlaunch pic.twitter.com/R1zWVpAOJ1— Chisel Analytics (@chiselanalytics) April 16, 2019
The need to leverage data has created a new arms race for data science and AI professionals. Chisel Analytics can help organizations find the professionals they need to quickly scale their capabilities. #DataScience #AI https://t.co/rkrLit9Lju pic.twitter.com/kLrIhcPkEp— Chisel Analytics (@chiselanalytics) April 23, 2019
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