In the past five years alone, 98% of data scientists have changed jobs at least once. This high turnover rate is compounded by a shortage of AI talent—if data scientists want to go elsewhere, they can leave their current roles safe in the knowledge that they’re in high demand.
We’re addressing these critical questions:
● What’s causing data scientists to resign all at once? ● What can execs do to better support their data science teams? ● How can data scientists improve their communication with leadership?
Let’s increase trust between executives & data scientists.
If you’re an enterprise leader, you might:
Not feel like it’s your job to understand the ins and outs of data science
Be too busy to dedicate time to communicating with your data scientists
Feel like you have financial priorities outside of data science or that you’ve already invested sufficiently
Be frustrated with the high turnover rate of data scientists at your organization
Not even realize there’s a major shortage of AI talent
If you’re a data scientist, you might:
Feel as if no one outside of your team understands the work you do
Be spending most (or all) of your time doing tedious data prep grunt work
Not be satisfied with your compensation and/or career path
Feel like you’re lacking the tools you need to be successful
Have experienced a job that didn’t live up to your expectations OR even quit
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Does any of this sound like you?
If so, we’re here to help. Whether you’re a disgruntled data scientist thinking about quitting your job (or already have!) or an exasperated exec grappling with high turnover rates—there’s no denying that we’re in the midst of a data science talent crisis. We’ve created a library of resources to help you put a stop to it.
How to Get Your Data Scientists to Quit
Want to know what’s causing the mass turnover in data science? This blog, from our Founder and CTO’s perspective (who has quit his data science jobs in the past!), will walk you through it. We break down the top six reasons data scientists quit their jobs, including:
A lack of growth opportunities at their current organization
Checklist to Solve the DS Talent Crisis Within Your Org
The only way to solve the current disconnect between data scientists and leadership is tocommunicate.Need a little guidance? This checklist shows data scientists how to approach a productive conversation with leaders to build trust in models, explain their impact & improve the work environment.
What’s the legacy that data scientists will leave behind? Watch this on-demand webinar with RapidMiner’s Founder & CTO, Ingo Mierswa, as he discusses what data scientists can do today to change how they’ll be remembered in the future.
Why is turnover amongst data scientists at an all-time high? We asked our data scientists what they thought about the Data Science Talent Crisis. Hear their thoughts on what companies can do to retain their talent.
The Great Data Scientist Exodus, a deep dissatisfaction running through the data science community, is here. Learn why your data scientists are quitting & how you can keep this talent.
How the New RapidMiner Helps Data Scientists Be Even More Impactful
Learn how data scientists can benefit from the new RapidMiner platform—enabling collaboration with non-data scientists & creating data-driven change across your organization.
