Careers: Organizations Expand Predictive Analytics, Data Science Teams

If you are in the market for a new data scientist job right now, your plan to move may be well-timed. Executive recruitment firm Burtch Works reported in a blog post earlier this month that more predictive analytics and data science teams were hiring at the beginning of 2017 than were hiring at the end of 2016.

Indeed, Burtch Works notes that 89.5% of teams are planning some form of hiring for the first half of the year compared to 84.3% for the last half of 2016. About three-quarters of those surveyed said they were planning a team expansion.

Consulting firms are expanding the most, followed by technology/telecom/gaming companies. Retail and consumer packaged goods (CPG) have the least companies expanding their teams. Financial services companies are not hiring right now, and Burtch Works suggests that this may be due to the fact that they are waiting to hear more about changes to the regulatory environment before making any moves.

Advertising and marketing firms are doing the most "backfilling," according to Burtch Works "which suggests this is an industry with high turnover."

All this is good news for those looking to make a move in the predictive analytics or data science fields. If you are one of those looking to make a change, you will probably want to check out AllAnalytics radio's recent audio interview with recruitment executive John Reed of Robert Half Technology. Reed spoke to A2 radio about the evolution of the data scientist role within organizations today. A few years ago the title "data scientist" was red hot and organizations were scrambling to recruit talent that possessed three skill sets -- coding, statistics, and business domain knowledge. Reed addresses changing expectations for the role and how organizations have retooled themselves to accommodate the scarcity of professionals in this field.

Even if you are not at the data scientist level in the analytics field, technology pros with analytics skills remain in demand today. A quick search at shows more than 36,000 open jobs listed.

If you are looking to move into a career in data analytics from another technology role, we have some advice for you, too. Check out this blog post where we list a few of our best tips for moving over to an analytics career. [One thing to note is that since we first posted that blog, Kaggle has been acquired by Google. Things move fast in technology.]

Finally, if you haven't read it already, you should check out how one of our own, AllAnalytics blogger and entrepreneur Pierre DeBois moved from another technology career into an analytics career. I always find career change stories inspiring. What about you? Did you move into analytics from another field? Or are you looking to move to analytics now? Let us know in the comments.

Jessica Davis, Senior Editor, Enterprise Apps, Informationweek

Jessica Davis has spent a career covering the intersection of business and technology at titles including IDG's Infoworld, Ziff Davis Enterprise's eWeek and Channel Insider, and Penton Technology's MSPmentor. She's passionate about the practical use of business intelligence, predictive analytics, and big data for smarter business and a better world. In her spare time she enjoys playing Minecraft and other video games with her sons. She's also a student and performer of improvisational comedy. Follow her on Twitter: @jessicadavis.

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Re: Kaggle
  • 4/19/2017 4:42:57 PM

That's an interesting aquisition for Google to make.   I have to say that Google is one of the more interesting companies to watch for trends. 

I'm not surprised to hear that there is a lot of growth with consultant firms as many analytical endevours are project based and consultant firms provide flexibility. 

  • 4/14/2017 11:49:05 AM

Yes, they do move fast. Google acquired Kaggle just a few weeks ago. I learned about that in an exchange with one of the instructors at Data Science Academy.