Welcome to the 2019 Predictive Analytics World (PAW) Conference Series. Recorded live in Las Vegas, this series is bringing interviews straight to you from exhibitors and speakers at this year’s event. In this interview, host Jamin Brazil interviews Mike Galvin, Executive Director of Data Science Corporate Training at Metis. Find Mike Online: Email: michael@thisismetis.com LinkedIn Metis [00:02] Hi, I’m Jamin, and you’re listening to the Happy Market Research Podcast. We are live today at Predictive Analytics World. My last guest at the show is Mike at Metis. Tell me a little bit about the company. [00:17] Sure, so, as you know, that in analytics, data science talent... There’s a huge gap and there’s a large demand for it. So, that’s where we come into play. We’re a data science and analytics training company. We’re part of Kaplan. So, if you’ve heard of Kaplan, the global education company... We’re about six years old, launched organically, and we work with companies to upskill their staff, both technically and non-technically in kind of all things data science and analytics (data literacy, tools, machine learning). [00:45] That’s awesome. I actually think data science is the No. 1 job right now, nationally; I’m not sure if it’s global but certainly in the U.S. And there’s a big gap in terms of the need, the desire to hire from big companies and small companies, for that matter, and the available workforce. Sounds like you guys are playing a big part in, after people are hired, that subsequent improvements and ongoing skills training. [01:15] That’s part of what we do. There’s a little bit more. So, we have an accredited boot- camp that’s twelve weeks long. We have it in New York, San Francisco, Seattle, and Chicago. That is a retail consumer product for people who want to shift into or pivot their careers into data science roles. [01:30] How is that helping? [01:32] So, that helps with the data acquisition, intel acquisition pipeline at the entry level. Then, there’s the corporate training business, which is where I work. Within the corporate training business, we work with companies who not only upskill their existing tech talent in data sciences and in new areas and new tools and things like that but also their broader workforce; sometimes, even not technical in C-suite all the way down to individual contributors to build that literacy and fluency so that they can interact and collaborate with the data science teams more. [02:01] Oh, that’s very cool, very cool. Do you uh... On the engagement side of things, do you guys also have placement, help companies with placement or job candidate as you’re doing...? It seems like there’s that middle piece between people want to pivot their careers, right; so, you’re training at the data camps, etc. And then, all of a sudden, there’s like the need, which you’re training people internally, right; so, the space in the middle is, “I want to hire.” [02:32] So, not directly but indirectly. So on the bootcamp side, part of that is getting people jobs.
Welcome to the 2019 Predictive Analytics World (PAW) Conference Series. Recorded live in Las Vegas, this series is bringing interviews straight to you from exhibitors and speakers at this year’s event. In this interview, host Jamin Brazil interviews Mike Galvin, Executive Director of Data Science Corporate Training at Metis.
Find Mike Online:
Email: michael@thisismetis.com
Metis
[00:02]
Hi, I’m Jamin, and you’re listening to the Happy Market Research Podcast. We are live today at Predictive Analytics World. My last guest at the show is Mike at Metis. Tell me a little bit about the company.
[00:17]
Sure, so, as you know, that in analytics, data science talent... There’s a huge gap and there’s a large demand for it. So, that’s where we come into play. We’re a data science and analytics training company. We’re part of Kaplan. So, if you’ve heard of Kaplan, the global education company... We’re about six years old, launched organically, and we work with companies to upskill their staff, both technically and non-technically in kind of all things data science and analytics (data literacy, tools, machine learning).
[00:45]
That’s awesome. I actually think data science is the No. 1 job right now, nationally; I’m not sure if it’s global but certainly in the U.S. And there’s a big gap in terms of the need, the desire to hire from big companies and small companies, for that matter, and the available workforce. Sounds like you guys are playing a big part in, after people are hired, that subsequent improvements and ongoing skills training.
[01:15]
That’s part of what we do. There’s a little bit more. So, we have an accredited boot- camp that’s twelve weeks long. We have it in New York, San Francisco, Seattle, and Chicago. That is a retail consumer product for people who want to shift into or pivot their careers into data science roles.
[01:30]
How is that helping?
[01:32]
So, that helps with the data acquisition, intel acquisition pipeline at the entry level. Then, there’s the corporate training business, which is where I work. Within the corporate training business, we work with companies who not only upskill their existing tech talent in data sciences and in new areas and new tools and things like that but also their broader workforce; sometimes, even not technical in C-suite all the way down to individual contributors to build that literacy and fluency so that they can interact and collaborate with the data science teams more.
[02:01]
Oh, that’s very cool, very cool. Do you uh... On the engagement side of things, do you guys also have placement, help companies with placement or job candidate as you’re doing...? It seems like there’s that middle piece between people want to pivot their careers, right; so, you’re training at the data camps, etc. And then, all of a sudden, there’s like the need, which you’re training people internally, right; so, the space in the middle is, “I want to hire.”
[02:32]
So, not directly but indirectly. So on the bootcamp side, part of that is getting people jobs. So we have an entire career support team.
[02:40]
Oh, you do then.
[02:41]
Yeah.
[02:41]
OK, got it.
[02:41]
To get people into actual data science jobs. And over the past five-and-a-half, six years, we developed a huge network of hiring partners that we work with, and this ranges from Apple and Facebook to IBM and Ooze and all the way down to smaller companies as well, depending on who it is. We started with the bootcamp, but that hiring network is really how we kind of started getting to the data science corporate training space ‘cause we started talking to them and realized, “Hey, there’s not only this entry-level hiring partner...”
[03:12]
See, I think that’s really important because you’re offering really the whole product for the corporation,