How to figure out the right composition of people, processes and productivity.
On to the finer detail of how to actually get hold of some of these data science people. It’s worth starting with a reality check from Neil Yager, Chief Scientist at Phrasee. He says, “In general, this is a challenging task and people should manage their expectations up front. This is a relatively new field and demand is high. Therefore, the pool of available talent is rather limited.”
It’s for this reason that the number of vendors offering embedded cognitive computing functionality has skyrocketed over the last couple of years. There are now hundreds that offer some machine learning capability, with martech a particular growth area.
The shortage of expertise means that if you are going ahead with your own in-house team, your first hire and the team leader is particularly important. Yager explains: “..due to high demand and short supply, salaries tend to be at the high end. My recommendation is that the first hire be someone relatively senior and experienced. Don’t be tempted to build a larger team of less experienced people — this will be counter productive in the long run.”
So what do you do when all signs point to having to go to University to gain any sort of advantage? Unfortunately it’s the current state of affairs that most employers will not hire you unless you have a degree for even junior or starting jobs. Once you have that degree, coming to my Mentor Program, with 1000ml with our Patent Pending training system, the only such system in the world; is the only way to gain the practical knowledge and experience that will jump start your career.
Check out our next dates below for our upcoming seminars, labs and programs, we’d love to have you there.