In the world of big data, data scientist jobs are in high demand. It can be hard to find people to fill those jobs since the field is just starting to come into its own. Applicant resume building can be difficult and employers might not be entirely sure what they are looking for in the first place. Lauren Brousell offers five tips to find and hire data scientists.
The first tip Brousell offers is to not limit yourself to only taking on one person. Of course, sometimes budgets will only allow for one new person to be taken on, but when then funds are available, two data scientists will almost certainly be better than one. Two data scientists can fill in each other’s experience gaps and allow for a system of checks and balances. Brousell also suggests that hiring managers look internally to see if the people they want to fill a position are right under their noses. If your company decides that an external candidate would be best, it is important to sell them on your company:
If your company decides to fish in the pool of external candidates, Reed says it’s important to have a strong and compelling story to tell because the up-and-coming tech firms and hot start-ups will be tough competitors for talent. “You have a cool story to tell if you work for Google or Facebook, but what if you don’t?” he says. “You have to get them excited about working [for your company}. You are selling them on joining your organisation. Unless you offer compensation and benefits and have a great story to tell, these people will [only]want to work on the coolest projects out there.
Brousell also suggests seeking out consulting skills when looking for data scientists. The logic here is that someone who finds ease in talking to a customer will also be able to creatively come up with a solution for that customer. Finally, Brousell suggests creating a presence in networking and technical user groups so that the right candidates will find you without necessarily even meaning to. Usually job candidates will come to you, but, in the case of hiring data scientists, hiring managers need to be the ones seeking out the applicants.