The Best Way to Setup Your Tech Team
BarRaiser platform helped The customer to Fix the organisation structure through data-driven insights.
More often than not, the job descriptions along with the expectations set for the roles in question seem the same over various organisations. Yet an employee with a stellar performance in company A, can’t qualify the technical interview with company B.
Our well-articulated and elaborate expectations for a job role often differ from our requirements.
One of the BarRaiser customers designed an interview structure for a Deep Learning Engineer (Data Science domain) on the platform. The customer was processing a data pipeline of ~2 TB in a day and hence incorporated Distributed Systems or Parallel Processing as one of the main deciding factors.
Upon completing a few interviews on BarRaiser Platform, the scores presented interesting insights.
All the candidates scored the least in Distributed Systems/ Parallel Processing. On further analysis conducted with the client, we found that the jobs were advertised for Deep Learning Engineers, hence candidates with experience in Data Science were applying.
Recruiter/ hiring managers were spending hours screening CVs based on the ML/ DL parameters when requirements were aligned with the Data Engineering Domain.
The evidence of this insight led to 2 conclusions, either the shortlisting process changes or the interview structures change (and hence the expectations).
On reviewing the data the customer decided to restructure the team with a Data Platform team, fulfilled by data engineers handling distributed data pipelines, and a Deep Learning team housing data scientists.
“BarRaiser interviews helped us align our organisation structure to adapt to the talent pool available. Thus, helping us hire faster and built a more robust product.” – Engineering manager