Scismic
A Job Matching Platform for Scientists
The /problem
Minimizing hiring bias is a complex problem. HR teams and hiring managers were still used to pen-and-paper processes. For scientists, filling up a detailed professional profile took time they didn’t have - and in some cases, they weren’t aware of what skills were most hotly sought after in the market.
To gain access to the widest possible candidate pool, Scismic would have to serve an international audience from day 1, with an audience of zero and no initial funding.
The /challenge
Instead of an open list that hiring teams could browse, we created an intelligent matching algorithm that automatically matched scientists to vacancies based on their skills and abilities, without their gender or race playing a role in the process.
We also made this system directly available to both hiring managers and their HR teams to fully manage their vacancies and candidates from a single convenient backend.
The /solution
Enhanced UX
We designed the Scismic UX to be as simple as possible, presenting a minimal learning curve for new users. We also made content readily available for print for recruiters.
Resume Parsing
For scientists, we cut down on the time spent building their complete profile. Interested scientists could simply upload their resume to automatically fill out a large portion of their Scismic profile.
Global Goals
Scismic was also deployed internationally in multiple regions to minimize latency for users across the world, from Dubai to Denver.
The /results
Scismic has raised the bar for fast, bias-free hiring for both scientists and corporations. The platform was 2x more effective in bringing in underrepresented hires. Clients reported savings of $20,000 or more per job in time and costs.