United StatesHealthcare and life sciences2019 – ongoingJohnson & Johnson
Machine-learning job search on the career site
Johnson & Johnson drew 41% more highly qualified applicants per search after adding machine-learning job search
Problem
Johnson & Johnson gets about 1 million applications for 25,000 positions a year, yet few applicants were highly qualified. Career-site search often did not show the right jobs to strong candidates.
Approach
The company worked with career-site provider Jibe, which added Google's Cloud Talent Solution. The service uses machine learning to match job listings to job seekers' interests and qualifications. The page says the career site improved in a few weeks.
Results
Takeaway
Johnson & Johnson changed search on a site it already had and did not rebuild its hiring process. The page reports applicant quality per search and click-throughs, not hiring speed.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Human resources
- Innovation type
- Process innovation
- AI technology
- Recommendation and personalization
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Google Cloud's customer story describes how Johnson & Johnson used Jibe and Cloud Talent Solution to improve search on its career site. It reports a 41% rise in high-quality applicants per search and a nearly 45% rise in click-through rate. The page carries no date; the Internet Archive first saved it on April 16, 2019.
Full details are in the original sources.
