- Region of Impact
- Total funding
- $1 million
- Funding began in
- Job matching
Using data science to provide personalized career job search advice to jobseekers
What they do
Nearly 10% of the French adult population is unemployed. And for millions of jobseekers, the path to employment is unclear. Resources for the unemployed are strained, and information about the labor market can be difficult to access.
Bayes Impact created open-source software that uses big data to help jobseekers more successfully find employment. By partnering with the French government, domain experts, and other NGOs, Bayes Impact gained access to anonymized historic employment data. Using this data, combined with jobseekers’ preferences and skills, Bayes Impact’s platform, Bob Emploi, applies machine learning to generate personalized job search recommendations. The process maximizes jobseekers’ chances of pursuing a successful career.
How we're helping
With the help of Google.org, Bayes Impact is well on its way to serving 500,000 disconnected job seekers in France. Building on its promising early success so far, we’re funding Bayes Impact to bring Bob Emploi to two additional European countries and further the development of the platform.
In addition to grant funding, a team of volunteer Google engineers will help the Bayes Impact team build a new skills recommendation feature for the Bob Emploi platform, and incorporate Google’s newest machine learning techniques into their platform. These advances will help job seekers identify the skills and resources they need to successfully find employment in specific positions and industries.
Google volunteers will also help the Bayes Impact team envision the Bob Emploi product roadmap. The process will kick off with a design sprint to plan growth for the next three to five years, and a longer term vision for further scale and innovation.