The right model for the job - Vacancy recommendations at Randstad

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Randstad HQ

Diemermere 25 · Diemen

How to find us

Easily reached by public transport. Also, big advantage for those coming by car, you can park here.

Location image of event venue

Details

We have another great event coming up, this time hosted by Randstad Group the Netherlands. In fact, the project we will share with you is one we are particularly proud of, as it is both meaningful on a personal level and successful from a business perspective. Randstad Group Netherlands IT will present its learnings and the results of its endeavours to use recommender engines to suggest the right job to the right person and the right person to the right job. Like last event we chose for a full-cycle project, as this paints the full picture of what it takes to bring a project to production.

-- Agenda:
17.30 - Doors open
18.00 - Drinks & food
18.30 - Welcome to Randstad Group Netherlands IT (RGN)
18.45 - The project: smart matching of vacancies and talents
19.00 - The science: a vacancy recommender
** 15 min break **
20.00 - The engineering: bringing it to production
20.40 - Wrap-up and time for social drinks, doors close at 21.30

-- The project: smart matching of vacancies and talents
Hugo Valk, Tech Lead at RGN, will outline the project: the idea, detailed use case, team, phases and the final data science product. In addition, he will share some of the key results and learnings of the project.

-- The science: a vacancy recommender
Robbert van der Gugten, Data Scientist and Engineer at BigData Republic, will talk data science: framing the modeling problem, performance metrics, validation strategy, machine-learning algorithms and challenges from a data science perspective.

-- The engineering: serving forecasts in production
Hugo will take the floor again and maps the road to production of this project: solution architecture, data platform, microservices, model serving, monitoring and challenges from a data engineering perspective. He will conclude by presenting the improvements for the near future, how Randstad expects to employ many more algorithms in a cost-effective way.

p.s. The event will be recorded and posted online afterwards