The Data Science role at Randstad Sourceright is about creating brand new insights into the global world of work. Think supporting decision making in matching supply and demand, identifying career paths, setting salaries and bill rates and analyzing candidate pipelines. The Data Scientist is part of an agile team that includes people analytics and a software engineer. You're collaborating frequently with fellow data scientists within the Randstad ecosystem, e.g. on global projects. Additionally you work with client teams on specialized advanced analytics requests to support current accounts and expand business. The impact of your work depends not only on the quality of your products, but especially in your ability to communicate the value and evidence of the proper functioning of your models and analyses.
Data wrangling: preparing data from a great variety of sources, both internal (e.g. talent and salary/rate data) and external (job postings, market data), extracting skills from job postings with NLP/text mining techniques
Model building: building descriptive, predictive and prescriptive models; working with Digital Factory to build compensation prediction models
Statistical analyses: build specialized analytics to support clients and deal pursuits
Partnering with analytical teams in the Randstad ecosystem to harmonize and enrich data (models) and grow collective data science skills
Education – Masters degree in an analytical science or Bachelor’s with additional training and experience in data science. PhD a plus
Experience – working experience in a corporate environment preferred
Highly analytical mind: you simply love data and have the ability to perform deep analyses in a sound way
Curiosity: exploring what's next is a second nature
Collaboration: ability to connect to teammates, colleagues and partners from a diverse background and co-create in making a great product
Ethics: you are very aware about the ethical aspects concerning data, analytics, ML and AI and approach things from an 'ethics by design' perspective
ML methods: regression, clustering, time-series analysis, NLP/text mining (must)
Data visualization tools (e.g. Tableau, R Shiny, Google Data Studio)
Cloud platforms: GCP (preferred)
What we can offer
At Randstad Sourceright you will find an inspiring working environment in which you, together with your team and colleagues, will make a difference for our customers in using the latest technologies in the world of recruitment and selection. In addition to a lot of attention to your personal development plan, including thousands of hours of lessons and training materials, you can count on a good, competitive salary and an attractive package of fringe benefits, including: 8.5 % holiday pay, 25 vacation days, an expense allowance, an attractive share scheme and the possibility of purchasing and selling your vacation days.
Want to read more about our company?
Visit: www.randstadsourceright.com or contact our dedicated recruiter via direct message or via this e-mail: