Data Scientist

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.

Responsibilities:

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

Minimum Requirements:

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

Ownership: taking responsibility, self-propelling, pro-active attitude

Knowledge and experience with

Programming: expertise in python (pandas, scikit-learn) or R

Databases: SQL (must), BigQuery (preferred), ElasticSearch (preferred)

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:

matej.hoyt@randstadsourceright.eu