Senior Data Scientist

 Are you our new colleague? We’re looking for a Senior data scientist at Randstad Global IT 

Diemen / hybrid / full time 

people at the heart of everything we do 

Working at Randstad is unlike working at any organization. Because at Randstad we put people at the heart of everything we do. This goes for our clients, our talent, our employees and society. We combine our passion for people with the power of today’s technologies. This helps us support people and organizations in realizing their true potential. We call this human forward. Learn more about our mission, history and values on our website: www.randstad.com 

how you will contribute 

As a Senior Data Science you will create brand new insights into the global world of work. We use the latest machine learning and AI techniques to deliver highly accurate models for supporting a variety of business issues, including market demand, talent supply, career patterns, salaries and rates, and pricing. The focus in this role will be creating predictive models for salaries and hourly rates, pricing, and other compensation related topics. 

We work with a wide variety of internal and external data sources, covering the main labor markets, which are constantly refreshed in our data platforms. 

You will be a part of an international and agile team of highly skilled specialists, including data scientists, data engineers, machine learning engineers, and data analysts. You will work closely with other data scientists within the Randstad ecosystem, for example on global projects. The impact of your work depends not only on the quality of your products, but especially on your ability to communicate the value and proof of concept of your models and analyses. 

what you will be doing 

● building Machine Learning (ML) models: preparing data from a wide variety of sources, both internal and external market data; creating predictive models for salaries, hourly rates, compensation in general and pricing.

● building ML pipelines that automate the training and deployment of models 

● defining and appropriating work to the product backlog 

● training and coaching junior data scientists 

● collaborating within the data science community within the Randstad ecosystem, on sharing best practices, harmonizing ML models, and grow collective data science skills 

who will you work with 

Our global data science team helps our customers make better hiring decisions and helps talent advance in their career paths. We help people find work by creating new insights into the dynamics of the global labor market and integrate those insights into customer- and talent-focused data products. We build and deploy machine learning models and tell stories with those insights. As an example - we create clarity where there are gaps in diversity, what a talent's next job might be, how market conditions should influence a hiring strategy, where we predict demand will go, and much more.

what you will bring 

● Masters degree in Computer science or related technical studies (M.Sc. or equivalent experience) 

● min. 5 years work experience as a data scientist 

● machine learning (ML) platform: excellent working knowledge of analytical, AI and ML stacks on cloud platforms, preferably on Google Cloud Platform (incl. BigQuery, AI & ML stack) or comparable platforms 

● ML modeling: experience working with the set of tools needed to build models on large and complex data sets (preferably in applied and research setting) 

● coding: high proficiency in Python (incl. relevant libraries and packages) and SQL 

● ML engineering: experience with the creation of ML pipelines and ML Ops related techniques

what’s in it for you 

We put people at the heart of everything we do. Our employment conditions reflect this; 

● competitive salary 

● an additional flexible benefit budget 

● attractive bonus scheme 

● option to take part in Randstad's success through our employee Share Purchase Plan 

● option to go on a sabbatical leave or buy extra holidays 

● flexible working hours in the office or hybrid] 

● attractive mobility arrangements 

● opportunity to give back to local communities through paid volunteering leave 

● a generous budget to set up your home office space and a net internet allowance] 

● growth and development opportunities in a fast changing global environment 

● working with great people and being part of a network where everyone wants you to succeed 

● an environment where differences are understood, valued and celebrated 

We want our teams and talent to reflect the rich diversity of the societies we serve. We thrive for an environment of belonging, safety and confidence. So everyone can bring their whole selves to work and flourish. Learn more about equity, diversity, inclusion and belonging at randstad here. 

If you recognize yourself in the profile above, we invite you to apply for this role.
For more information you can reach out to our recruitment business partner Jenny Roberts . 

The recruitment procedure consists of a screening and at least two interviews. Later in the process, an (online) assessment and a job offer conversation take place