Medior ML engineer / data scientist

Are you our new colleague? We’re looking for a 

Medior ML engineer / 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. Learn more about our mission, history and values on our website: www.randstad.com 

how you will contribute 

As a Machine Learning Engineer / Data Scientist you will create brand new insights into the global world of work. We use the latest ML and AI techniques to deliver highly accurate models for supporting a variety of business applications and processes, including market demand, talent supply, career patterns, salaries and rates, and pricing.
The focus in this role will be working on our global taxonomy program, that is supporting our systems landscape worldwide. In this program we are creating and maintaining vital information on all kinds of vital elementary data concepts, such as jobs, occupations, skills, certificates, education and more. We are using the latest ML technology and LLMs to create our models, and present the results via ML pipelines with a balanced set of microservices.
You will be a part of an international and agile team of highly skilled specialists, including data scientists, ML engineers, data engineers, and data analysts. We have a major research background and are publishing some of our greatest work in academic papers.
You will work closely with other colleagues within the Randstad ecosystem, especially in the various 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 team members 

● 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 / Data Science, or related technical studies (M.Sc. or equivalent experience) 

● min. 2 to 3 years work experience as a ML engineer or data scientist with engineering skills 

● 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 

● 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

● ML modeling: relevant experience with NLP, LLMs, and working with the set of tools needed to build models on large and complex datasets (preferably in applied and research setting) 

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