Data Scientist

We are looking for a Data Scientist to revolutionize how talent meets opportunity. You will be working on the core intelligence of our HR platforms, building the next generation of semantic search, recommendation engines, and automated matching algorithms that connect millions of candidates with their dream jobs.

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

• build ML models: design, train, and deploy scalable machine learning models (NLP, vector embeddings, graph neural networks) to understand resumes and job descriptions beyond mere keywords;
• optimization: enhance our semantic search capabilities, ensuring real-time, highly relevant, and unbiased search results for both recruiters and candidates.
• mitigate bias: Implement fairness and ethics-first constraints in our algorithms to ensure diverse and equitable hiring practices.
• move fast from prototyping in Python to deploying production-grade models in collaboration with our data engineers;
• define and appropriate work to the product backlog;
• train and coach junior data scientists and interns;
• collaborate within the data science community within the Randstad ecosystem, on sharing best practices, harmonizing ML models, and grow collective data science skills

what you will bring

• B.Sc. in computer science or related fields (B.Sc. or equivalent experience)
• min. 3 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: strong background in Natural Language Processing (transformers, LLMs, NER) and experience handling unstructured text data.
• you know your way around information retrieval systems, learning-to-rank techniques, and vector databases.
• 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