In this role, you’ll lead end-to-end data science projects: from ideation and prototyping to model deployment and monitoring. Whether you’re optimizing personalization algorithms, measuring causal business impacts, or mentoring clients on best practices, you’ll combine deep technical skill with practical impact.
Translate business goals into scalable machine learning solutions.
Design, prototype, and productionize models that deliver measurable value.
Collaborate closely with data engineers, product teams, and stakeholders.
Design and deploy scalable recommendation systems.
Develop personalization strategies using learn-to-rank, bandit algorithms, and reinforcement learning.
Apply causal inference techniques to measure business impact.
Build production-ready systems using Python, cloud tools, and MLOps best practices.
Apply best practices in versioning, testing, and model monitoring.
Stay ahead of the curve by exploring new techniques in reinforcement learning, causal ML, and generative AI for recommendations.
Contribute to internal learning sessions and knowledge sharing within the team.
3+ years of experience as a Data Scientist, ML Engineer, or similar role, with a focus on recommender systems, personalization, or ranking models.
A Master’s degree in Computer Science, AI, Econometrics, or a related technical field.
Strong foundation in statistics, probability, and applied mathematics.
Excellent Python programming skills and experience building deployable models.
Experience with cloud environments (Azure, AWS, and/or GCP).
A consulting mindset: you enjoy listening, collaborating, and turning needs into solutions.
Fluent in English and Dutch.
A drive to learn, improve, and share knowledge - both internally and with the broader tech community.
We offer more than a job - we offer a platform for growth:
A yearly compensation between €64,000 - €98,000 (based on 40 hours, incl bonus).
€5.000 annual development budget
25 vacation days to recharge fully
Flexible working options (combination of office and remote work) and access to a professional network
Memorable company trips (Berlin this year!)
The opportunity to grow along with our success through Stock Appreciation Rights
At Xomnia, we believe that collaboration, knowledge sharing, and personal development are the keys to our success. That’s why we offer various trainings through our ‘Learning Labs’ and organize a yearly Health Month. We also regularly enjoy boat trips through the Amsterdam canals with our own boat, and there is always a healthy (free) lunch and a bar at the office.
At Xomnia, we believe in using data and AI to tackle real-world challenges. With a team of passionate experts from 20+ nationalities and over 30% female representation, we celebrate diversity and welcome different perspectives.
We are proud of our core values: We are challengers, we embrace agility, and we are always sharing.
Want to be part of this and take the next step in your career?
Apply now or contact Ezra Lammers at ezra.lammers@xomnia.com. We look forward to meeting you.
Note: For this specific position, we are looking for a candidate who has an EU citizenship, as we don’t offer any visa sponsorship.
