Data Scientist @ Xomnia

About The Role And The Xomnia Culture

At Xomnia, data science is about solving meaningful challenges - not just building models, but delivering intelligence that performs at scale. As a Data Scientist specializing in Recommendation Systems & Personalization, you’ll join a team of passionate consultants who thrive on using data to create lasting value.

From personalized recommendation engines to causal impact analysis and reinforcement learning-driven decision systems, your work will span industries like e-commerce, media, finance, and more. Our culture is built on curiosity, shared ownership, and challenging the status quo - with room to grow, experiment, and make a real difference.

Are you ready to take on this challenge?

In this role, you’ll lead end-to-end data science projects for our clients: 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 consultancy skills and deep technical skill with practical impact.

Your role

• 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.
  
  

What You Bring To The Table

• Preferable +/- 2-5 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.
  
  

What’s in it for you?

We offer more than a job - we offer a platform for growth:

• A monthly salary between €3.800 - €6.200 per month (based on 40 hours and excluding vacation allowance)
• €5.000 annual development budget
• 25 vacation days to fully recharge
• Secondary benefits such as pension, flexible working options (in terms working location) and the possibility to take unpaid leave
• 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.

Become a Xomnian!

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 always share.

Want to be part of this and take the next step in your career?

Apply now or reach out to [email protected]. We look forward to meeting you.

Note; For this specific position, we are looking for a candidate that has an EU citizenship as we don’t offer any visa sponsorship.