Data Scientist

Xomnia; Amsterdam; On-site; EUR 64,000 - 98,000; Full time

Benefits offered by this job

Yearly compensation between €64,000 - €98,000

€5,000 annual development budget

25 vacation days

Flexible working options

Company trips

Job summary

A leading data science firm in Amsterdam seeks a Data Scientist specializing in Recommendation Systems & Personalization. You will lead data science projects, develop scalable models, and collaborate with diverse teams. The ideal candidate has 3+ years of experience, a Master's degree, and strong Python skills. Competitive salary with growth opportunities available.

Qualifications

• 3+ years of experience as a Data Scientist or similar role.
• Strong foundation in statistics, probability, and applied mathematics.
• Fluent in Dutch and English.

Responsibilities

• Lead end-to-end data science projects from ideation to deployment.
• Develop and productionize models that deliver measurable business value.
• Design scalable recommendation systems and personalization strategies.

Skills

Experience with recommender systems

Python programming

Cloud environments (Azure, AWS, GCP)

Collaboration with stakeholders

Causal inference techniques

Education

Master’s degree in Computer Science, AI, Econometrics, or related field

Job description

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 experts 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: 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.

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

• 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).
• Ability to communicate clearly and work well with diverse stakeholders.
• A proactive mindset: you enjoy learning, sharing, and taking ownership of your work.
• Fluent in Dutch (required) and English.

What’s in it for you?

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.

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 [e-mail]. 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.