Data Scientist

November 5, 2026

Hybrid

Middle

Hoofddorp, Netherlands

Indeed

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Mandatory office attendance
4 days per week
English is required

Description

A Data Scientist role on a multidisciplinary Data Platform Team, turning business questions into data-driven solutions for operations, marketing and finance. The work covers the entire solution lifecycle, from ideation and proof of concept to rollout and post-launch performance tracking. Predictive models, A/B tests and AI/LLM experiments are built on a Databricks platform supporting millions of members across Europe.

Responsibilities

Explore data together with stakeholders and translate business questions into data science solutions
Design, develop and deploy predictive models on the Databricks platform across operations, marketing and finance
Set up experiments and A/B tests to measure the real impact of solutions
Explore how AI, LLMs and agents can create new value and improve how we work
Present results to stakeholders in a way that supports better decision making
Collaborate with Data Platform Engineers, Analysts and BI Developers to bring solutions into production
Increase data literacy and demystify data science across the business
Work through the entire solution lifecycle from ideation to post-launch performance tracking

Requirements

Bachelor or Master degree in Mathematics, Computer Science, Econometrics or a related field
3+ years of relevant work experience in data science
Strong knowledge of machine learning algorithms, frameworks and packages, with experience taking models from idea to production
Experience developing models across different domains such as operations, marketing and finance
Strong skills in Python and SQL with hands-on experience in Databricks and Spark (PySpark) for large-scale data
Proven experience with MLOps practices such as experiment tracking, model deployment and monitoring (e.g. MLflow)
Solid knowledge of statistics including hypothesis testing, experimentation and regression
Excellent communication skills in English, able to explain complex results to non-technical audiences
Experience with AI such as working with LLMs and building agents is a plus
Analytical thinking with strong team and problem-solving skills, able to turn insights into concrete actions

Conditions

Full-time employment
4 days in the office, 1 day from home each week
Unlimited access to GoodHabitz and LinkedIn Learning
Plenty of opportunities for professional and personal development
Travel allowance, bike plan, health insurance discounts and remote work allowance
Access to the gym at HQ
Informal, international and down-to-earth work environment
Your ideas contribute to strategic projects