Freelance Data Scientist (Retail Customer Data Platform Modernisation)
Location: Berlin (Remote-first with occasional onsite travel)
Language: B2+ German
Client: Retail/E-commerce
Project Overview
We’re partnering with a market-leading retail & e-commerce company based in Berlin as they modernise their Customer Data Platform (CDP) to enable real-time customer insights, personalised experiences, and scalable AI-driven segmentation.
This is a strategic transformation initiative powered by Databricks and a modern cloud-native data stack, offering a unique opportunity to shape how customer data is modelled, activated, and optimised across the business.
The role is remote-first with occasional travel to Berlin HQ (1–2 days/month).
Build machine learning models for real-time customer segmentation, churn prediction, and next-best-action scoring
Implement identity resolution and behavioural analytics using first-party and third-party data
Support integration of CDP with cloud-based activation platforms and marketing tools
Strong experience with Databricks, PySpark, MLflow, and customer data modelling
Python & SQL expertise with a cloud-native mindset (Azure)
Familiarity with CDP platforms, data privacy, and marketing technology (e.g., Adobe, Salesforce, Bloomreach) is a plus
Fluent German (B2+) essential
If you are interested in the Freelance Data Scientist position, please apply with an up-to-date CV as soon as possible.