Freelance Data Scientist (Retail Customer Data Platform Modernisation)
Location: Berlin (Remote-first with occasional onsite travel)
Contract Length: 6–12 months
Day Rate: €750–€900/day
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).
Key Responsibilities
- Build machine learning models for real-time customer segmentation, churn prediction, and next-best-action scoring
- Optimise CDP architecture
- Leverage PySpark, MLflow, and Delta Lake to create clean, production-ready pipelines
- Implement identity resolution and behavioural analytics using first-party and third-party data
- Work closely with CRM, marketing, and digital product teams to drive personalisation use cases
- Support integration of CDP with cloud-based activation platforms and marketing tools
Key Requirements
- Strong experience with Databricks, PySpark, MLflow, and customer data modelling
- Solid understanding of CLTV, churn, segmentation, and personalisation frameworks
- 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
- Retail experience required
- Fluent German (B2+) essential
- Must be based in Berlin or surrounding region
If you are interested in the Freelance Data Scientist position, please apply with an up-to-date CV as soon as possible.