> Markdown version of [/jobs/ext/3294080-data-scientist](https://www.wearedevelopers.com/jobs/ext/3294080-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Think Group - **Location:** Berlin, Germany - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Information Leak Prevention, Python (Programming Language), Machine Learning, Standard Sql, Feature Engineering, Model Validation - **Published:** September 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c40deccc1fae5238 ## About the Role * 3+ years of experience in Data Science, Advanced Analytics, or a comparable role * Strong SQL and Python skills, including experience with common data science and machine-learning libraries * Solid knowledge of statistical and predictive modelling, feature engineering, and model evaluation * Experience operationalizing analytical models for recurring business use * A strong understanding of validation, data leakage, bias, uncertainty, and model limitations * A pragmatic approach focused on the simplest reliable solution * Strong stakeholder management skills and the ability to challenge assumptions and communicate what data can and cannot support * A proactive, ownership-driven way of working ## Description * Translate complex product and business questions into structured analytical, statistical, and machine-learning approaches * Develop predictive and diagnostic models and derive robust signals from customer, product, and behavioural data * Own solutions end to end - from outcome definition, feature engineering, and validation to operationalization, monitoring, and continuous improvement * Design analyses that identify meaningful drivers, test assumptions, and quantify uncertainty * Create reusable analytical assets, including models, scores, features, and evaluation frameworks * Partner with Product, Marketing, Commercial, and other teams to turn complex findings into clear decisions and actions