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Lead Data Science Researcher
Top Remote TalentDüsseldorf, North Rhine-Westphalia, .DEPersonalberater und Partner bei der IT Personalberatung mit Alleinstellungsmerkmalen und hervorragen
IT Personalberatung Dr. Dienst & Wenzel GmbH & Co. KGDüsseldorf, Nordrhein-Westfalen, DEMarket Researcher International (m / w / d)
Lidl Stiftung & Co KGDüsseldorf, DE- Gesponsert
Application Specialist
Adaptive Business GroupDüsseldorf, DEUX Researcher (gn)
ControlExpert GmbHDüsseldorf, Nordrhein-Westfalen, DeutschlandUsability Tester / UX Researcher (m / w / d) bis zu 7.000€ brutto
Tech Staff Solutions Heidelberg GmbHDüsseldorf, Nordrhein-Westfalen, DELead Data Science Researcher
Top Remote TalentDüsseldorf, North Rhine-Westphalia, .DE- Quick Apply
A software development company is looking for a talented, long-term Lead DS Researcher.
The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.
We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team. You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.
This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.
What we’re looking for :
- Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;
- Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);
- Solid experience with deep learning frameworks like PyTorch or TensorFlow;
- Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;
- Familiarity with medical or life science data is a strong plus;
- Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;
- Comfortable working in Google Cloud Platform (GCP) environments.
Bonus points for experience with :
Benefits :