Lead Data Science Researcher

Top Remote Talent; Dortmund; Remote; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A software development company offers a unique opportunity for a Lead Data Science Researcher to join their mission-driven team. You will lead research initiatives that leverage machine learning to improve healthcare quality, working with an international team of experts. The fully remote position values curiosity and innovation, making it an ideal enviroment for driven individuals looking to make an impact.

Qualifikationen

• Strong background in machine learning, including classification, regression, and text data.
• Solid experience with deep learning frameworks like PyTorch or TensorFlow.
• Familiarity with medical data is a plus.

Aufgaben

• Lead a compact team of data scientists on research initiatives.
• Push boundaries of applied machine learning in medical data.
• Turn complex problems into innovative solutions.

Kenntnisse

Analytical skills

Statistical skills

Machine Learning

Deep Learning

Python

SQL

Pandas

Scikit-learn

Jobbeschreibung

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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.

Job fair

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;

Bonus points for experience with:

• State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;
• Experience with pipeline orchestration tools like Airflow, Argo, etc.;
• Proven experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;
• Intermediate+ English — ability to participate in written discussions with international teams and clients.

Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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