Lead Data Science Researcher

Top Remote Talent; Hamburg; Remote; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An innovative software development company seeks a Lead Data Science Researcher to spearhead groundbreaking research in healthcare. This role involves leading a compact team of data scientists to explore uncharted territories in applied machine learning, particularly with medical and clinical data. You'll have the opportunity to drive forward new ideas and applications that significantly enhance the quality of medical services. Join a mission-driven team that values curiosity and autonomy, and work in a fully remote-friendly environment that encourages collaboration among top-tier experts in the field.

Leistungen

Flexible working hours

Remote work setup

Collaborative culture

Mission-driven projects

Qualifikationen

• Exceptional analytical and statistical skills with comfort in uncertainty.
• Strong background in various ML techniques and deep learning frameworks.

Aufgaben

• Lead a team of data scientists on high-impact research initiatives.
• Push the boundaries of applied machine learning in medical data.

Kenntnisse

Analytical Skills

Statistical Skills

Machine Learning

Deep Learning (PyTorch, TensorFlow)

Python Programming

SQL

Pandas

Scikit-learn

Google Cloud Platform

Natural Language Processing

Tools

Airflow

Argo

Jobbeschreibung

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 about creating products that improve the 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:

• 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.

Benefits:

• 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.