Role overview
We’re looking for a Senior Data Scientist to build and productionize analytics that improve healthcare affordability and outcomes. You’ll own the full lifecycle from data ingestion and feature engineering to modeling, validation, and deployment working with privacy-sensitive healthcare data in cloud environments.
What You’ll Do
- Develop and deploy ML models on real world healthcare data
- Build robust analytics pipelines (DBT + orchestration)
- Partner cross functionally to translate data into impact
- Apply privacy, security, and governance best practices (HIPAA/GDPR)
- Support end-to-end ML lifecycle and MLOps in production
What You Bring
- 5+ years in Data Science / ML, with hands-on healthcare data experience
- Strong Python and ML stack (scikit-learn, PyTorch/TensorFlow, etc.)
- DBT expertise and workflow orchestration (Airflow, Dagster, ADF, etc.)
- Cloud experience (Azure preferred, AWS/GCP welcome)
- Solid MLOps/DataOps understanding
- Strong communication and data storytelling skills
What we're looking for
- Embeddings, retrieval, and evaluation workflows
- Responsible LLM use in healthcare (RAG, summarization)
- Graph analytics (e.g., Neo4j)
- MLflow, Azure ML, or similar monitoring tools
What We Offer
- Attractive salary
- Large freedom and real influence
- No unhealthy competition, team approach to meeting challenges
- Remote-first, flexible working culture
- Company apartments in cool cities across Europe: work and enjoy a memorable getaway
About Us
We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.
Job Type: Full-time
Pay: €54,000.00-€120,000.00 per year
Benefits:
- Work from home
Work Location: Remote