Senior Data Scientist (f/m/x)

We are looking for a Senior Data Scientist to join a project focused on building an AI-powered operating system for healthcare marketing. In this role, you will design and implement entity extraction, linking, and resolution at scale, reconciling large and fragmented datasets into reliable entities and attributes. You will work on production-grade products that create real value in the life sciences industry, ensuring the integrity and quality of the data used for audience reach and insights.
Your tasks
Extracting entities and attributes from heterogeneous sources including warehouse tables, registries, and documents
Designing and implementing probabilistic entity linking and deduplication across multiple large healthcare datasets
Owning the linking pipeline from end to end, including pairwise and graph-based scoring and calibrated match probabilities
Defining how link quality is measured through precision, recall, calibration, and error analysis
Linking entities and attributes to controlled medical vocabularies to ensure consistency across sources
Utilizing graph representations and graph ML techniques for linking, including clustering, centrality, and link prediction
Building and maintaining the data and graph estate, including warehouse transformation and monitoring
Improving the performance of existing algorithms in response to changing data sources and volumes
Requirements
Minimum 5 years of experience in shipping production ML or data-science work, including hands-on entity linking and resolution at scale
Deep expertise in Python, including production-grade, tested, and type-hinted code
Strong command of SQL and experience with FastAPI, Docker, pytest, Git, and CI/CD practices
Practical experience in probabilistic methods for match scoring, threshold selection, and evaluation
Comfort with graph algorithms and graph ML techniques, including embeddings and GNNs
Experience with data and ML engineering, including ETL processes over large datasets and data-quality monitoring
Familiarity with distributed SQL warehouses such as Snowflake, BigQuery, or Databricks, and graph technologies like Neo4j or Amazon Neptune
Advanced level of English
Job no. JOB-C3836
Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.
Benefits For You
Great Place to Work
Solid financial situation
Contracts with the biggest brands
Centre of internal trainings
Many experts you can learn from
Open and accessible management team
Profit sharing
Passion Sponsorship program
Regular integration events and trips
Comfortable and well-equipped offices
MySii app
Medical care

Work arrangement
No