Senior Data Scientist – AdTech & Healthcare (f/m/x)

Tired of building yet another chatbot POC? Do you want to train ML models that bring real monetary value and run at a billion-scale? Do you feel like introducing a brand-new probabilistic methodology for a real-world problem?
We build the AI-powered operating system for healthcare marketing - programmatic advertising, data intelligence, patient affordability and AI-enabled engagement for the life sciences industry.
We are looking for a person who knows how to design and implement statistical methods to extract signals from large, messy, real-world datasets and use them for prediction. Everything we build on top of that, from audience reach to specialty insight to measurement, is only as good as your layer.
Your tasks
Measuring existing model performance and finding ways to improve it
Owning the design of the new methodology and training the next-gen model for increased predictive power, sample efficiency, and scalability to large datasets
Extracting unique entities and sparse attributes from heterogeneous sources – both structured and unstructured
Designing and implementing probabilistic entity linking & matching across multiple large healthcare datasets
Exploring graph technologies and graph theory
Building and owning an analytics data store, evaluation, and monitoring pipelines
Requirements
Minimum 5 years of experience in training and monitoring ML models for production use
Experience with data and ML engineering, including ML-facing ETL processes over very large datasets and data-quality monitoring
Expertise in Python data-science and ML libraries like scikit-learn, PyTorch, LightGBM, Splink, spaCy, and Hugging Face
Practical experience in probabilistic methods for entity linking, matching, imputation, scoring, and evaluation
Strong command of SQL for distributed warehouses such as Snowflake, BigQuery, or Databricks
Advanced level of English
Nice to have
Experience with graph technologies such as Neo4j, Amazon Neptune, Stardog, or similar platforms
Familiarity with Graph Machine Learning concepts, including community detection, Graph Neural Networks (GNNs), and graph embeddings
Exposure to AI-powered development tools such as Cursor AI, Claude Code, or equivalent solutions
A proactive mindset with a willingness to take ownership of deliverables and contribute to product direction
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
Yes