Senior Data Scientist – AdTech & Healthcare

New

SiiAdTech, healthcare

Workplace type: remote; Locations: Wrocław, -, Wrocław, Country code: PLFull-TimeSenior

Salary not disclosed

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Job Details

Languages: Advanced level of English
Experience: Minimum 5 years of experience in training and monitoring ML models for production use
Required Skills: PythonSQLMachine LearningPyTorchData engineeringscikit-learn

Have a minimum of 5 years of experience training and monitoring ML models for production use.
Bring data and ML engineering experience, including ML-facing ETL processes over very large datasets and data-quality monitoring.
Have expertise in Python data-science and ML libraries, including scikit-learn, PyTorch, LightGBM, Splink, spaCy, and Hugging Face.
Have practical experience with probabilistic methods for entity linking, matching, imputation, scoring, and evaluation.
Have a strong command of SQL for distributed warehouses such as Snowflake, BigQuery, or Databricks.
Have an advanced level of English.
Nice to have: experience with graph technologies such as Neo4j, Amazon Neptune, Stardog, or similar platforms.
Nice to have: familiarity with graph machine learning, including community detection, Graph Neural Networks (GNNs), and graph embeddings.
Nice to have: exposure to AI-powered development tools such as Cursor AI, Claude Code, or equivalent.

Measure existing model performance and identify ways to improve it.
Own the design of new methodology and train next-generation models for predictive power, sample efficiency, and scalability to large datasets.
Extract unique entities and sparse attributes from structured and unstructured sources.
Design and implement probabilistic entity linking and matching across large healthcare datasets.
Explore graph technologies and graph theory.
Build and own an analytics data store, evaluation, and monitoring pipelines.

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