Senior Data Scientist — Graph ML & Entity Linking

Sii Poland

Toruń

On-site

PLN 260,000 - 380,000

Full time

5 days ago
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Benefits offered by this job

Great Place to Work
Centre of internal trainings
Profit sharing
Regular integration events and trips
Medical care
MySii app
Comfortable and well-equipped offices

Job summary

Sii Poland is looking for a Senior Data Scientist to join a project building an AI-powered operating system for healthcare marketing. 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 for life sciences, ensuring data integrity and quality used for audience reach and insights.

Qualifications

  • Minimum 5 years shipping production ML or data-science work.
  • Experience with entity linking and resolution at scale.
  • Strong Python production-grade code with typing.
  • Hands-on with graph algorithms and ML techniques.

Responsibilities

  • Extract entities and attributes from diverse sources including warehouses and documents.
  • Design and implement probabilistic entity linking and deduplication across large healthcare datasets.
  • Own the end-to-end linking pipeline, including scoring and calibrated match probabilities.
  • Define link quality metrics such as precision, recall, calibration, and error analysis.
  • Link entities to controlled medical vocabularies to ensure data consistency.
  • Use graph representations and graph ML techniques for linking, including clustering and link prediction.
  • Build and maintain the data and graph estate, including ETL and monitoring.
  • Improve performance of existing algorithms as data sources evolve.

Skills

Python
SQL
FastAPI
Docker
pytest
Git
CI/CD
probabilistic methods
graph ML
ETL
data engineering
English

Tools

Snowflake
BigQuery
Databricks
Neo4j
Amazon Neptune

Job description

Sii Poland is looking for a Senior Data Scientist to join a project building an AI-powered operating system for healthcare marketing. 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 for life sciences, ensuring data integrity and quality used for audience reach and insights.

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