Senior Data Scientist (f/m/x)

Sii Poland

Katowice

On-site

PLN 240,000 - 320,000

Full time

31 hours 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
Comfortable and well-equipped offices
MySii app
Medical care

Job summary

Sii Poland is seeking 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 datasets into reliable entities and attributes.

You will own the linking pipeline end to end, apply graph ML techniques, and work on production-grade data pipelines using Python, SQL, FastAPI, and modern data warehouses.

Qualifications

  • Minimum 5 years of production ML or data science experience with hands-on entity linking at scale.
  • Proficient Python, production-grade, tested and type-hinted code.
  • Strong SQL and hands-on with FastAPI, Docker, pytest, Git and CI/CD.
  • Experience with probabilistic match scoring and evaluation methods.
  • Familiarity with graph algorithms and embeddings/GNNs.
  • Experience with ETL over large datasets and data-quality monitoring.
  • Knowledge of Snowflake, BigQuery or Databricks and graph tech like Neo4j.

Responsibilities

  • Extract entities and attributes from diverse sources, including warehouses and documents.
  • Design and implement probabilistic entity linking and deduplication at scale.
  • Own the end-to-end linking pipeline including scoring and calibration.
  • Link entities to controlled vocabularies for consistency across sources.
  • Apply graph ML techniques for clustering, centrality and link prediction.
  • Build and maintain data and graph estates with transformation and monitoring.
  • Improve algorithms in response to changing data sources and volumes.

Skills

Python
SQL
Graph ML
Data engineering
ETL
Advanced English
CI/CD

Tools

FastAPI
Docker
pytest
Git
Snowflake
BigQuery
Databricks
Neo4j
Amazon Neptune

Job description

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
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