Senior Data Scientist (f/m/x)

Sii Poland; Białystok; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Great working environment

Profit sharing

Medical care

Internal trainings

Team events

Office in Poland

Job summary

Sii Poland is seeking a Senior Data Scientist to design and implement scalable entity extraction, linking, and resolution for an AI-powered operating system in healthcare marketing.

You will own the linking pipeline end-to-end, leverage graph ML and probabilistic methods, and ensure data quality across large datasets while collaborating with a diverse team.

Qualifications

• Minimum 5 years of production ML or data-science experience with entity linking and resolution at scale.
• Strong Python production-grade coding with typing.
• Proficient in SQL and experience with FastAPI, Docker, pytest, Git, and CI/CD.
• Experience with 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 over large datasets and data-quality monitoring.
• Familiarity with Snowflake, BigQuery, or Databricks, and graph technologies like Neo4j or Amazon Neptune.
• Advanced level of English

Responsibilities

• Extract entities and attributes from heterogeneous sources including warehouses, registries, and documents.
• Design probabilistic entity linking and deduplication across large healthcare datasets.
• Own the linking pipeline end-to-end with scoring and calibrated match probabilities.
• Define link quality measures: precision, recall, calibration, and error analysis.
• Link entities to controlled medical vocabularies for consistency across sources.
• Apply graph representations and ML techniques for linking, clustering, and link prediction.
• Build and maintain the data and graph estate, including warehouse transformation.
• Improve performance of existing algorithms as data sources and volumes evolve.

Skills

Entity linking

Python

SQL

Graph ML

Production ML

Data modeling

Data quality monitoring

ETL

CI/CD

English

Tools

Snowflake

BigQuery

Databricks

Neo4j

Amazon Neptune

FastAPI

Docker

pytest

Git

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