Senior Data Scientist – AdTech & Healthcare AI (Production)

Sii Poland; Wrocław; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

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

Job summary

Sii Poland is seeking an experienced ML Engineer to design and implement probabilistic methods for entity linking and matching across large healthcare datasets. You will train models, improve performance, and scale pipelines while handling diverse data sources.

You will work with Python, ML libraries, and SQL-based data platforms to build a robust analytics layer and monitoring framework. Fluent English is required for collaboration across teams.

Qualifications

• 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

Responsibilities

• 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

Skills

ML engineering

Python

SQL

Statistics

Probabilistic methods

Data pipelines

Model training

English

Tools

Snowflake

BigQuery

Databricks

Neo4j

Job description

Sii Poland is seeking an experienced ML Engineer to design and implement probabilistic methods for entity linking and matching across large healthcare datasets. You will train models, improve performance, and scale pipelines while handling diverse data sources.

You will work with Python, ML libraries, and SQL-based data platforms to build a robust analytics layer and monitoring framework. Fluent English is required for collaboration across teams.