Senior Data Scientist, Large-Scale Healthcare AdTech

Sii Poland; Bydgoszcz; In loco; PLN 180.000 - 280.000; Tempo pieno

Vantaggi offerti da questo lavoro

Great Place to Work

Centre of internal trainings

Profit sharing

Medical care

Descrizione del lavoro

Sii Poland is seeking an experienced ML Engineer to design and implement probabilistic methods for entity linking and scalable prediction on large healthcare data. You will own model design, improve performance, and extract meaningful signals across structured and unstructured sources.

The role requires 5+ years of production ML experience, strong Python expertise, and proficiency with SQL-based data warehouses. Collaboration with a team of experts is expected.

Competenze

• 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.
• Advanced Python data-science and ML libraries (scikit-learn, PyTorch, LightGBM, Splink, spaCy, Hugging Face).
• Practical experience in probabilistic methods for entity linking, matching, imputation, scoring, and evaluation.
• Strong SQL for distributed warehouses such as Snowflake, BigQuery, or Databricks.
• Advanced level of English.

Mansioni

• Measure existing model performance and find ways to improve it.
• Own the design of the new methodology and train the next-gen model for increased predictive power and scalability.
• Extract unique entities and sparse attributes from heterogeneous sources.
• Design and implement probabilistic entity linking & matching across large healthcare datasets.
• Explore graph technologies and graph theory.
• Build and own analytics data store, evaluation, and monitoring pipelines.

Conoscenze

ML engineering

SQL for warehouses

English proficiency

Strumenti

Python data-science libraries

scikit-learn

PyTorch

LightGBM

Splink

spaCy

Hugging Face

Graph technologies

Descrizione del lavoro

Sii Poland is seeking an experienced ML Engineer to design and implement probabilistic methods for entity linking and scalable prediction on large healthcare data. You will own model design, improve performance, and extract meaningful signals across structured and unstructured sources.

The role requires 5+ years of production ML experience, strong Python expertise, and proficiency with SQL-based data warehouses. Collaboration with a team of experts is expected.