Senior Data Scientist: Probabilistic ML for AdTech & Healthcare

Sii Poland; Kraków; Vor Ort; PLN 180.000 - 320.000; Vollzeit

Benefits dieser Stelle

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

Zusammenfassung

Sii Poland is seeking a senior ML engineer to design and implement probabilistic methods for entity linking and predictive modeling on large healthcare datasets. You’ll train production-grade models, own data pipelines, and optimize performance for scale. The role combines research with practical deployment across analytics platforms, delivering measurable business value.

Join a team of experts, work in a modern office in Kraków, and contribute to AI-powered health marketing solutions.

Qualifikationen

• 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

Aufgaben

• 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

Kenntnisse

ML model production training

Python data-science

Scikit-learn

PyTorch

LightGBM

SpaCy

Hugging Face

SQL for data warehouses

English proficiency

Probabilistic methods

Tools

Snowflake

BigQuery

Databricks

Neo4j

Amazon Neptune

Stardog

Jobbeschreibung

Sii Poland is seeking a senior ML engineer to design and implement probabilistic methods for entity linking and predictive modeling on large healthcare datasets. You’ll train production-grade models, own data pipelines, and optimize performance for scale. The role combines research with practical deployment across analytics platforms, delivering measurable business value.

Join a team of experts, work in a modern office in Kraków, and contribute to AI-powered health marketing solutions.