Senior Data Scientist, AdTech Healthcare - Probabilistic ML

Sii Poland; Województwo pomorskie; 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

Profit sharing

Passion Sponsorship program

Regular integration events and trips

Comfortable and well-equipped offices

Job summary

Sii Poland is seeking a skilled ML Engineer to design and implement probabilistic methods for complex healthcare data. You will train, monitor, and scale ML models, extracting signals from large real-world datasets to improve predictions and decision making.

You will own end-to-end data pipelines, work with Python, SQL, and modern ML libraries, and collaborate with cross-functional teams to deliver measurable business impact across marketing and life sciences projects.

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

Python ML

ML engineering

SQL

Probabilistic methods

English proficiency

Tools

scikit-learn

PyTorch

LightGBM

Splink

spaCy

Hugging Face

Snowflake

BigQuery

Databricks

Job description

Sii Poland is seeking a skilled ML Engineer to design and implement probabilistic methods for complex healthcare data. You will train, monitor, and scale ML models, extracting signals from large real-world datasets to improve predictions and decision making.

You will own end-to-end data pipelines, work with Python, SQL, and modern ML libraries, and collaborate with cross-functional teams to deliver measurable business impact across marketing and life sciences projects.