Senior ML Scientist – AdTech & Healthcare Analytics

Sii Poland; Szczecin; On-site; PLN 180,000 - 300,000; 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 large, messy healthcare data and to train models that scale to billions of records. You will own the methodology, improve predictive power, and ensure production readiness with robust ETL and monitoring.

You will work in Python with libraries such as scikit-learn, PyTorch, LightGBM, and SpaCy, run SQL in Snowflake/BigQuery/Databricks, and collaborate closely with data engineers and product teams in

Qualifications

• 5+ years of experience training ML models for production.

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

SQL

English

Production ML

Tools

scikit-learn

PyTorch

LightGBM

Splink

spaCy

Hugging Face

Snowflake

BigQuery

Databricks

Job description

Sii Poland is seeking an experienced ML Engineer to design and implement probabilistic methods for large, messy healthcare data and to train models that scale to billions of records. You will own the methodology, improve predictive power, and ensure production readiness with robust ETL and monitoring.

You will work in Python with libraries such as scikit-learn, PyTorch, LightGBM, and SpaCy, run SQL in Snowflake/BigQuery/Databricks, and collaborate closely with data engineers and product teams in