Senior Data Scientist - AdTech & Healthcare AI

Sii Poland; Białystok; Vor Ort; PLN 180.000 - 240.000; 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 probabilistic methods and train models that extract signals from large real-world healthcare datasets. You will focus on predictive power, sample efficiency, and scalability to big data.

You will own data processing pipelines, integrate diverse sources, and apply graph methods using PyTorch, scikit-learn, spaCy, and Hugging Face while collaborating with a team of experts.

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

Python

scikit-learn

PyTorch

LightGBM

Splink

spaCy

Hugging Face

SQL

Snowflake

BigQuery

Databricks

Neo4j

Amazon Neptune

Stardog

Tools

Graph technologies

Jobbeschreibung

Sii Poland is seeking a senior ML engineer to design probabilistic methods and train models that extract signals from large real-world healthcare datasets. You will focus on predictive power, sample efficiency, and scalability to big data.

You will own data processing pipelines, integrate diverse sources, and apply graph methods using PyTorch, scikit-learn, spaCy, and Hugging Face while collaborating with a team of experts.