Senior Data Scientist – AdTech & Healthcare (f/m/x)
Miejsce pracy: Poznań
Technologies we use
Expected
Machine Learning
Graphs
Python
About the project
Tired of building yet another chatbot POC? Do you want to train ML models that bring real monetary value and run at a billion-scale? Do you feel like introducing a brand-new probabilistic methodology for a real-world problem?
We build the AI-powered operating system for healthcare marketing - programmatic advertising, data intelligence, patient affordability and AI-enabled engagement for the life sciences industry.
We are looking for a person who knows how to design and implement statistical methods to extract signals from large, messy, real-world datasets and use them for prediction. Everything we build on top of that, from audience reach to specialty insight to measurement, is only as good as your layer.
Your 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
Our requirements
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
Optional
Experience with graph technologies such as Neo4j, Amazon Neptune, Stardog, or similar platforms
Familiarity with Graph Machine Learning concepts, including community detection, Graph Neural Networks (GNNs), and graph embeddings
Exposure to AI-powered development tools such as Cursor AI, Claude Code, or equivalent solutions
A proactive mindset with a willingness to take ownership of deliverables and contribute to product direction
... monetization, advertising efficiency, prediction accuracy and platform performance Required Experience and Skills: - 5+ years of hands-on professional experience in Data Science, Applied ML or algorithm development - Significant practical experience in AdTech, programmatic advertising or real-time advertising platforms - Direct ...
... 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 Minimum 5 years of experience in training and monitoring ML models for production use, Experience with data and ML ...
... 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 Minimum 5 years of experience in training and monitoring ML models for production use, Experience with data and ML ...
... 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 Minimum 5 years of experience in training and monitoring ML models for production use, Experience with data and ML ...
... 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 Minimum 5 years of experience in training and monitoring ML models for production use, Experience with data and ML ...
... 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 Minimum 5 years of experience in training and monitoring ML models for production use, Experience with data and ML ...
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