Poland onlyIn this role, you will lead the development of advanced segmentation and classification models, deploying scalable machine learning (ML) solutions across a vast network of business entities.
Responsibilities
- Design, implement, and optimize machine learning models for clustering, classification, and risk-based segmentation
- Process and analyze complex transactional datasets, enhancing model performance and scalability
- Conduct advanced statistical modeling, scenario tuning, and parameterization activities
- Work extensively with Apache Spark (including internals), Python, and Git to develop, test, and operationalize solutions
- Collaborate closely with data engineering and business teams to ensure smooth integration and continuous model refinement
Requirements
- Master's degree in Data Science or a related discipline
- 7+ years of hands-on experience in ML/AI model development following completion of the master's degree
- Deep understanding of clustering and classification algorithms
- Experience working with structured transactional or behavioral data
- Proficiency with Apache Spark (including internals), Python, and Git
- Strong communication skills in English (written and verbal)
- Experience in financial services, banking, or large-scale transactional environments is a plus
English
- B2+ (Upper-Intermediate or higher)
Type of Work
- Remote
- Full-Time
Time zone
- Central European Time
United States
Germany only
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