Senior Data Scientist

In 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