Senior Data Scientist

Summary

Join ELEKS Artificial Intelligence Office as a Data Scientist in Poland or Croatia and work for a Germany-based global supplier of pharmaceutical and laboratory equipment. You will create innovative AI models and algorithms for smart user guidance systems, focusing on operational efficiency and user experience. Responsibilities include utilizing CV and NLP methods to analyze visual and textual data, building and testing proof-of-concept models, and collaborating with a cross-functional team. You will also provide input on interface and workflow design and maintain clear documentation of methodologies. The role requires 5+ years of experience in Data Science, strong expertise in both Computer Vision and Natural Language Processing, and proficiency in Python. Advanced English communication skills are essential.

Requirements

• 5+ years of experience in the Data Science field
• Strong expertise in both Computer Vision and Natural Language Processing
• Hands-on experience with one or more of the following CV tasks: activity detection (HAR), pose estimation/skeleton extraction, hand gesture detection, object localization/re-identification
• Experience with one or more of the following NLP tasks: dictionary learning, information retrieval, LLMs
• Proficiency in Python for data science and machine learning tasks
• Advanced English communication skills (spoken and written)
• Willingness to travel for occasional business trips

Responsibilities

• Create innovative AI models and algorithms to support smart user guidance systems, focusing on enhancing operational efficiency and user experience
• Utilize a combination of CV and NLP methods to analyze visual and textual data, enabling intelligent system responses and feedback
• Build and test proof-of-concept models to demonstrate feasibility, performance, and scalability of AI-driven features
• Work closely with a cross-functional team to align AI development with project goals and system architecture
• Provide input on interface and workflow design to ensure seamless integration of AI components into the user guidance system
• Collect, preprocess, and analyze data to train models, ensuring high accuracy and reliability in real-time environments
• Maintain clear documentation of methodologies, experiments, and results; contribute to team knowledge sharing and best practices
• Keep up-to-date with advancements in AI, CV, and NLP to continuously improve solutions and recommend new approaches

Preferred Qualifications

Familiarity with contrastive loss, CLIP, and temporal models