Data Scientist

Are you passionate about turning complex data into intelligent, production-ready solutions while supporting the future of open-access science? We are looking for a Data Scientist to help design, develop, and deploy advanced machine learning solutions that power intelligent, data-driven products. This role focuses on NLP, recommender systems, and agentic LLM workflows, turning complex business challenges into scalable and impactful analytical solutions.

This is an opportunity to work at the forefront of machine learning and AI, contributing to innovative systems that leverage state-of-the-art research in practical applications.

This is a fully 100% on-site position from the Kraków office.

Quick Facts

• Focus: NLP, recommender systems, and agentic LLM workflows
• Work arrangement: fully on-site from the Kraków office

Core Responsibilities

• Design, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM-based solutions.
• Translate business problems into data-driven approaches and scalable analytical solutions.
• Perform data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling.
• Develop, optimize, and benchmark models using appropriate metrics and validation strategies.
• Build and experiment with LLM-powered systems, including agentic workflows and RAG.
• Investigate, reproduce, and compare research prototypes and state-of-the-art methods.
• Collaborate with engineering teams to support the integration of models into production.
• Monitor and analyze model performance and iterate to improve accuracy and robustness.

Additional Responsibilities

• Supervise Master’s/Ph.D. students when there are trainees in the team.
• Represent the organization by attending conferences and writing scientific articles.

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 2–5 years of experience as a Data Scientist.
• 2–5 years of experience in Python, including complex applications, machine learning, and LLMs.
• Strong background in data science, statistics, and analytical problem-solving.
• Intermediate proficiency in FastAPI, Celery, and Keycloak.
• Intermediate proficiency in PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
• Proficiency in natural language processing, including tokenization and named entity recognition.
• In-depth understanding of artificial intelligence principles.
• Strong working knowledge of Microsoft O365 tools.
• Excellent written and spoken English.
• Excellent communication skills, capable of conveying complex technical concepts to non-technical stakeholders.
• Ability to work effectively both independently and as part of a team.

Nice to Have

• Ph.D. in Computer Science or a related field.
• Leadership skills with the ability to mentor and guide junior engineers and interns.

Benefits

• Opportunity to take part in impactful projects.
• Collaborative environment that values creativity and diversity.
• Private medical care, fully covered.
• MultiSport card, partially covered.
• Team-building activities.

Application Materials

• Resume in English, including personal information and past and current education.
• Reference letters and certificates, if available.