Senior Data Scientist (Science)

TL;DR

Senior Data Scientist (Science): Building and deploying advanced machine learning models to support open-access scientific discovery with an accent on ontology development, trend analysis, and editorial performance optimization. Focus on designing end-to-end data pipelines, scaling production-ready ML solutions, and ensuring system reliability within an in-office environment.

Location: Must be based in Kraków (Onsite role)

Company

hirify.global is a pioneer in scholarly, open-access publishing, dedicated to fostering scientific exchange and developing digital platforms that empower the global academic community.

What you will do

• Design, develop, and validate statistical and machine learning models for trend detection and performance analysis.
• Build and maintain robust ML pipelines ensuring scalability in production environments.
• Lead data preprocessing, feature engineering, and validation using editorial system data.
• Contribute to ontology refinement and automated paper-tagging system development.
• Collaborate with Data Engineering to integrate models into platforms, supporting APIs and monitoring.
• Develop analytical tools to identify emerging research topics and publication dynamics.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related STEM field.
• Strong expertise in data science, statistical analysis, and analytical problem-solving.
• Advanced programming proficiency in Python and SQL.
• Proven experience in developing, evaluating, and deploying machine learning models.
• Strong skills in data visualization techniques to communicate insights.
• Excellent written and spoken English.

Nice to have

• Certifications in Python, SQL, Machine Learning, or Data Analytics.

Culture & Benefits

• Collaborative and innovative team environment at the forefront of data technology.
• Private medical care (fully covered).
• Partial coverage for MultiSport card.
• Opportunities for professional development and impactful project involvement.
• Team building activities and social events.