Data Scientist (NLP, Generative AI)

TL;DR

Data Scientist (NLP, Generative AI): Design and build machine learning, NLP, and generative AI solutions for scientific discovery, knowledge extraction, decision support, and intelligent content understanding with an accent on large-scale heterogeneous scientific data and production-ready model integration. Focus on solving complex information retrieval, entity extraction, ranking/summarization, and evidence-grounded generation challenges while delivering reliable systems through evaluation, fine-tuning, and continuous monitoring.

Company

hirify.global builds information and analytics products for researchers and healthcare professionals.

What you will do

• Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding.
• Work with large-scale heterogeneous data (scientific publications, datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content across disciplines).
• Apply appropriate techniques (classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI) to solve complex problems.
• Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation/ranking, summarization, question answering, and evidence-grounded generation.
• Build, evaluate, fine-tune, prompt, and integrate models into robust production systems; improve quality, relevance, reliability, and user value.
• Write clean, tested, production-quality Python and contribute reusable data science components and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement.

Requirements

• Experience in data science, machine learning/AI, NLP, statistics, applied mathematics, computer science, or a related quantitative field.
• Experience with frontier LLMs (e.g., OpenAI GPTs, Anthropic Claude, Google Gemini), including fine-tuning LLMs and/or SLMs.
• Strong Python skills with a habit of writing clean, maintainable, well-tested code.
• Solid grasp of ML fundamentals (supervised/unsupervised learning, feature engineering, evaluation, model selection, and performance measurement).
• Experience with structured, semi-structured, or unstructured large-scale text/content datasets.
• Familiarity with common tools such as Pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, and Matplotlib.

Culture & Benefits

• Healthy work/life balance with flexible working hours.
• Wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
• Country-specific benefits based on location.

Hiring process

• Interviews and evaluation of technical fit for building production-ready ML/NLP/GenAI systems.
• Discussion of collaboration approach and ability to translate ambiguous requirements into measurable outcomes.

Location: NLD Amsterdam (Radarweg)

Salary: €44,500 - €74,300 (base pay range)