Data Scientist III
Role overview
You will design and deliver machine learning and AI systems that help unlock insights from complex scientific data and content. Working with diverse datasets and modern AI techniques, you will create solutions that enable faster discovery, better decision-making, and meaningful impact across research and innovation.
Responsibilities
- check_circle Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, and intelligent content understanding
- check_circle Work with large-scale datasets including scientific publications, research data, knowledge graphs, and metadata
- check_circle Apply a range of approaches from classical ML methods to deep learning, embeddings, and LLM-based solutions
- check_circle Develop capabilities such as semantic search, information retrieval, entity extraction, classification, and summarization
- check_circle Build, evaluate, and improve models that support decision-making and accelerate research outcomes
- check_circle Train, fine-tune, prompt, and integrate models into production-ready systems
- check_circle Build and maintain scalable data pipelines for experimentation, inference, and monitoring
- check_circle Collaborate with cross-functional teams to translate complex challenges into robust technical solutions
Basic qualifications
- Background in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related field
- Strong Python skills with a focus on clean, maintainable, well-tested code
- Solid understanding of machine learning fundamentals, including model evaluation and performance measurement
- Experience working with structured, semi-structured, or unstructured data, especially large-scale text datasets
- Familiarity with tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib
- Ability to translate complex problems into practical, data-driven solutions
- Strong analytical thinking and problem-solving skills with attention to quality
- Clear communication skills and a collaborative approach to working with diverse stakeholders
About the company
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
Primary Location Base Pay Range: NLD Amsterdam (Radarweg) €49,000 - €81,700. This role is covered by the Collective Labor Agreement Publishing Industry.
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