Data Scientist III

About the role

Elsevier is looking for a Data Scientist III in its Mexico City office (Reforma) to design and build machine learning, NLP and generative AI solutions that support scientific discovery, knowledge extraction, decision support and intelligent content understanding. The role works with large-scale scientific content and data, collaborating with cross-functional partners to turn ambiguous challenges into measurable outcomes.

Key responsibilities

• Build ML, NLP and generative AI systems for scientific discovery, knowledge extraction, decision support and content understanding.
• Work with large-scale, heterogeneous data such as scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata and content from all scientific disciplines.
• Apply techniques such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval and generative AI.
• 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 production systems, and support deployment, monitoring, drift detection, automated retraining and optimization.
• Write clean, tested Python code and reusable data science components and scalable pipelines.
• Collaborate with engineering, product, UX, analytics, research and domain experts and explain technical concepts clearly.

Required profile

• Experience in data science, machine learning, AI, NLP, statistics, applied mathematics or computer science.
• Experience with frontier LLMs such as GPTs, Claude and Gemini, including fine-tuning LLMs and/or SLMs.
• Strong Python skills and a habit of writing clean, maintainable, well-tested code.
• Solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation and selection.
• Experience with structured, semi-structured and unstructured data, especially large-scale text or content datasets.
• Ability to turn complex requirements into measurable, data-driven solutions, with clear communication and collaboration skills.

Required skills

• Python
• Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow or Matplotlib
• Machine learning and NLP

What we offer

• Hybrid work in Mexico City with flexible hours and regular team meetings.
• Private medical, dental and vision plan, savings fund with company matching, life insurance, grocery voucher and vacation bonus.
• Employee Assistance Programme, learning and development resources, awards and time off for charity.
• Pay range of $95,300 - $158,800, with geographic differentials possible.