Senior GenAI/NLP Data Scientist - Lead Projects (Flexible)

Elsevier

Amsterdam

Sur place

EUR 54 000 - 90 000

Plein temps

14 jours+

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Résumé du poste

Elsevier is seeking a Senior Data Scientist to join the Data Science Life Sciences team. You will develop and deploy GenAI, NLP and ML solutions, building production-ready Python code and collaborating with biology and chemistry experts to validate output.

Responsibilities include data collection, model development, multilingual data processing, RAG pipeline optimization, testing and deployment. You will mentor juniors and lead small projects while staying current with AI advances.

Qualifications

  • Master’s or Ph.D. in Computer Science, Data Science, AI, or related field.
  • 5+ years of applied experience in data science focusing on Generative AI, NLP, and ML.
  • Proficiency in Python for data analysis, model development and deployment.
  • Strong experience with transformer models.
  • Experience with Generative AI technologies, LLMs via API, evaluation tools, and prompt engineering.
  • Knowledge of RAG pipelines and practical implementation.
  • Experience building Agentic RAG systems.
  • Experience with LangChain or similar tools.
  • Familiarity with cloud platforms for production pipelines (e.g., AWS, Azure).
  • Proficiency with data visualization and version control tools (GitHub/GitLab).

Responsabilités

  • Data collection, analysis, model development, and quality assessment for stakeholders.
  • Create production-ready Python packages for data pipelines and model inference with software engineers.
  • Optimize and customize RAG pipelines for multilingual content ingestion and retrieval.
  • Ingest, preprocess, and transform large multilingual datasets for high-quality inputs.
  • Build AI agentic models integrated with RAG pipelines.
  • Rigorous testing and evaluation to ensure performance and reliability.
  • Integrate data science components and perform end-to-end quality checks.
  • Maintain robustness against model drift and ensure output quality.
  • Establish reporting for pipeline performance and automate retraining strategies.
  • Collaborate with cross-functional teams to integrate AI into products and services.
  • Lead and manage projects, mentor junior data scientists, and share knowledge.

Connaissances

GenAI
NLP
ML
Python
Data analysis
Multilingual NLP

Formation

Master's or Ph.D. in Computer Science/Data Science/AI

Outils

Python
OpenSearch
Databricks
LangChain or similar

Description du poste

Elsevier is seeking a Senior Data Scientist to join the Data Science Life Sciences team. You will develop and deploy GenAI, NLP and ML solutions, building production-ready Python code and collaborating with biology and chemistry experts to validate output.

Responsibilities include data collection, model development, multilingual data processing, RAG pipeline optimization, testing and deployment. You will mentor juniors and lead small projects while staying current with AI advances.

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