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Amsterdam
2 weeks ago
Senior Manager, Data Science logo

Senior Manager, Data Science

Elsevier

Amsterdam
2 weeks ago
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Senior Manager, Data Science

Elsevier seeks a Senior Manager, Data Science to define AI and data science strategy across ML, NLP, search, and generative AI. The role involves leading high-performing teams, delivering production AI systems, and influencing senior stakeholders. Requires significant experience in data science, AI/ML, and people leadership.

Core AIOn-siteFull-timeDirectorMachine LearningNLP

Senior Manager, Data Science

Elsevier seeks a Senior Manager, Data Science to define AI and data science strategy across ML, NLP, search, and generative AI. The role involves leading high-performing teams, delivering production AI systems, and influencing senior stakeholders. Requires significant experience in data science, AI/ML, and people leadership.

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Core AIOn-siteFull-timeDirectorMachine Learning

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Employment Type

Full-time

Experience Level

Senior Manager

Core Qualifications

Technical (Must-have)
Machine LearningNLPInformation RetrievalStatisticsDeep LearningGenerative AILLMsRAGSemantic SearchEmbeddingsAgentic WorkflowsExperimentationData ScienceAI/MLProduction AI Systems
Soft Skills
LeadershipCommunicationStakeholder ManagementPrioritizationCoachingCollaborationScientific RigorInclusivity

Key Responsibilities

  • •Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities.
  • •Lead and develop high-performing teams by coaching talent, setting priorities, fostering scientific rigor, and building an inclusive, collaborative culture.
  • •Deliver advanced AI and knowledge-discovery systems across the full lifecycle, from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions.
  • •Drive evaluation and AI quality by establishing robust frameworks, metrics, experimentation practices, and responsible AI standards.
  • •Influence across product, technology, and business by partnering with cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact.
Data ScienceAIMachine LearningNLPGenerative AISenior ManagerOn-siteAmsterdamElsevierInformation Services
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