Manager of Data Science

Elsevier; Philadelphia (Philadelphia County); On-site; USD 190,000 - 230,000; Full time

Job summary

Elsevier in Philadelphia seeks a Manager Data Science to lead teams building AI that advances science and improves patient outcomes. You will shape strategy, mentor data scientists, and collaborate with product, engineering, and research to translate complex challenges into scalable solutions.

This role requires deep expertise in ML, NLP, information retrieval, and generative AI, with a track record of delivering AI-powered products from concept to production and measurable impact.

Qualifications

• Significant experience leading data science, ML, AI, NLP, information retrieval, or related technical teams.

Responsibilities

• Lead and develop high-performing data science teams.
• Define and execute data science strategies advancing discovery and knowledge access.
• Drive AI capabilities across search, retrieval, knowledge systems, and generative AI.
• Translate complex challenges into scalable data science solutions with measurable outcomes.
• Mentor team members and promote rigor, collaboration, and continuous learning.

Skills

Data science leadership

Machine learning

Artificial intelligence

NLP

Information retrieval

Job description

Manager Data Science - Lead the Teams Building AI That Advances Science and improve patient outcomes.

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians, educators, and institutions to discover evidence, connect ideas, uncover insights, and solve some of the world's most important challenges

Every day, millions of researchers depend on our products to navigate an ever-growing universe of scientific knowledge. As a Data Science Leader, your work will directly influence how knowledge is discovered, understood, trusted, and applied across the global research ecosyste m.This is leadership with purpose. This is AI in service of scienc

About the teamAs part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discipli

RoleAs a Data Science Leader, you will build, develop, and inspire high-performing teams responsible for delivering advanced AI, machine learning, search, retrieval, NLP, and generative AI solutions that power scientific discovery and research intellige nce.You will provide strategic direction, elevate technical excellence, and help shape the future of AI-enabled products used by researchers and healthcare professionals worldwide. Working at the intersection of cutting-edge technology and meaningful impact, you will guide teams solving some of the most complex and intellectually challenging problems in scie nce.Success in this role requires a balance of technical depth, people leadership, strategic thinking, and a passion for helping others do their best work while advancing a mission that matt

ers.
What You'

• ll DoLead and develop high-performing teams of data scientists, machine learning engineers, researchers, and technical contribu tors.Define and execute data science strategies that advance scientific discovery, research intelligence, and knowledge-access prod ucts.Drive the development of AI-powered capabilities across search, retrieval, recommendation, NLP, knowledge systems, and generativ e AI.Translate complex customer, scientific, and business challenges into scalable data science solutions and measurable outc omes.Establish high standards for experimentation, evaluation, model quality, reliability, and responsible AI pract ices.Partner closely with Product, Engineering, Research, UX, Analytics, and domain experts to shape product strategy and deli very.Mentor and coach team members while fostering a culture of scientific rigor, collaboration, innovation, and continuous lear nning.Guide the adoption of emerging AI technologies, including LLMs, retrieval-augmented generation, semantic search, and knowledge-based sys tems.Influence senior stakeholders and contribute to long-term AI, technology, and product strategy across the organiza tion.Ensure that AI systems are trustworthy, scalable, explainable, measurable, and aligned with meaningful customer and societal outc omes.

omes.
What We're Look

• ing ForSignificant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams.Proven success building, coaching, and developing high-performing teams in complex technology or product enviro nments.Technical expertise across machine learning, generative AI, large language models, retrieval systems, experimentation, and model eval uation.Experience delivering AI-powered products or platforms from concept through production deployment and measurable impact.Deep understanding of modern AI approaches, including LLMs, RAG architectures, semantic search, embeddings, and knowledge s ystems.Experience establishing evaluation frameworks, experimentation practices, and performance metrics for AI sol utions.Ability to translate ambiguous challenges into clear strategy, execution plans, and business ou tcomes.Exceptional communication and stakeholder-management skills with the ability to influence technical, product, and executive aud iences.Experience working with large-scale structured, semi-structured, and unstructured data in production enviro nments.A passion for advancing science, expanding access to knowledge, developing people, and applying AI to create meaningful real-world