Manager of Data Science

Elsevier; Philadelphia (Philadelphia County); On-site; USD 180,000 - 260,000; Full time

Job summary

Elsevier is seeking a Data Science Leader to build, guide, and scale teams of data scientists, ML engineers, researchers, and domain experts focused on AI-powered scientific discovery and improved patient outcomes.

You will shape technical direction, drive experimentation, and ensure responsible AI practices while partnering with Product, Engineering, Research, UX, Analytics, and other stakeholders worldwide.

Qualifications

• Significant experience leading data science, ML, AI, NLP, or related teams.
• Proven success building and coaching high-performing teams in complex technology or product environments.
• Experience delivering AI-powered products or platforms from concept through production deployment and measurable impact.
• Exceptional communication and stakeholder-management skills with the ability to influence technical, product, and executive audiences.

Responsibilities

• Lead and develop high-performing teams of data scientists, machine learning engineers, researchers, and technical contributors.
• Define and execute data science strategies that advance scientific discovery, research intelligence, and knowledge-access products.
• Drive the development of AI-powered capabilities across search, retrieval, NLP, knowledge systems, and generative AI.
• Translate complex customer and business challenges into scalable data science solutions and measurable outcomes.
• Establish high standards for experimentation, evaluation, model quality, reliability, and responsible AI practices.
• Partner closely with Product, Engineering, Research, UX, Analytics, and domain experts to shape product strategy and delivery.
• Mentor and coach team members while fostering rigor, collaboration, and continuous learning.
• Guide the adoption of emerging AI technologies, including LLMs, retrieval-augmented generation, semantic search, and knowledge-based systems.
• Influence senior stakeholders and contribute to long-term AI, technology, and product strategy across the organization.

Skills

Team leadership

Data science leadership

AI/ML expertise

Stakeholder communication

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

e.
About the t

eamAs 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

ne.
About the

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

ors.
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
• ning.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.
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