EdTech Jobs
Elsevier

Manager Data Science

Elsevier
๐Ÿ‡บ๐Ÿ‡ธIn-Person - 8 Locations$115Kโ€“$231K/yr1h ago
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Role Snapshot

Lead high-performing data science teams building AI and machine learning solutions that advance scientific discovery and research intelligence at Elsevier. Drive the development of intelligent systems that help millions of researchers navigate scientific knowledge and solve complex global challenges.

Key Responsibilities: Build, develop, and mentor teams of data scientists and ML engineers delivering AI-powered search, retrieval, NLP, and generative AI capabilities. Define data science strategies, translate complex scientific and business challenges into scalable solutions, and partner with Product, Engineering, and domain experts to shape product strategy.
Skills & Tools: Strong technical depth in machine learning, NLP, generative AI, and knowledge systems combined with people leadership, strategic thinking, and mentoring abilities. Experience with experimentation, model evaluation, responsible AI practices, and fostering a culture of scientific rigor and innovation.
Qualifications: Advanced degree in Computer Science, Data Science, or related field with significant experience leading data science teams and delivering enterprise-scale ML solutions. Demonstrated expertise in AI/ML development with a track record of translating technical solutions into business impact.
Location: In-Person - 8 Locations
Compensation: $115Kโ€“$231K/yr

Job Description

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That Advances Science What if the teams you lead could help accelerate scientific breakthroughs, improve healthcare outcomes, and expand human knowledge? 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 ecosystem. This is leadership with purpose. This is AI in service of science. About the team As 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 discipline. About the Role As 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 intelligence. 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 science. 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 matters. What You'll Do 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, recommendation, NLP, knowledge systems, and generative AI. Translate complex customer, scientific, 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 a culture of scientific rigor, collaboration, innovation, 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. Ensure that AI systems are trustworthy, scalable, explainable, measurable, and aligned with meaningful customer and societal outcomes. What We're Looking For Significant 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 environments. Technical expertise across machine learning, generative AI, large language models, retrieval systems, experimentation, and model evaluation. 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 systems. Experience establishing evaluation frameworks, experimentation practices, and performance metrics for AI solutions. Ability to translate ambiguous challenges into clear strategy, execution plans, and business outcomes. Exceptional communication and stakeholder-management skills with the ability to influence technical, product, and executive audiences. Experience working with large-scale structured, semi-structured, and unstructured data in production environments. A passion for advancing science, expanding access to knowledge, developing people, and applying AI to create meaningful real-world impact. Why Join Elsevier Because your leadership will matter. You will lead teams building AI systems that help researchers discover knowledge faster, assess evidence more effectively, generate new insights, and accelerate scientific progress. U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $121,200 - $201,900.If performed in New York, the base pay range is $126,900 - $211,500.If performed in New York City, the base pay range is $138,400 - $230,700.If performed in Rochester, NY, the base pay range is $115,400 - $192,300.If performed in New Jersey, the base pay range is $136,213 - $217,587. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most. We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all. With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier. Elsevier is part of RELX Group. Letโ€™s shape progress together. Join us. elsevier.com/about/careers

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