{"schemaVersion":"jobsearcher.job.v1","id":"df3e0407901e74dcefe378df","url":"https://jobsearcher.com/jobs/df3e0407901e74dcefe378df","canonicalUrl":"https://jobsearcher.com/jobs/df3e0407901e74dcefe378df","title":"Manager Data Science","description":"AI for Science, Research Intelligence & Knowledge Discovery\n\nLead the Teams Building AI That Advances Science\n\nWhat if the teams you lead could help accelerate scientific breakthroughs, improve healthcare outcomes, and expand human knowledge?\n\nAt 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.\n\nEvery 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.\n\nThis is leadership with purpose. This is AI in service of science.\n\nAbout the team\nAs 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.\n\nAbout the Role\nAs 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.\n\nYou 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.\n\nSuccess 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.\n\nWhat You'll Do\n\nLead and develop high‑performing teams of data scientists, machine learning engineers, researchers, and technical contributors.\n\nDefine and execute data science strategies that advance scientific discovery, research intelligence, and knowledge‑access products.\n\nDrive the development of AI‑powered capabilities across search, retrieval, recommendation, NLP, knowledge systems, and generative AI.\n\nTranslate complex customer, scientific, and business challenges into scalable data science solutions and measurable outcomes.\n\nEstablish high standards for experimentation, evaluation, model quality, reliability, and responsible AI practices.\n\nPartner closely with Product, Engineering, Research, UX, Analytics, and domain experts to shape product strategy and delivery.\n\nMentor and coach team members while fostering a culture of scientific rigor, collaboration, innovation, and continuous learning.\n\nGuide the adoption of emerging AI technologies, including LLMs, retrieval‑augmented generation, semantic search, and knowledge‑based systems.\n\nInfluence senior stakeholders and contribute to long‑term AI, technology, and product strategy across the organization.\n\nEnsure that AI systems are trustworthy, scalable, explainable, measurable, and aligned with meaningful customer and societal outcomes.\n\nWhat We're Looking For\n\nSignificant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams.\n\nProven success building, coaching, and developing high‑performing teams in complex technology or product environments.\n\nTechnical expertise across machine learning, generative AI, large language models, retrieval systems, experimentation, and model evaluation.\n\nExperience delivering AI‑powered products or platforms from concept through production deployment and measurable impact.\n\nDeep understanding of modern AI approaches, including LLMs, RAG architectures, semantic search, embeddings, and knowledge systems.\n\nExperience establishing evaluation frameworks, experimentation practices, and performance metrics for AI solutions.\n\nAbility to translate ambiguous challenges into clear strategy, execution plans, and business outcomes.\n\nExceptional communication and stakeholder‑management skills with the ability to influence technical, product, and executive audiences.\n\nExperience working with large‑scale structured, semi‑structured, and unstructured data in production environments.\n\nA passion for advancing science, expanding access to knowledge, developing people, and applying AI to create meaningful real‑world impact.\n\nWhy Join Elsevier\nBecause your leadership will matter.\n\nYou will lead teams building AI systems that help researchers discover knowledge faster, assess evidence more effectively, generate new insights, and accelerate scientific progress.\n\nCompensation & Benefits\nU.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.\n\nIf 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.\n\nThis job is eligible for an annual incentive bonus.\n\nWe know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here (https://www.relx.com/careers/join-us/benefits) to access benefits specific to your location.\n\nAccommodations and Accessibility\nWe 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.\n\nEEO Statement\nWe 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.\n\n#J-18808-Ljbffr","company":"RELX","rawCompany":"relx","city":"Dover","state":"DE","isRemote":false,"isActive":false,"createdAt":"2026-07-17T03:29:25.528Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"11-9121.00","title":"Natural Sciences Managers","slug":"natural-sciences-managers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager Data Science","description":"AI for Science, Research Intelligence & Knowledge Discovery\n\nLead the Teams Building AI That Advances Science\n\nWhat if the teams you lead could help accelerate scientific breakthroughs, improve healthcare outcomes, and expand human knowledge?\n\nAt 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.\n\nEvery 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.\n\nThis is leadership with purpose. This is AI in service of science.\n\nAbout the team\nAs 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.\n\nAbout the Role\nAs 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.\n\nYou 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.\n\nSuccess 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.\n\nWhat You'll Do\n\nLead and develop high‑performing teams of data scientists, machine learning engineers, researchers, and technical contributors.\n\nDefine and execute data science strategies that advance scientific discovery, research intelligence, and knowledge‑access products.\n\nDrive the development of AI‑powered capabilities across search, retrieval, recommendation, NLP, knowledge systems, and generative AI.\n\nTranslate complex customer, scientific, and business challenges into scalable data science solutions and measurable outcomes.\n\nEstablish high standards for experimentation, evaluation, model quality, reliability, and responsible AI practices.\n\nPartner closely with Product, Engineering, Research, UX, Analytics, and domain experts to shape product strategy and delivery.\n\nMentor and coach team members while fostering a culture of scientific rigor, collaboration, innovation, and continuous learning.\n\nGuide the adoption of emerging AI technologies, including LLMs, retrieval‑augmented generation, semantic search, and knowledge‑based systems.\n\nInfluence senior stakeholders and contribute to long‑term AI, technology, and product strategy across the organization.\n\nEnsure that AI systems are trustworthy, scalable, explainable, measurable, and aligned with meaningful customer and societal outcomes.\n\nWhat We're Looking For\n\nSignificant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams.\n\nProven success building, coaching, and developing high‑performing teams in complex technology or product environments.\n\nTechnical expertise across machine learning, generative AI, large language models, retrieval systems, experimentation, and model evaluation.\n\nExperience delivering AI‑powered products or platforms from concept through production deployment and measurable impact.\n\nDeep understanding of modern AI approaches, including LLMs, RAG architectures, semantic search, embeddings, and knowledge systems.\n\nExperience establishing evaluation frameworks, experimentation practices, and performance metrics for AI solutions.\n\nAbility to translate ambiguous challenges into clear strategy, execution plans, and business outcomes.\n\nExceptional communication and stakeholder‑management skills with the ability to influence technical, product, and executive audiences.\n\nExperience working with large‑scale structured, semi‑structured, and unstructured data in production environments.\n\nA passion for advancing science, expanding access to knowledge, developing people, and applying AI to create meaningful real‑world impact.\n\nWhy Join Elsevier\nBecause your leadership will matter.\n\nYou will lead teams building AI systems that help researchers discover knowledge faster, assess evidence more effectively, generate new insights, and accelerate scientific progress.\n\nCompensation & Benefits\nU.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.\n\nIf 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.\n\nThis job is eligible for an annual incentive bonus.\n\nWe know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here (https://www.relx.com/careers/join-us/benefits) to access benefits specific to your location.\n\nAccommodations and Accessibility\nWe 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.\n\nEEO Statement\nWe 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.\n\n#J-18808-Ljbffr","datePosted":"2026-07-17T03:29:25.528Z","dateModified":"2026-07-17T03:29:25.528Z","hiringOrganization":{"@type":"Organization","name":"RELX","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dover","addressRegion":"DE","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"df3e0407901e74dcefe378df"},"url":"https://jobsearcher.com/jobs/df3e0407901e74dcefe378df"}}