{"id":2176152,"url":"https://alion.io/job/elsevier-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3090,"name":"Elsevier","domain":"elsevier.com","url":"https://alion.io/company/elsevier","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Philadelphia, United States","New York, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":95300,"max":158800,"currency":"USD","period":"year","gross":null,"usd_annual":158800},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Hugging Face","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-10T21:57:34Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Senior Data Scientist\nAI for Science, Research Intelligence & Knowledge Discovery\nBuild AI That Helps Advance Human Knowledge\nWhat if your next AI model could help accelerate a medical breakthrough, uncover a critical scientific insight, or help researchers solve some of humanity's greatest challenges?\nAt Elsevier, data science is about far more than algorithms and model performance. It is about applying advanced AI to help researchers, clinicians, educators, and institutions discover knowledge, assess evidence, generate insights, and advance science for the benefit of society.\nEvery day, millions of researchers rely on our products to navigate an ever-growing universe of scientific information. As a Senior Data Scientist, you will help build the intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable.\nThis is AI with purpose. This is technology in service of scientific progress.\nAbout the Role\nAs a Senior Data Scientist, you will design, build, evaluate, and scale advanced AI solutions that power scientific discovery, research intelligence, knowledge enrichment, and decision support across the global research ecosystem.\nYou will work on some of the most challenging problems in applied AI, combining machine learning, natural language processing, large language models, retrieval systems, knowledge graphs, and generative AI to help researchers uncover insights faster and make better decisions.\nSuccess in this role requires deep technical expertise, sound judgment, scientific rigor, and the ability to transform complex problems into trusted, production-ready AI solutions that create measurable impact.\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\nWhat You'll Do\nDesign, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge exploration.\nBuild and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experiences.\nDevelop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content.\nCreate intelligent capabilities for search, ranking, recommendation, entity extraction, classification, enrichment, and decision support.\nDesign evaluation frameworks that measure quality, relevance, reliability, grounding, trustworthiness, and user impact.\nIntegrate knowledge graphs, ontologies, taxonomies, citations, metadata, and scientific domain knowledge into AI workflows.\nPartner with engineering teams to produce, monitor, optimize, and continuously improve AI systems at scale.\nLead technical discovery, influence solution architecture, and guide methodological decisions across initiatives.\nMentor fellow data scientists and contribute to a culture of technical excellence, experimentation, and responsible AI.\nCollaborate closely with Product, Engineering, Research, Editorial, UX, and domain experts to solve complex scientific and business challenges.\nWhat We're Looking For\nSignificant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative discipline.\nAdvanced expertise in developing and deploying machine learning, NLP, retrieval, and generative AI solutions in production environments.\nExperience working with modern LLMs, prompt engineering, model evaluation, retrieval systems, and AI-powered workflows.\nExtensive Python programming skills and a track record of building maintainable, production-quality software.\nExperience designing and implementing RAG systems, semantic search, vector retrieval, embeddings, ranking, or recommendation solutions.\nDeep understanding of machine learning fundamentals, experimentation, model evaluation, statistical analysis, and performance measurement.\nExperience with modern AI and ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or equivalent technologies.\nExperience working with large-scale structured, semi-structured, and unstructured datasets, particularly text-rich or content-heavy data.\nA passion for advancing science, expanding access to knowledge, and building AI systems that create meaningful real-world impact.\nWhy Join Elsevier\nBecause your work will matter.\nYou will help build AI systems that enable researchers to discover knowledge faster, uncover hidden connections, assess evidence more effectively, and accelerate scientific progress around the world.\nYou will have the opportunity to:\nSolve some of the most challenging AI problems in science and knowledge discovery.\nWork with one of the world's richest collections of scientific, biomedical, and scholarly data.\nBuild next-generation AI systems using LLMs, retrieval, knowledge graphs, semantic search, and generative AI.\nCreate trusted technologies that support researchers, clinicians, educators, institutions, and innovators worldwide.\nInfluence how AI is designed, evaluated, governed, and trusted in high-impact scientific environments.\nCollaborate with exceptional colleagues across data science, engineering, product, research, editorial, and domain expertise.\nMentor others while helping shape the future of AI-powered scientific discovery.\nContribute directly to a mission dedicated to advancing science, improving health outcomes, and expanding human knowledge.\nAt Elsevier, AI is not just about what technology can do. It is about what humanity can achieve when knowledge becomes more accessible, discoverable, and actionable.\nThat is the impact of your work.\n\nU.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.\n\nIf performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New York, the base pay range is $104,800 - $174,700.If performed in New York City, the base pay range is $114,300 - $190,500.If performed in Rochester, NY, the base pay range is $95,300 - $158,800.If performed in New Jersey, the base pay range is $112,574 - $179,826.\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. Clickhereto access benefits specific to your location.\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.\nCriminals 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 scamshere.\nPlease read our Candidate Privacy Policy.\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.\nUSA Job Seekers:\nEEO Know Your Rights.","description_format":"text","description_chars":7569,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-09T14:09:40Z"}],"visa":[],"liveness":{"score":69,"band":"ok","label":"Likely open","p_open":1,"p_active":0.762,"p_room":0.9,"age_days":15,"expected_fill_days":29,"reasons":["conf:6","win:mid","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":158800,"is_top_pay":true},"html_url":"https://alion.io/job/elsevier-senior-data-scientist","json_url":"https://alion.io/job/elsevier-senior-data-scientist.json","meta":{"generated_at":"2026-10-11T01:46:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2631,"day_limit":5000,"remaining_today":2369,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3090},"rest":"https://alion.io/mcp/rest/get_company?id=3090"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Felsevier-senior-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Felsevier-senior-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Felsevier-senior-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/elsevier-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Felsevier-senior-data-scientist"}]}