{"id":2176640,"url":"https://alion.io/job/elsevier-data-scientist","title":"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":null,"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":86600,"max":144400,"currency":"USD","period":"year","gross":null,"usd_annual":144400},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"Hugging Face","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-11T19:14:46Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Data Scientist\nBuild AI That Accelerates Scientific Discovery\nDo you want your work to help researchers solve humanity’s biggest challenges?\nAt Elsevier, data science is not about building models for the sake of building models. It is about advancing scientific discovery, improving healthcare outcomes, and helping researchers, clinicians, educators, and institutions unlock knowledge that can improve lives around the world.\nEvery day, millions of scientists rely on our products to discover evidence, connect ideas, validate findings, and advance research. As a Data Scientist, your work will directly contribute to the tools and technologies that help accelerate human progress.\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.\nAbout the Role\nAs a Data Scientist at Elsevier, you will design, develop, and deploy AI and machine learning solutions that power knowledge discovery across the global research ecosystem. You will work with one of the world's richest collections of scientific information, including publications, citations, research datasets, metadata, ontologies, knowledge graphs, and multidisciplinary content spanning every scientific field.\nThis role combines cutting-edge AI with meaningful impact. You will help build intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable.\nWhat You'll Do\nDesign and deploy machine learning, NLP, and generative AI solutions that help researchers discover, understand, and apply scientific knowledge.\nBuild intelligent retrieval, search, recommendation, ranking, and question-answering systems that improve research outcomes.\nDevelop AI systems that connect information across publications, datasets, citations, knowledge graphs, and scientific ontologies.\nFine-tune, evaluate, and integrate large language models and retrieval-augmented generation (RAG) systems into production environments.\nCreate robust evaluation frameworks that measure quality, reliability, relevance, trustworthiness, and user impact.\nBuild scalable data pipelines and machine learning workflows that support experimentation, monitoring, and continuous improvement.\nApply the appropriate combination of classical machine learning, deep learning, retrieval, and generative AI techniques to solve complex scientific problems.\nCollaborate with engineering, product, UX, analytics, and domain experts to transform ambiguous challenges into practical solutions.\nContribute clean, maintainable, production-quality Python code and reusable AI components.\nContinuously improve the capabilities, performance, and real-world value of AI systems that support scientific discovery.\nWhat We're Looking For\nDegree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.\nExtensive Python programming skills and experience building production-quality data science solutions.\nExperience with machine learning fundamentals, including model development, evaluation, feature engineering, and performance optimization.\nExperience working with large-scale structured, semi-structured, or unstructured datasets.\nHands-on experience with modern AI technologies, including large language models, embeddings, retrieval systems, and generative AI.\nFamiliarity with frameworks such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, or equivalent tools.\nExperience evaluating AI outputs and improving model quality, reliability, and business impact.\nAbility to translate complex problems into measurable, data-driven solutions.\nA genuine passion for advancing science, improving access to knowledge, and using AI to create meaningful real-world impact.\nWhy Join Elsevier\nBecause your work will matter.\nYou will help build AI systems that support researchers, healthcare professionals, educators, and institutions around the world. Your contributions will help people discover critical evidence, uncover new insights, accelerate innovation, and advance scientific progress. This is an opportunity to work on some of the most challenging and meaningful AI problems anywhere-combining world-class data, cutting-edge technology, and a mission dedicated to improving lives through science and knowledge.\n\nU.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates.\n\nIf performed in Maryland, the base pay range is $90,900 - $151,700.If performed in New York, the base pay range is $95,300 - $158,900.If performed in New York City, the base pay range is $103,900 - $173,300.If performed in Rochester, NY, the base pay range is $86,600 - $144,400.If performed in New Jersey, the base pay range is $102,333 - $163,467.\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":6159,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"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":20,"band":"cold","label":"Long shot","p_open":1,"p_active":0.452,"p_room":0.45,"age_days":31,"expected_fill_days":20,"reasons":["conf:6","win:tail","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":144400,"is_top_pay":false},"html_url":"https://alion.io/job/elsevier-data-scientist","json_url":"https://alion.io/job/elsevier-data-scientist.json","meta":{"generated_at":"2026-10-11T21:59:41Z","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_verified","counted_by":"address","units_charged":1,"used_today":11325,"day_limit":null,"remaining_today":null,"minute_limit":300,"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-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-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-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-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Felsevier-data-scientist"}]}