Elsevier

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Total Offices: 3
Year Founded: 1880
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Elsevier Benefits Overview

Compensation + BenefitsWork-Life Balance + WellbeingCareer Growth + DevelopmentCompany Culture

Compensation + Benefits

Offers 401(K)

Offers life insurance

Provides a pension

Offers occupational accident insurance

Offers disability insurance

Offers charitable contribution matching

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Provides adoption assistance

Offers generous parental leave

Provides family medical leave

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Offers employee discounts

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers paid volunteer time

Provides paid sick days

Provides military leave

Career Growth + Development

Provides customized development tracks

Offers apprenticeship programs

Provides tuition assistance

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Recently posted jobs

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Elsevier

Sr. Manager Product Marketing

4 Days AgoSaved
In-Office or Remote
4 Locations
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
Lead go-to-market strategy, positioning, and messaging for Elsevier's Academic Leaders and Funders portfolio. Translate technical AI and data capabilities into compelling narratives, drive coordinated product launches, enable sales with materials and training, and perform competitive and market analysis to increase adoption, deal velocity, and revenue.
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Elsevier

Data Scientist

4 Days AgoSaved
In-Office or Remote
7 Locations
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
Design, develop, and deploy ML, NLP, and generative-AI solutions (including LLMs and RAG) to improve search, retrieval, recommendation, and question-answering across scientific publications and datasets. Build scalable pipelines, evaluation frameworks, and production-quality Python code while collaborating with engineering, product, UX, and domain experts to measure and improve model reliability, relevance, and user impact.
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Elsevier

Senior Data Scientist

4 Days AgoSaved
In-Office or Remote
7 Locations
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, and generative AI) to support scientific discovery. Develop RAG systems, semantic search, summarization, QA, ranking, recommendation, and evaluation frameworks. Integrate knowledge graphs and domain metadata, partner with engineering and product teams, lead technical decisions, and mentor data scientists.
see all jobs at Elsevier