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ElsevierEL

data Scientist

Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. It has evolved from a traditional publisher into a company that provides digital solutions and tools for data management, instruction, research analytics, and assessment.

Elsevier

Employee count: 5000+

India only

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We are seeking a Data Scientist to join our Data Operations team. The ideal candidate will have expertise in Generative AI, Machine Learning, and NLP, with a focus on customizing and optimizing existing RAG pipelines. This is a remote work opportunity, and we value diversity and inclusivity.

Requirements

  • Collect data, perform data analysis, develop models, define quality metrics, and conduct quality assessments of models, along with regular presentations to stakeholders.
  • Create production-ready Python packages for each component of data science pipelines and coordinate their deployment with the technology team.
  • Design, develop, and deploy Generative AI models and solutions that meet specific business needs.
  • Expertise in Retrieval Augmented Generation (RAG) optimization and customization of existing RAG pipelines to meet specific project needs.
  • Proficiency in large-scale data ingestion, preprocessing, and transformation of multilingual content to ensure high-quality inputs for downstream models.
  • Experience building Agentic RAG systems is strong requirements.
  • Experience in LangChain, AutoGen, Haystack, MCP or similar AI agent management tools.
  • Fine-tune large language models (LLMs) and transformer models to enhance accuracy and relevance.
  • Implement guardrails and evaluation mechanisms to ensure responsible and ethical AI usage.
  • Conduct rigorous testing and evaluation of AI models to ensure high performance and reliability.
  • Integrate data science components and ensure end-to-end quality assessment.
  • Maintain the robustness of data science pipelines against model drift and ensure consistent output quality.
  • Establish a reporting process for pipeline performance and develop automatic re-training strategies for existing pipelines.
  • Work collaboratively with cross-functional teams to integrate AI solutions into existing products and services.
  • Mentor junior data scientists and contribute to the knowledge-sharing culture within the team.
  • Stay up-to-date with the latest advancements in AI, machine learning, and NLP technologies.

Benefits

  • Health insurance options for you and your family
  • Group life and accident insurance for financial security
  • Employee assistance programs and mental health resources
  • Flexible working arrangements for work-life balance
  • Paid time-off options, including sick leave, vacation, and public holidays
  • Subsidized meals and free transportation in select locations

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

India +/- 0 hours

About Elsevier

Learn more about Elsevier and their company culture.

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At Elsevier, our core mission is to help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. This purpose has been the driving force behind our evolution from a traditional publisher, with a rich history spanning over 140 years, into a global leader in information and analytics. We are committed to facilitating insights and critical decision-making for our customers across the global research and health ecosystems. Our culture is one that cultivates collaboration and encourages the cross-pollination of groundbreaking ideas. We strive to make complex subject matter user-friendly and to transform theoretical knowledge into actionable solutions. The support we provide to the world's most progressive thinkers and clinicians is instrumental in creating a better world and fostering a sustainable future for everyone.

Our team of over 9,700 employees, spread across 46 countries, serves customers in 180 nations worldwide. This global presence allows us to understand and address the diverse needs of academic and government institutions, research-intensive corporations, healthcare organizations, and students. We believe in empowering our people to make the right decisions and hold ourselves accountable for delivering the best outcomes, all while striving for meaningful innovation. Continuous learning is a cornerstone of our environment; we encourage curiosity to stimulate innovation for the communities we serve. The Elsevier Experience is built on three pillars: purposeful work, growing every day, and a commitment to wellness and wellbeing. We understand the critical link between work, health, and wellbeing, and our leadership and employees collaboratively foster a connected, caring, supportive, and nurturing workplace. We champion a healthy work-life balance, recognizing its importance not only for individual health and relationships but also for enhancing performance and dedication. By enabling our people to thrive, we cultivate a work environment where they are dedicated, mindful, and empowered to contribute to our overarching mission of advancing knowledge and improving lives.

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