Elsevier is hiring a Data Scientist to join our Data Operations team. In this role, you will be pivotal in developing and deploying cutting-edge Generative AI models and solutions. You will build, test, and maintain our Generative AI, Retrieval Augmented Generation (RAG), and Natural Language Processing (NLP) solutions, ensuring their performance and ethical use.
What You'll Do
- Collect data, perform analysis, develop models, define quality metrics, and conduct assessments, presenting regularly to stakeholders.
- Create production-ready Python packages for data science pipeline components and coordinate their deployment.
- Design, develop, and deploy Generative AI models and solutions that meet specific business needs.
- Optimize and customize Retrieval Augmented Generation (RAG) pipelines for project requirements.
- Perform large-scale data ingestion, preprocessing, and transformation of multilingual content.
- Build Agentic RAG systems.
- Utilize AI agent management tools like LangChain, AutoGen, Haystack, or MCP.
- Fine-tune large language models (LLMs) and transformer models to enhance accuracy.
- 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 pipeline robustness against model drift and ensure consistent output quality.
- Establish reporting processes for pipeline performance and develop automatic re-training strategies.
- Work collaboratively with cross-functional teams to integrate AI solutions into existing products.
- Mentor junior data scientists and contribute to team knowledge-sharing.
- Stay current with the latest advancements in AI, machine learning, and NLP.
What We're Looking For
- Bachelor or Master’s in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 3+ years of applied experience in data science, with a focus on Generative AI, NLP, and machine learning.
- Proficiency in Python for data analysis, model development, and deployment.
- Strong experience with transformer models and fine-tuning techniques for LLMs.
- Proficiency in Generative AI technologies, including utilizing LLMs via API access, evaluation tools, and prompt engineering.
- Knowledge and practical implementation of various RAG pipelines.
- Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning.
- Familiarity with traditional machine learning algorithms for model building, validation, and testing.
- Understanding of AI ethics, guardrail implementation, and evaluation metrics.
- Familiarity with cloud platforms for model deployment and production-ready pipelines.
- Proficiency in data visualization tools and techniques.
- Experience with version control systems, Jira, and working in an Agile environment.
- Proficient in using *nix systems, open-source software, Jupyter Notebook, and cloud computing.
- Excellent problem-solving, analytical skills, and strong attention to detail.
- Strong communication skills and ability to work effectively in a team.
Nice to Have
- Experience with Java.
- Experience with end-to-end model deployment, including leveraging AI agents, Model Context Protocol (MCP), and cloud platforms like AWS (including AWS Bedrock) or Azure.
Technical Stack
- Languages: Python, Java
- AI/ML: Generative AI, LLMs, Transformer models, NLP, Machine Learning, RAG
- Frameworks/Tools: LangChain, AutoGen, Haystack, MCP
- Cloud/Platforms: AWS, AWS Bedrock, Azure
- Development: GitLab, GitHub, Jira, *nix systems, Jupyter Notebook
Team & Environment
The Data Operations team leverages Generative AI, Machine Learning, Natural Language Processing, and statistical techniques to develop applications for the content processing and health sciences domain.
Benefits & Compensation
- Flexible work environment (remote, hybrid, or on-site).
- Shared parental leave.
- Study assistance.
- Sabbaticals.
- Access to wellness programs.
- 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.
Work Mode
This role is a hybrid position.
We 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.
