Data Scientist III

Are you interested in working with data and analytics to solve problems?

Are you interested in bringing your GenAI, Machine Learning and NLP expertise to projects?

About Our Team

Data Science Health Content Operations team works with a focus on Machine Learning, NLP, and Statistical techniques. It helps in building state of the art applications for the health sciences domain.

About The Role

You will be responsible for building, testing, and maintaining our GenAI, RAG and NLP solutions. You will work throughout the whole life cycle of data science projects: design, implementation, evaluation, product ionization and beyond. You will deliver efficient and production-ready Python code. You will collaborate with SME on Evaluation and technology team to deploy and productionize our data science pipelines.


Responsibilities

• Collecting Data, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders.
• Creating production-ready Python packages for each component of data science pipelines (such as pre-processing, model inference, evaluation) and their deployment together with the technology team
• Developing GenAI pipelines, building search applications using RAG.
• Evaluating GenAI applications.
• Integrating of data science components and end-to-end quality assessment
• Keeping our data science pipelines robust against model drift and ensuring continuous output quality.
• Developing tools and strategies for maintenance such as automatic model re-training.
• Establishing the reporting process of the performance of the pipeline, and automatic re-training strategy for the existing pipelines
  
  

Requirements

• 3+ years of relevant applied experience or PhD/MSc/MTech in the field of computer science, data science, artificial intelligence
• Experience in some relevant implementation platforms for ML/NLP tasks – proficiency in Python, SQL, R, Java
• Experience in model building, validation and testing using ML algorithms such as random forest, SVM, Logistic Regression, Bayesian modelling etc
• Experience with GitLab or Github, Jira and working in Agile environment
• Experience using *nix systems, open-source software, jupyter notebook hubs, libraries and cloud computing is required
• Experience using latest algorithms in deep learning, neural networks, reinforcement learning, transfer learning
• Experience with GenAI technologies. ie., utilizing LLMs via API access, building RAG systems using LangChain or Llamaindex, LLM Evaluation tools and Prompt Engineering.
  
  

About Us

A global leader in information and analytics, we help researchers and healthcare professionals’ advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.


Join Us

Purposeful Work
When you work with us, your work matters. You are part of an organization that nurtures your curiosity to stimulate innovation for the communities that we serve.

Growing Every DayLike the communities we serve, you are on a constant path of discovery to shape your career and personal development.

Colleagues Who CareYou will be part of the Elsevier family. We will support your well-being and provide the flexibility you need to thrive at work and home.

Together, we create possibilities.