Senior Data Scientist

Role Overview

As a Senior Data Scientist, you will design, build, evaluate, and scale advanced AI solutions that power scientific discovery, research intelligence, knowledge enrichment, and decision support across the global research ecosystem. You will work on some of the most challenging problems in applied AI, combining machine learning, natural language processing, large language models, retrieval systems, knowledge graphs, and generative AI to help researchers uncover insights faster and make better decisions.

What You Will Do

Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge exploration. Build and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experiences.

Why It Might Be a Fit

Significant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative discipline. Advanced expertise in developing and deploying machine learning, NLP, retrieval, and generative AI solutions in production environments.

Requirements

• Significant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative discipline
• Advanced expertise in developing and deploying machine learning, NLP, retrieval, and generative AI solutions in production environments
• Experience working with modern LLMs, prompt engineering, model evaluation, retrieval systems, and AI-powered workflows
• Extensive Python programming skills and a track record of building maintainable, production-quality software
• Experience designing and implementing RAG systems, semantic search, vector retrieval, embeddings, ranking, or recommendation solutions
• Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical analysis, and performance measurement
• Experience with modern AI and ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or equivalent technologies
• Experience working with large-scale structured, semi-structured, and unstructured datasets, particularly text-rich or content-heavy data

Benefits

• Annual incentive bonus
• Country-specific benefits
• Fair and accessible hiring process
• Equal opportunity employer