Data Scientist

• Pharma

• Start ASAP/to determinate

• 100% remote

• B2B up to 50 e/h netto+VAT

The role of the Data Scientist in RAG & Document Intelligence focuses on designing and implementing AI solutions that enhance the accessibility of knowledge within an organization, transforming complex enterprise documents into actionable insights.

Main Responsibilities:

• Optimize RAG pipelines by experimenting with various strategies for parsing, chunking, and retrieval to improve answer quality and reduce errors.

• Extract structured information from unstructured content, ensuring high-quality input for processing.

• Design and conduct experiments to evaluate models based on accuracy, latency, and cost, and derive insights from the data.

• Implement NLP techniques to solve real-world problems, enhancing user experience through effective query handling.

• Monitor and evaluate the performance of AI models and make necessary adjustments for cost-efficiency.

Key Requirements:

• Strong Python skills with experience in machine learning and generative AI workflows.

• Solid understanding of NLP principles like text representation and semantic search.

• Experience in designing and optimizing RAG pipelines for unstructured documents.

• Proficiency with document parsing and handling diverse formats.

• Familiarity with evaluation frameworks for LLMs and defining specific quality metrics.

• Knowledge of multi-agent AI frameworks.

• Experience with vector databases and cloud services (Azure/AWS).

• Strong analytical skills with an experimental approach to problem solving.

• Fluent in English (written and spoken).

Nice to Have:

• Hands-on experience with Databricks GenAI products.

• API development and integration skills.

• Familiarity with Model Context Protocol.

• Knowledge of knowledge management and taxonomy design.

Other Details:

• Impact Level: Greenfield AI Initiative

• Collaboration: Work with various business units across the organization.