Data Scientist

Job Summary

To support a groundbreaking NSF-funded project, the fully remote Data Scientist will develop and maintain the central data lake for an AI-driven autonomous laboratory, focusing on data engineering and analysis to capture and serve diverse datasets from various materials synthesis systems.

Key responsibilities

• Design, deploy, and operate the READINESS central data lake, including managing access policies and metadata schemas
• Develop ingestion connectors for data capture from synthesis tools and robotic systems, ensuring structured metadata and provenance
• Build AI agents and embedding pipelines to facilitate data retrieval and answer research inquiries

Required qualifications

• Bachelor's degree in computer science, data science, engineering, or a related quantitative field
• Three or more years of professional experience in data engineering, data science, software engineering, or research computing
• Strong programming skills with experience in SQL and relational data modeling
• Familiarity with object storage solutions and distributed query engines
• Knowledge of Linux administration and at least one major cloud platform (AWS or Azure)