Hiring a Data Scientist to build and scale the data pipelines behind advanced chemistry and battery ML models.

You will turn raw molecular and electrochemical data into model-ready datasets used by LLMs, graph models and simulation pipelines.

• Build ETL pipelines for large molecular, electrochemical and battery datasets
• Deliver APIs and data services to ML and simulation teams
• Apply QC, schemas and metadata to ensure ML-ready data
• Run EDA to surface gaps and improve model performance
• Work closely with scientists and ML researchers

• 2+ years in data science, data engineering or scientific computing
• Strong Python + SQL
• Experience with chemical, pharma, energy or materials data
• MS/PhD (or equivalent industry experience) in chemistry, materials or chemical engineering