Machine Learning Scientist (Climate and Earth Sciences)

About

• Job Title: Machine Learning Scientist (Climate and Earth Sciences)

Responsibilities

• Develop and implement machine learning models to analyze remote sensing data for methane and carbon dioxide emissions
• Work with climate and earth science data to detect, pinpoint, and quantify greenhouse gas emissions at facility scale
• Contribute to making emissions data accessible and actionable through the Carbon Mapper Data Portal
• Collaborate with cross-functional teams to translate scientific insights into practical solutions for emission reduction

Requirements

• (No information provided)

Benefits

• (No information provided)

About the Company

• (No information provided)

This role directly contributes to reducing greenhouse gas emissions by developing the machine learning systems that make methane and CO2 data accessible to decisionmakers, enabling targeted mitigation actions against climate change.

Required qualifications:

• Advanced degree in machine learning, computer science, climate science, earth sciences, or related field
• Strong experience with machine learning frameworks and remote sensing data analysis
• Proficiency in Python programming and data science libraries
• Knowledge of climate science principles and greenhouse gas measurement methodologies

No specific benefits or compensation details mentioned in the provided description.

Carbon Mapper is a non-profit organization based in Pasadena, CA that drives greenhouse gas emission reductions by making methane and carbon dioxide data accessible and actionable through remote sensing technology and a public data portal.