Computational Social Scientist

Job Summary

Joining a dynamic team, the full-time remote Computational Social Scientist will utilize large-scale data, machine learning, and artificial intelligence to investigate energy, climate, and behavioral questions, while developing innovative methodologies and analyzing complex datasets to enhance GoodPower's programs.

Key Responsibilities

• Identify novel datasets and computational approaches to measure behavior and program impact related to decarbonization
• Develop and lead original research questions, designing rigorous studies using appropriate methods and exercising scientific judgment
• Acquire and analyze complex datasets to uncover patterns in attitudes and behaviors relevant to GoodPower's initiatives

Required Qualifications

• A graduate degree in a relevant quantitative or computational field such as computational social science, computer science, or data science
• Demonstrated independent research capabilities, including developing original questions and critically evaluating evidence
• Strong programming skills in Python and experience with reproducible analytical workflows
• Experience working with large, complex datasets and using large language models programmatically
• Familiarity with computational text-analysis methods and statistical reasoning, particularly in observational and predictive analyses