Master’s degree or PhD in computer science, machine learning, statistics, applied mathematics, engineering, or a related field is often preferred; equivalent applied experience may be considered
Advanced degree in computer science, information science, statistics, machine learning, or a related field; equivalent research experience may be considered
Degree in a discipline relevant to the research area, or equivalent practical experience. Advanced research training may be required for scientist positions.
4+ years conducting environmental impact assessments, ecological surveys, or regulatory compliance monitoring in a consulting, government, or academic setting
4+ years as a software engineer, data engineer, or AI/ML practitioner writing technical design documents, data pipeline documentation, or API specifications
4+ years conducting environmental impact assessments, ecological surveys, or regulatory compliance monitoring in a consulting, government, or academic setting
4+ years conducting environmental impact assessments, ecological surveys, or regulatory compliance monitoring in a consulting, government, or academic setting