5 Environmental Modeling Jobs

As a Statistical Methodologist at our climate tech startup, you will design and implement advanced statistical methodologies to enhance experiment design, model calibration, and validation of process-based models. You will be responsible for applying both frequentist and Bayesian approaches to quantify uncertainty and develop predictive models. Collaborating with interdisciplinary teams, including environmental modelers, agronomists, and data scientists, you will integrate statistical insights into decision-making processes. Your key responsibilities will include conducting spatial modeling and geostatistical analyses for large-scale agricultural datasets, developing statistical techniques to support Monitoring, Reporting, and Verification (MRV) frameworks for carbon projects, and ensuring compliance with carbon protocols (VM0042, VMD0053). Your expertise in automating and optimizing statistical workflows using Python will be crucial in this role. To qualify for this position, you should hold a Master's or Ph.D. in Statistics, Data Science, Environmental Science, Agronomy, or a related field. Strong proficiency in frequentist and/or Bayesian statistics, experimental design, model validation, and Python for statistical computing is required. Your analytical, problem-solving, and communication skills will enable you to produce high-quality reports and scientific publications. Preferred qualifications include experience in spatial modeling, geostatistics, an understanding of agriculture, soil science, and ecosystem dynamics, as well as hands-on experience with process-based models such as DayCent and DNDC. Familiarity with carbon credit methodologies (VM0042, VMD0053) will be an added advantage. In return, we offer a competitive salary and benefits package, including ESOP, the opportunity to play a key role in shaping our fast-growing startup, support for learning and professional development, and a culture of undogmatic, unbureaucratic creativity and collaboration. Join our small, ambitious, and international team to make a meaningful impact in the climate tech industry.,

Job Summary We are seeking an Environmental Scientist (freelancer) to join our team and contribute to our AI-driven environmental research initiatives This is a remote, flexible opportunity to work on impactful projects, applying scientific knowledge to enhance AI systems focused on environmental sustainability Key Responsibilities: Conduct research and analyze environmental data to support AI-driven environmental projects Develop and evaluate models that predict environmental outcomes, focusing on sustainability, pollution, and natural resource management Annotate and assess AI-generated content related to environmental issues, ensuring it aligns with scientific accuracy and relevance Collaborate with cross-functional teams to integrate scientific findings into AI-based solutions for real-world environmental challenges Ensure the application of environmental standards and regulations in AI projects Provide feedback on AI responses to improve the quality and accuracy of environmental-related educational content Required Qualifications: Bachelors or Masters degree in Environmental Science, Ecology, or a related field Strong knowledge of environmental regulations, sustainability practices, and environmental data analysis Experience with data analysis tools and environmental modeling Familiarity with AI and machine learning concepts is a plus Excellent problem-solving skills and the ability to work in a collaborative environment Strong communication skills and the ability to explain complex scientific concepts clearly Why join us Fully remote and flexible work schedule Opportunity to contribute to the advancement of AI technology

Job Summary We are seeking an Environmental Scientist (freelancer) to join our team and contribute to our AI-driven environmental research initiatives This is a remote, flexible opportunity to work on impactful projects, applying scientific knowledge to enhance AI systems focused on environmental sustainability Key Responsibilities: Conduct research and analyze environmental data to support AI-driven environmental projects Develop and evaluate models that predict environmental outcomes, focusing on sustainability, pollution, and natural resource management Annotate and assess AI-generated content related to environmental issues, ensuring it aligns with scientific accuracy and relevance Collaborate with cross-functional teams to integrate scientific findings into AI-based solutions for real-world environmental challenges Ensure the application of environmental standards and regulations in AI projects Provide feedback on AI responses to improve the quality and accuracy of environmental-related educational content Required Qualifications: Bachelors or Masters degree in Environmental Science, Ecology, or a related field Strong knowledge of environmental regulations, sustainability practices, and environmental data analysis Experience with data analysis tools and environmental modeling Familiarity with AI and machine learning concepts is a plus Excellent problem-solving skills and the ability to work in a collaborative environment Strong communication skills and the ability to explain complex scientific concepts clearly Why join us Fully remote and flexible work schedule Opportunity to contribute to the advancement of AI technology

Job Summary We are seeking an Environmental Scientist (freelancer) to join our team and contribute to our AI-driven environmental research initiatives This is a remote, flexible opportunity to work on impactful projects, applying scientific knowledge to enhance AI systems focused on environmental sustainability Key Responsibilities: Conduct research and analyze environmental data to support AI-driven environmental projects Develop and evaluate models that predict environmental outcomes, focusing on sustainability, pollution, and natural resource management Annotate and assess AI-generated content related to environmental issues, ensuring it aligns with scientific accuracy and relevance Collaborate with cross-functional teams to integrate scientific findings into AI-based solutions for real-world environmental challenges Ensure the application of environmental standards and regulations in AI projects Provide feedback on AI responses to improve the quality and accuracy of environmental-related educational content Required Qualifications: Bachelors or Masters degree in Environmental Science, Ecology, or a related field Strong knowledge of environmental regulations, sustainability practices, and environmental data analysis Experience with data analysis tools and environmental modeling Familiarity with AI and machine learning concepts is a plus Excellent problem-solving skills and the ability to work in a collaborative environment Strong communication skills and the ability to explain complex scientific concepts clearly Why join us Fully remote and flexible work schedule Opportunity to contribute to the advancement of AI technology

Conduct research and analyze environmental data to support AI-driven environmental projects. Develop and evaluate models that predict environmental outcomes, focusing on sustainability, pollution, and natural resource management. Annotate and assess AI-generated content related to environmental issues, ensuring it aligns with scientific accuracy and relevance. Collaborate with cross-functional teams to integrate scientific findings into AI-based solutions for real-world environmental challenges. Ensure the application of environmental standards and regulations in AI projects. Provide feedback on AI responses to improve the quality and accuracy of environmental-related educational content. Required Qualifications: Bachelor's or Master's degree in Environmental Science, Ecology, or a related field. Strong knowledge of environmental regulations, sustainability practices, and environmental data analysis. Experience with data analysis tools and environmental modeling. Familiarity with AI and machine learning concepts is a plus. Excellent problem-solving skills and the ability to work in a collaborative environment. Strong communication skills and the ability to explain complex scientific concepts clearly.