Isometric is the AI-native certifier of climate solutions. We combine scientific rigor with best-in-class technology to unlock the capital and trust needed to reverse climate change. Our customers https://registry.isometric.com/?tab=deliveries, including Microsoft and Google, trust us to help them avoid greenwashing. We’re looking for doers with a bias to action. Our team https://isometric.com/about-us#meet-team is brilliant and cares (a lot). Join us for the most impactful role of your career—and the best job you’ve ever had. [https://app.ashbyhq.com/api/images/user-content/62be68a6-1b47-4914-84d1-975d0a96ff2b/bd82f6f2-dde1-46cb-b604-e4e9d81f1610/CD595F6A-3C45-4451-948A-3132B718331A_1_105_c.jpeg] THINGS YOU’LL DO IN THIS ROLE: - Work with project developers to develop code to quantify net carbon removal or reduction in biosphere projects going through Isometric’s validation & verification process, in line with Isometric protocols. This includes: - Conducting AGB estimates; - Developing dynamic baseline approaches; - Developing uncertainty quantification approaches. - Support Isometric’s commercial team in providing bespoke indicative analysis to inform potential project developers about their carbon sequestration potential. - Abstract the bespoke solutions you develop for project developers into reusable code components. - Collaborate with the Data Science and Biosphere Science teams at Isometric to review and adapt your approaches. THINGS WE’RE LOOKING FOR: - Proficiency in data analysis, geospatial data and using cloud-hosted tools (e.g. BigQuery, Jupyter). - Strong Python skills, with experience in data abstractions, pipeline management and integrating machine learning solutions. - Clear communication skills and skilled ability to work with customers. - Adaptability to evolving priorities and a proactive approach to solving impactful problems, especially in dynamic environments. THIS ROLE ISN’T FOR YOU IF: - You want a remote job. We value in-person collaboration and spend three days a week in the office. - You prefer staying within your area of expertise and operating in structured environments. We navigate ambiguity at extreme pace and everyone is a generalist.