Research Scientist Agricultural Statistics & Modeling

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.,