Research Scientist Agricultural Statistics & Modeling

As a Statistician at our company, you will play a crucial role in designing and implementing statistical methodologies for experiment design, model calibration, and validation of process-based models. Your responsibilities will include: - Applying frequentist and Bayesian approaches to uncertainty quantification and predictive modeling. - Working with process-based models such as DayCent and DNDC to ensure robust statistical validation of outputs. - Conducting spatial modeling and geostatistical analyses for large-scale agricultural datasets. - Developing and implementing statistical techniques to support Monitoring, Reporting, and Verification (MRV) frameworks for carbon projects. - Ensuring compliance with carbon protocols (VM0042, VMD0053) and supporting statistical reporting for project validation. - Automating and optimizing statistical workflows using Python. - Collaborating with interdisciplinary teams to integrate statistical insights into decision-making processes. - Communicating findings through high-quality reports, technical documentation, and peer-reviewed publications. Qualifications required for this role: - Masters or Ph.D. in Statistics, Data Science, Environmental Science, Agronomy, or a related field. - Strong expertise in frequentist and/or Bayesian statistics, experimental design, and model validation. - Proficiency in Python for statistical computing, data analysis, and visualization. - Strong analytical, problem-solving, and communication skills. - Proven ability to produce high-quality reports and scientific publications. Preferred qualifications include: - Experience in spatial modeling and geostatistics. - Understanding of agriculture, soil science, and ecosystem dynamics. - Hands-on experience with process-based models (DayCent, DNDC, or similar). - Familiarity with carbon credit methodologies (VM0042, VMD0053). In addition to the exciting responsibilities and qualifications, you can also look forward to the following benefits when you join our team: - Competitive salary and benefits package (ESOP). - Key role in shaping a fast-growing climate tech startup. - Support for learning professional development. - A culture of undogmatic, unbureaucratic creativity and collaboration.,