Associate Director – Agricultural Modeling

This is a fully remote position, open to applicants in Massachusetts, +1 more state.

📋 Description

• Perform comprehensive agriculture modeling tasks, which encompass data preparation and validation, portfolio analysis and postprocessing, result reporting, data visualization, and mapping.

• Create crop yield models for key U.S. crops such as corn, soybeans, wheat, cotton, sorghum, rice, and various specialty crops.

• Design stochastic yield simulation frameworks utilizing probabilistic techniques.

• Apply machine learning, statistical, and hybrid methodologies for yield prediction and risk assessment.

• Develop in-season crop yield forecasting models by leveraging weather observations, climate forecasts, remote sensing data, vegetation indices, soil moisture measurements, and other agricultural datasets.

• Enhance analytical processes to improve efficiency and deliver superior results for clients.

• Collaborate closely with both internal and external stakeholders to meet client and market requirements.

• Present findings and address inquiries regarding exposure data, real-time updates, model validation, risk assessment, portfolio profitability, and optimization.

⛳️ Requirements

• Over 4 years of experience in research and quantitative modeling, focusing on the development of statistical, predictive, and/or simulation models.

• High proficiency in data analysis, manipulation, and visualization tools.

• Strong programming skills, preferably in Python and/or R.

• Capability to independently generate research questions and conduct analytical studies.

• Excellent organizational abilities, including managing multiple tasks and projects simultaneously in a fast-paced, results-oriented environment.

• Outstanding oral and written communication skills, with the ability to convey technical concepts clearly to non-technical audiences.

• Bachelor’s or advanced degree in physics, mathematics, statistics, engineering, or a related technical field (advanced degree preferred).

• Familiarity with the U.S. crop insurance market is preferred.

• Experience with optimization techniques is desirable.

• Background in working with weather and climate datasets would be advantageous.

• Legally authorized to work in the U.S.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Wellbeing offerings

• Competitive salary

• Generous paid time off (PTO)

• 401k plan with company match

• Paid volunteer days

• Reasonable accommodations to facilitate participation in the job application or interview process, perform essential job functions, and receive other employment-related benefits and privileges.