Scientist , Agricultural Risk Modeling

AIR Worldwide
Boston, MA
Aug 18, 2017
Sep 17, 2017
Career Level
Education Level
Job Type
Relocation Cost

Scientist - Agricultural Risk Modeling Become a member of AIR’s market leading team creating state-of-the-art products and delivering best-in-class consulting services to a variety of clients engaged in agricultural risk management. Apply your skills to a variety of projects covering various perils and different crop insurance programs in the United States and worldwide.  Use your expertise and our tools to help develop, enhance, manage, and apply risk modeling solutions to a variety of client applications. Work in close collaboration with an experienced team of scientists, engineers, analysts, and statisticians to incorporate the latest modeling technologies into cutting-edge risk assessment systems.

Main responsibilities, but not limited to:

  • Develop and enhance natural hazard models for agricultural risk assessment in the United States and around the world, including in emerging markets
  • Develop computer programs relating agricultural risk factors such as extremes in temperature and precipitation, soil moisture deficits and other stresses to crop yields and crop damage across a range of spatial scales
  • Write technical documentation for internal use and distrtibution to clients
  • Work as a member of a multi-faceted research team
  • Create and deliver presentations of analysis methods and results to coworkers and senior management

Knowledge, Skills and Abilities:

  • Ability to gather, understand, and critically analyze data from all relevant sources of natural hazard information pertaining to agricultural risk
  • Demonstrated ability to learn new concepts and skills and to meet project objectives
  • Knowledge in programming with statistical packages, R preferred
  • Practical experience in a compiled programming language such as C, C++, C# or Fortran
  • Familiarity with manipulating large data sets using SQL
  • Excellent verbal and written communication skills
  • Experience with GIS and use of remotely sensed data products a plus
  • Familiarity with crop insurance programs a plus


  • Ph.D. in a branch of Natural Science or Engineering with related experience in mathematical modeling, or M.S. with three years of relevant experience
  • Background in crop risk, meteorology, or economic modeling a plus