Scientist, Hydrometeorology and Statistics

Employer
AIR Worldwide
Location
Boston, Massachusetts, US
Salary
Competitive
Posted
Jul 09, 2021
Closes
Jul 27, 2021
Ref
2305935150
Discipline
Statistics
Employment Type
Full time
Salary Type
Salary
Come join the Stochastic Modeling Team in AIR's Boston-based Research Department, and contribute to building state-of-the-art probabilistic flood models. Our team projects offer opportunities for creative problem-solving on a boundless set of interesting problems at the interface of extreme weather, climate change, and risk. Catastrophe models depend fundamentally on hierarchical modeling of space-time physical processes, inference from heterogeneous and incomplete calibration data, and ensemble techniques to quantify uncertainty. We learn continuously through interdisciplinary collaborations with a diverse team of meteorologists, applied mathematicians, climate scientists, engineers, and hydrologists. As such, this is a fantastic position for a curious statistician with a passion for modeling atmospheric processes! In addition to sharp technical skills, we also hope you will bring a practical, applied mindset to the role. This role is responsible for delivery and maintenance of simulated precipitation catalogs for AIR's state-of-the-art flood risk assessment capabilities.

Day to Day Responsibilities:

• Develop and enhance stochastic and physically-based precipitation models for regions across the globe, with a focus on the practical application of precipitation modeling, data assimilation, risk assessment, and insurance industry
• Collect, process, and analyze numerous and varied data types used for the precipitation simulation, bias correction, and validation processes. These data may include in-situ and satellite-derived observations, as well as data products and numerical model output.
• Be comfortable operating in real and near-real time on tight deadlines within a team to obtain the best possible representation of an actual precipitation event
• Assimilate data into the modeling process to bring model output close to observations
• Present AIR precipitation models to clients, government bodies and the science community
• Work closely with the flood modeling team to ensure smooth delivery of products representing both historical and simulated precipitation

Qualifications

• Advanced degree in statistics, climatology, applied mathematics, hydrometeorology or a closely related field required (Ph. D. preferred).
• Command of applied probability and geostatistics is essential, including applied experience with spatial or spatio-temporal statistical modeling and simulation. Experience in handling of large data sets would be a significant advantage, as would be familiarity with data assimilation techniques.
• Strong programming skills gained through practical experience using high-level language and tools such as Python, R, MATLAB. Skills in low level-languages such as C++ or FORTRAN would be a plus, as would be comfort with shell scripting and batch job submission in a Linux setting.
• Ability to gather, integrate, and critically analyze relevant meteorological data from multiple sources, including private and public national and international agencies
• Excellent written and verbal communication skills, for both technical collaboration within and across disciplines, as well as for non-technical communication with clients
• Ability to achieve goals and meet deadlines while working on multiple tasks. Demonstrated project management skills would be a plus.
• Passion for modeling the earth system under uncertainty

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