Technical Meteorologist (hydrology focus)

Weather Analytics is seeking a talented and tech-savvy meteorologist with experience in hydrology that can manipulate data and develop algorithms to help serve a number of commercial and government clients.

 

Date posted

May 12, 2017 12:00 am

Application deadline

July 12, 2017 12:00 am

Organization

Weather Analytics

Location

  • United States

Job description

Technical Meteorologist (hydrology focus) 

Position Summary:

Weather Analytics is seeking a talented and tech-savvy meteorologist with experience in hydrology that can manipulate data and develop algorithms to help serve a number of commercial and government clients.

Roles & Responsibilities:

The successful candidate will:

  • Play a critical role on the science team, which is responsible for the development, maintenance and integration of weather, climate and other data into solutions that meet the needs of Weather Analytics customers
  • Lead flood risk assessment efforts, incorporating governmental and proprietary data sources
  • Develop new algorithms that build on current capabilities and add to Weather Analytics’ intellectual assets
  • Access and manipulate global, regional and unstructured data sets including, but not limited to, those produced by NOAA
  • Work with other Weather Analytics staff including data scientists, systems engineers, product developers and business developers 

Required Qualifications:

  • Master’s degree in meteorology/atmospheric science, watershed science, hydrology or related discipline
  • Five years of post-bachelor’s work experience, with significant programming responsibilities (time spent in graduate school applies towards work experience)
  • Experience managing and manipulating meteorological data files, such as GRIB, netCDF, Binary, and HDF5
  • Significant programming experience in the any of the following languages: Python (preferred), FORTRAN, IDL, UNIX shell scripting, Java, and C/C++
  • Understanding of the science of pluvial and fluvial flooding
  • Knowledge of existing flood models and ability to select appropriate tools to accomplish scientific objectives
  • Experience with visualization of scientific data (GIS is a plus)
  • Excellent skills in communicating scientific work
  • Able to work with minimal supervision in a collaborative team environment

Desired Qualifications:

  • Experience with cloud computing technologies (Amazon Web Services experience is a plus)
  • Knowledge of machine learning technologies (artificial neural networks, classification/decision trees, clustering algorithms, support vector machines)
  • Experience compiling, running and debugging computational hydrological models (1D to 3D)
  • Sense of humor, personality, and enthusiasm! 

Compensation Package:

  • We offer a competitive salary and benefits package 

Job Location:

  • This job will be located in either Washington D.C. or Dover N.H., depending on candidate preference.

To Apply:

 

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