Numerical Weather Prediction (NWP) Scientist

DTN has an opening for a Numerical Weather Prediction (NWP) Scientist in its Norman, OK.

 

Date posted

Jan. 24, 2020 12:00 am

Application deadline

Mar. 24, 2020 12:00 am

Organization

DTN

Location

  • United States

Job description

DTN is a global leader providing insights and analytics to our customers to feed, fuel, and protect the world.  We help people make critical business decisions that impact the agriculture, oil and gas, trading, and weather industries. 

It’s a difference you’ve likely felt without even knowing it. From the food on your plate to the gas in your car to the last flight you took, chances are a DTN customer made it possible. And that’s just for starters. That’s why we say, “When our customers prosper, we all win.” 

Job Description:

DTN has an opening for a Numerical Weather Prediction (NWP) Scientist in its Norman, OK, office. The successful candidate will assist with supporting and enhancing DTN’s WRF-based NWP capabilities. Key tasks involve applying WRF data assimilation techniques and developing relevant applications while working in an AWS high-performance computing (HPC) environment. Working with DTN’s global modeling team, the scientist will create and enhance innovative solutions that delight our customers. 

DTN’s Norman office is located on the University of Oklahoma Research Campus across from the National Weather Center. 

Responsibilities

  • Develop and apply WRF data assimilation techniques.
  • Support and develop operational NWP applications in an AWS HPC cloud-based environment.
  • Validate NWP model skill and devise methods for continual improvement of the forecast system. 

Minimum Requirements

  • M.S. in Meteorology or equivalent.
  • 3-5 years experience working with operational models.
  • Experience with WRF.
  • Experience with HPC in a cloud-based environment.
  • Experience with Python and Fortran. 

Desired Qualifications and Experience

  • Ph.D. in Meteorology or equivalent.
  • Experience with variational data assimilation.
  • AWS architect certification