Global Models Post-Processing Scientist

Role Overview

• Provide general support for post-processing and atmospheric product generation of global scale ESMs, such as the GFS and GEFS, using the Unified Post Processor (UPP) software framework, including creating new products and maintaining legacy data products.
• Develop software for global models post processing and products following guidelines and ideas from the NWS probabilistic IDSS roadmap.
• Interact with NWS/NCEP/EMC and external partner domain scientists and engineers.
• Adhere to DOC/NOAA/NWS Information Technology policies and procedures.
• Adhere to project-specific software development guidelines and practices.
• Complete scientific projects in a timely fashion according to internal and external schedules.
• Actively contribute to review of scientific ideas at status/technical meetings.
• Contribute to a monthly task status report.
• Report regularly to senior project managers on project task completion status.

Requirements

• At least a Masters or equivalent experience in atmospheric sciences or meteorology, mathematics, or a related physical science.
• Strong experience working with model output from both deterministic and ensemble based scale global ESMs.
• Strong experience working in a high-performance supercomputer UNIX environment with advanced scripting languages such as Python and the korn shell.
• Strong knowledge of computing languages such as Fortran, C, and C++.
• Ability to visualize model output using Python scripting and libraries, GEMPAK, or other visualization software.
• Demonstrated knowledge with using GitHub to manage software repositories and projects.
• Demonstrated skill in communicating effectively with scientists of diverse backgrounds, and the ability to present results accurately and clearly in both oral and written form.
• Knowledge of common meteorological data formats, such as BUFR, NetCDF, HDF, and GRIB, etc.
• Some knowledge of using web page technology and languages (HTML, Javascript, CSS, etc.) to display model output data.
• Ability to work independently and in a team environment on complex problems.
• Demonstrated skill in performing tasks requiring organization and attention to detail.
• Familiarity with environmental datasets, including observations and ensemble-based model output.
• Ability to work in a fast-paced environment.
• Knowledge of statistical principles and strong analytical skills.
• Desire to explore and apply Artificial Intelligence/Machine Learning techniques to model product output on global model timescales.
• A passion for the National Weather Service mission.
• Ability to accept assigned tasking, but also engage as a creative self-starter.
• Ability to remain flexible as projects and tasks evolve.

Tech Stack

• JavaScript
• Python
• Unix

Benefits

• Comprehensive healthcare for the employee at no monthly cost
• Healthcare benefit covers medical, prescription drug, dental, and vision
• Personal Time Off (PTO) Policy plus paid holidays
• Highly competitive compensation plan regularly calibrated against industry and location benchmarks
• 401(k) retirement plan with company-matching
• Employee Stock Ownership Plan (ESOP) – we’re all company owners!
• Flexible spending accounts
• Employee assistance program (EAP)
• Short
• and long-term disability insurance
• Life and accident insurance
• Tuition assistance/Training/Workforce improvement reimbursement per year
• Spot bonuses for exceptional performance
• Annual Employee Recognition Awards with bonuses
• Employee Referral Program
• Free centralized, self-directed Learning Management System to learn at your own pace
• Personalized career growth plans for every employee