Meteorologist and Data Scientist Developer

About the role

The successful candidate will serve as a meteorologist/data scientist developer at the Weather Prediction Center (WPC) and will collaborate with scientists within NOAA and external partners.

Responsibilities

• Develop and implement verification methods to gauge the effectiveness of new forecaster tools applied to operational and experimental forecasts.
• Build the capacity to enhance impact decision support services (IDSS), effectively building a Weather Ready Nation.
• Leverage machine learning techniques to enhance forecasting capabilities, including leading projects that apply advanced AI algorithms to predictive modeling.
• Provide enhancements to current forecaster tools and work to develop new services and forecaster tools.
• Transition promising work to operations and provide training materials on enhanced forecaster products and tools.
• Employ machine learning models to improve existing tools and pioneer new, data-driven services, focusing on developing tools for hazardous weather and enhancing ensemble model output.
• Identify pertinent datasets (satellite, land use, and meteorological) and develop forecaster tools which may be implemented on web pages.
• Collaborate with meteorologists at NCEP, NWS field offices, academia, and outside partners to develop forecast tools for short to medium range time frames regarding hazardous weather.
• Contribute to formal scientific publications and attend hazardous-weather-related outreach events.
• Design and train machine learning models to identify precursors to severe weather events and implement AI-based anomaly detection systems to identify errors or gaps in real-time forecast data.

Requirements

• Degree in meteorology, hydrology or related science fields (BS required, with MS or above preferred)
• Experience applying artificial intelligence (AI) and machine learning (ML) techniques to analyze and model complex environmental or meteorological datasets
• Experience with software development support in a team environment
• Proficiency in Python and Unix shell scripting within a UNIX/Linux Environment
• Knowledge of deterministic and ensemble prediction system data sets and their application to hazardous weather diagnosis and prediction
• Knowledge of weather forecasting - short to medium range
• Excellent written and oral communication skills for documentation and presentations
• Ability to organize, plan, and complete projects

Qualifications

• Experience with development Frameworks for web based map applications (e.g. ArcGIS, JavaScript, API)
• Proficiency in data science frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn, and experience with deep learning applications in weather prediction

Skills

• Strong analytical and problem-solving skills
• Effective communication and collaboration abilities
• Experience with GIS, Python, and PHP
• Knowledge of ensemble model output and its application to forecasting
• Ability to work independently and manage multiple projects

Benefits

• Comprehensive healthcare coverage
• Healthcare benefit covers medical, prescription drug, dental, and vision
• Personal Time Off (PTO) Policy plus paid holidays
• Highly competitive compensation plan
• 401(k) retirement plan with company-matching
• Employee Stock Ownership Plan (ESOP)
• 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

Pay

Compensation is commensurate with experience.

Schedule

Hours are flexible and can be adjusted to meet the needs of the position and the individual.