Meteorologist, Data Scientist

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Work in collaboration with meteorologists at NCEP, NWS field offices, academic institutions, and external partners to create forecasting tools aimed at short to medium-range hazardous weather conditions.

• Leverage scientific and technical meteorological knowledge to create tools that assist in hazard information determination.

• As suitable, contribute to formal scientific publications and participate in off-site conferences, symposia, and outreach events related to hazardous weather.

• Collaborate on transitioning forecaster tools developed at WPC and other NOAA locations into operational use at WPC and additional NOAA offices.

• Develop web applications utilizing contemporary industry languages and tools, including GIS, Python, and PHP.

• Create training materials to facilitate the integration of new tools and techniques into operational processes.

• Perform additional duties as assigned.

• Design and train machine learning models to detect precursors to severe weather events.

• Implement AI-driven anomaly detection systems to recognize errors or gaps in real-time forecast data.

⛳️ Requirements

• A degree in meteorology, hydrology, or a related scientific field (BS required, MS or higher preferred).

• Experience utilizing artificial intelligence (AI) and machine learning (ML) techniques for analyzing and modeling complex environmental or meteorological datasets.

• Background in software development support within a collaborative team environment.

• Proficient in Python and Unix shell scripting in a UNIX/Linux environment.

• Understanding of deterministic and ensemble prediction system datasets and their application in hazardous weather diagnosis and forecasting.

• Familiarity with short to medium-range weather forecasting.

• Ability to plan, organize, and complete projects effectively.

• Exceptional written and verbal communication skills for documentation and presentations.

• Capacity to support team initiatives, show respect for colleagues, and work toward team consensus.

• Experience with development frameworks for web-based mapping applications (e.g., ArcGIS, JavaScript, API).

• Proficient in data science frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn, with experience in deep learning applications for weather prediction.

🏝️ Benefits

• Comprehensive healthcare coverage for the employee at no monthly cost.

• Healthcare benefits include medical, prescription drug, dental, and vision coverage.

• Personal Time Off (PTO) Policy along with paid holidays.

• Highly competitive salary structure regularly adjusted against industry and regional benchmarks.

• 401(k) retirement plan with company matching contributions.

• Employee Stock Ownership Plan (ESOP) – we are all owners of the company!

• Flexible spending accounts available.

• Employee assistance program (EAP) offered.

• Short- and long-term disability insurance provided.

• Life and accident insurance included.

• Tuition assistance/Training/Workforce improvement reimbursement available annually.

• Spot bonuses for outstanding performance.

• Annual Employee Recognition Awards with bonus incentives.

• Employee Referral Program in place.

• Access to a free, centralized, self-directed Learning Management System for personal growth at your own pace.

• Customized career growth plans for every employee.