Note: The job is a remote job and is open to candidates in USA. Lynker is an employee-owned professional, scientific, and technical services company. The Meteorologist and Data Scientist Developer will collaborate with NOAA and external partners to develop, evaluate, and transition hazardous-weather forecasting tools, web applications, and training materials. The role also applies artificial intelligence and machine learning to meteorological datasets, ensemble model output, predictive modeling, and anomaly detection.
Responsibilities
- 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
- Use scientific and technical meteorological expertise to develop tools for determination of hazard information
- As appropriate, contribute to formal scientific publications, and/or attending off-site conferences, symposia and hazardous-weather-related outreach events
- Collaborate to transition forecaster tools developed at WPC and elsewhere within NOAA into operations at WPC and other NOAA offices
- Develop web applications using modern industry languages and tools such as, GIS, Python, and PHP
- Develop training materials to transition new tools and techniques into operations
- Perform related duties as assigned
- Design and train machine learning models to identify precursors to hazardous weather events
- Implement AI-based anomaly detection systems to identify errors or gaps in real-time forecast data
Skills
- A degree (e.g. B.S. or B.A.) from an accredited institution in Atmospheric Science, Oceanography, or other Geophysical Sciences, Engineering, Computer Sciences, or Mathematics and have at least 2 years of experience in related areas
- 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
- Experience with 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
- Ability to organize, plan, and complete projects
- Excellent written and oral communication skills for documentation and presentations
- Ability to support team initiatives, demonstrate respect for team members, and seek team consensus
- 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
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
- 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
Company Overview
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