Meteorologist and Data Scientist Developer
About The Position
Lynker is seeking a sharp Meteorologist and Data Scientist Developer to serve at the Weather Prediction Center (WPC). The individual will interact with scientists within NOAA and external partners, including NCEP centers, NWS weather forecast offices, NOAA research facilities, academia, and the NWS Science and Operations Officer community. The role involves developing and implementing verification methods for new forecaster tools, enhancing impact decision support services (IDSS) to build a Weather Ready Nation, and leveraging machine learning techniques to improve forecasting capabilities. This includes leading projects that apply advanced AI algorithms to predictive modeling. The position will also focus on providing enhancements to current forecaster tools, developing new services and tools, and transitioning promising work to operations. The incumbent will create training materials for enhanced products and tools, specifically employing machine learning models to improve existing tools and pioneer new, data-driven services.
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
- 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
Nice To Haves
- 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.
Responsibilities
- Develop forecaster and verification tools for hazardous weather.
- Utilize ensemble model output to aid forecaster generation of probabilistic products.
- Integrate AI and machine learning workflows to optimize the processing of ensemble model output and other complex meteorological datasets.
- Apply neural networks to enhance high-resolution numerical weather prediction models.
- Identify pertinent datasets (satellite, land use, and meteorological) and develop forecaster tools for web implementation.
- Leverage AI-driven data pipelines to automate the ingestion and preprocessing of vast meteorological datasets.
- 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.
- 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 severe weather events.
- Implement AI-based anomaly detection systems to identify errors or gaps in real-time forecast data.
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)
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
