[Hiring] Meteorologist and Data Scientist Developer @Lynker Corporation

Role Description

Lynker is seeking a talented Meteorologist and Data Scientist Developer to support a long term contract at the Weather Prediction Center (WPC) and will have direct interaction with scientists within NOAA as well as partners outside of NOAA. The incumbent will work with these partners to:

• Develop and implement verification methods to gauge the effectiveness of new forecaster tools applied to operational and experimental forecasts.
• Enhance impact decision support services (IDSS) to build a Weather Ready Nation.
• Leverage machine learning techniques to enhance forecasting capabilities.
• Lead projects applying advanced AI algorithms to predictive modeling.
• Provide enhancements to current forecaster tools and develop new services.
• Transition promising work to operations.
• Provide training materials on enhanced forecaster products and tools.
• Employ machine learning models to improve existing tools and pioneer new, data-driven services.
• Develop forecaster and verification tools for hazardous weather.
• Use ensemble model output to aid forecaster generation of probabilistic products.
• Integrate AI and machine learning workflows to optimize processing of ensemble model output and 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 pages or forecaster platforms.
• Act independently to develop methodologies and provide sound analyses and recommendations.
• Leverage AI-driven data pipelines to automate ingestion and preprocessing of vast meteorological datasets.

Qualifications

• 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 with 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.

Requirements

• 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.
• 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.