[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) with direct interaction with scientists within NOAA and partners outside of NOAA. Responsibilities include:

• Developing and implementing verification methods to gauge the effectiveness of new forecaster tools applied to operational and experimental forecasts.
• Building capacity to enhance impact decision support services (IDSS) to create a Weather Ready Nation.
• Leveraging machine learning techniques to enhance forecasting capabilities, including leading projects that apply advanced AI algorithms to predictive modeling.
• Providing enhancements to current forecaster tools and developing new services and tools.
• Transitioning promising work to operations and providing training materials on enhanced forecaster products and tools.
• Employing machine learning models to improve existing tools and pioneer new, data-driven services.
• Developing forecaster and verification tools for hazardous weather.
• Using ensemble model output to aid forecaster generation of probabilistic products.
• Integrating AI and machine learning workflows to optimize processing of ensemble model output and complex meteorological datasets.
• Applying neural networks to enhance high-resolution numerical weather prediction models.
• Identifying pertinent datasets (satellite, land use, and meteorological) and developing forecaster tools for implementation on web pages or within forecaster platforms.
• Acting independently to develop methodologies and provide sound analyses and recommendations.
• Leveraging AI-driven data pipelines to automate ingestion and preprocessing of vast meteorological datasets.

Qualifications

• A degree (e.g. B.S. or B.A.) in Atmospheric Science, Oceanography, 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 covering 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.
• Personalized career growth plans for every employee.