LogoFresh Jobs Ahead
Lynker
Lynker
501 – 1,000 Employees
H1B Visa SponsorConsultingEngineeringScience
Lynker is a science, engineering, and technology company focused on weather and climate science, marine and ocean science and engineering, and space weather and space climate. Its scientists, engineers, and educators work with governments, communities, and industries on environmental security and economic challenges. Alongside technical services, Lynker provides training, communications, and outreach that support effective environmental policy and compliance, creating opportunities for professionals interested in applied science, engineering, consulting, and mission-driven technology work.
LinkedIn
Company Jobs

Meteorologist and Data Scientist

Develop AI, machine-learning, and forecasting tools for Lynker’s NOAA weather projects. Build hazardous-weather applications, anomaly-detection systems, and automated meteorological data pipelines.

USUnited StatesMDMaryland
$75,000 – $120,000 / year
RemoteFull-timeJuniorMiddleEnglish RequiredData Scientist
JavaScriptLinuxPHPPythonPyTorchScikit-LearnShell ScriptingTensorflowUnix

Description

  • Partner with NCEP, NWS field offices, academic researchers, and external organizations to create short- and medium-range hazardous-weather forecast tools.
  • Apply meteorological science and technical expertise to determine and communicate hazard information.
  • Contribute to scientific publications and participate in conferences, symposia, and hazardous-weather outreach events.
  • Help transition forecaster tools from WPC and other NOAA groups into operational use at WPC and additional NOAA offices.
  • Build web applications with tools and languages including GIS, Python, and PHP.
  • Create training materials that support operational adoption of new tools and techniques.
  • Design and train machine-learning models that identify precursors to hazardous-weather events.
  • Deploy AI-based anomaly-detection systems to find errors or gaps in real-time forecast data.
  • Enhance existing forecaster tools and develop new forecasting services and applications.
  • Apply neural networks to improve high-resolution numerical weather-prediction models.
  • Select relevant satellite, land-use, and meteorological datasets for forecaster tools, web pages, and forecasting platforms.
  • Use AI-driven data pipelines to automate the ingestion and preprocessing of large meteorological datasets.
  • Perform other related duties as assigned.

Requirements

  • Bachelor’s degree from an accredited institution in atmospheric science, oceanography, geophysical science, engineering, computer science, mathematics, or a related field.
  • At least two years of experience in related areas.
  • Experience using AI and machine-learning methods to analyze and model complex environmental or meteorological datasets.
  • Experience supporting software development in a team environment.
  • Experience with Python and Unix shell scripting in a Unix/Linux environment.
  • Knowledge of deterministic and ensemble prediction-system datasets and their use in hazardous-weather diagnosis and prediction.
  • Knowledge of short- to medium-range weather forecasting.
  • Ability to organize, plan, and complete projects.
  • Excellent written and verbal communication skills for documentation and presentations.
  • Ability to support team initiatives, respect colleagues, and work toward team consensus.
  • Experience with web-based map application frameworks such as ArcGIS, JavaScript, and APIs.
  • Proficiency with data-science frameworks and libraries including TensorFlow, PyTorch, or Scikit-learn.
  • Experience applying deep learning to weather prediction.

Benefits

  • Comprehensive employee healthcare at no monthly cost.
  • Medical, prescription drug, dental, and vision coverage.
  • Paid time off and paid holidays.
  • Compensation plan calibrated regularly 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.
  • Annual tuition, training, and workforce-improvement reimbursement.
  • 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.

Related Jobs