Meteorologist and Data Scientist Developer
Benefits
Unlimited PTO
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About the Role:
- Collaborate with meteorologists to develop forecast tools for hazardous weather, leveraging ensemble model output and probabilistic forecasting.
- Train machine learning models to identify weather precursors and implement AI-based anomaly detection systems for real-time forecast data.
Requirements & Qualifications:
- Degree in Atmospheric Science, Oceanography, Engineering, or related field with at least 2 years of experience.
- Strong Python and Unix shell scripting skills within a UNIX/Linux environment, plus knowledge of meteorological datasets and forecasting.
Preferred Skills:
- Experience with TensorFlow, PyTorch, or Scikit-learn and deep learning applications in weather prediction.
- Familiarity with web-based mapping frameworks like ArcGIS, JavaScript, and APIs.
Benefits & Culture:
- Comprehensive healthcare including medical, dental, vision, and prescription coverage at no cost for employees.
- Generous PTO policy, paid holidays, 401(k) match, ESOP, and performance-based bonuses.
Employee-focused culture with career growth opportunities and ongoing training, embracing innovation and teamwork.
Lynker
Lynker is an employee-owned company specializing in scientific and technical services, including hydrology, geospatial analysis, and information technology. They are a growing team of skilled professionals focused on innovative solutions and supporting federal and NOAA contracts.