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Key Responsibilities:
- 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.
- Develop web applications using modern industry languages and tools such as, GIS, Python, and PHP.
- Design and train machine learning models to identify precursors to severe weather events.
Qualifications:
- Degree in meteorology, hydrology or related science fields (BS required, MS or above preferred).
- Experience applying AI and ML techniques to analyze and model complex environmental or meteorological datasets.
- Experience with Python and Unix shell scripting within a UNIX/Linux Environment.
About Lynker:
- Lynker is a growing, employee owned business, specializing in professional, scientific and technical services.
- Offers a team-oriented work environment with comprehensive healthcare, PTO, 401(k) with matching, and employee stock ownership.
- Committed to equal opportunity and professional development through personalized career growth plans.
Lynker
Lynker is a growing, employee-owned business specializing in professional, scientific, and technical services. The company focuses on hydrology/water sciences, geospatial analysis, IT, resource management, and conservation with a streamlined team-oriented culture.