Lynker Corporation
The Meteorologist and Data Scientist Developer at Lynker will collaborate with NOAA partners and external stakeholders to develop and implement forecaster tools using machine learning and artificial intelligence. This role focuses on leveraging AI algorithms to enhance weather prediction models, process ensemble data, and create web-based applications for hazard information. The incumbent will also train teams on new techniques and transition promising tools into operational settings to build a Weather Ready Nation.
Headquarters
Leesburg, Virginia, United States
Company Size
501-1000 employees
Founded
2007
Lynker is a U.S.-based professional services and technology firm that provides engineering, IT, data analytics, and environmental/mission support to federal and commercial clients. The company specializes in systems engineering, software development, cloud and secure IT solutions, and scientific data services for space, weather, environmental monitoring, and defense programs. Lynker turns complex technical and scientific requirements into operational systems and decision-support tools through subject-matter expertise and collaborative program delivery. They emphasize mission-critical support, rapid prototyping, and long-term partnerships to help agencies meet operational and research objectives.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Lynker Corporation.
Lynker Corporation didn’t post a salary, so this is our estimate from similar listings.
15% above the average for this role
Training and Research Meteorologist for International Desks (Bilingual - English/Spanish)
axiomconsultants
Meteorologist
Portland General Electric
Proj Mgr - Adv Forecasting & Trad Met
SP Energy Networks
Sr Machine Learning Engineer
PayPal
Adjunct Faculty (Data Science and Artificial Intelligence) NLC - req13794
Alamo Rent A Car
Intern in the CAVES & PANGAEA Team, Machine Learning Development
ESA