Meteorologist and Data Scientist Developer

# Meteorologist and Data Scientist Developer Lynker Full  Timemid College Park, Maryland, USPosted Yesterday##

Role Overview Lynker is hiring a mid-level Meteorologist and Data Scientist Developer. This is a full-time role in College Park. Part of Lynker's Data Science hiring, posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting. Market median for Mid-level Data Science roles is $108k-$184k (based on 11 comparable listings).

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Job Description Lynker is seeking a sharp Meteorologist and Data Scientist Developer. The individual selected will serve as a meteorologist/data scientist developer at the Weather Prediction Center (WPC) and will have direct interaction with scientists within NOAA as well as partners outside of NOAA. This includes NCEP centers, NWS weather forecast offices, NOAA research facilities, academia, and the NWS Science and Operations Officer community.

In this capacity the incumbent will work with these partners to develop and implement verification methods to gauge the effectiveness of new forecaster tools applied to operational and experimental forecasts. The work will also strive to build the capacity to enhance impact decision support services (IDSS), effectively building a Weather Ready Nation. The role will also focus on leveraging machine learning techniques to enhance forecasting capabilities.

This includes leading projects that apply advanced AI algorithms to predictive  addition, the person selected will work to provide enhancements that build upon current forecaster tools as well as work to develop new services and forecaster tools. Promising work will be transitioned to operations. The incumbent will provide training materials on the enhanced forecaster products and tools. The individual will specifically employ machine learning models to improve existing tools and pioneer new, data-driven services.

Areas of particular need and interest to be addressed include developing forecaster and verification tools for hazardous weather. Additional areas of focus include the use of ensemble model output to aid forecaster generation of probabilistic products. A key focus will be integrating AI and machine learning workflows to optimize the processing of ensemble model output and other complex meteorological datasets. This also entails applying neural networks to enhance high-resolution numerical weather prediction models.

The ideal candidate will be able to identify pertinent datasets (satellite, land use, and meteorological) and develop forecaster tools which may be implemented on web pages. Assignments are typically received in terms of expected outcomes, and incumbents are expected to act independently to develop methodologies, and to provide sound analyses and recommendations. Assigned projects may include analysis, application development, or other areas specific to the assignment.

The ideal candidate will also leverage AI-driven data pipelines to automate the ingestion and preprocessing of vast meteorological datasets.

Duties of the Meteorologist and Data Scientist Developer will include the following
* 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.
* Use scientific and technical meteorological expertise to develop tools for determination of hazard information.
* As appropriate, contribute to formal scientific publications, and/or attending off-site conferences, symposia and hazardous-weather-related outreach events.
* Collaborate to transition forecaster tools developed at WPC and elsewhere within NOAA into operations at WPC and other NOAA offices.
* Develop web applications using…