Meteorologist and Data Scientist Developer at Lynker Corporation
College Park, MD
$68,000–$85,000
Jun 28, 2026
College Park, MD
Jul 21, 2026
What this job asks for AI summary
A meteorologist/data scientist role embedded at NOAA's Weather Prediction Center, focused on building and improving forecaster tools for hazardous weather across short-to-medium forecast ranges. Day-to-day work spans developing machine learning and AI-driven models, verification methods, ensemble output processing, and web-based applications, then transitioning successful tools into operations. Suits candidates with a meteorology or related science degree and hands-on experience in Python, ML frameworks, and weather prediction systems.
Mid level · Remote · Bachelor's required
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $120,230 (middle half $85,660–$158,880).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is a genuine hybrid of data science (ML/AI modeling on meteorological datasets) and software development (web application and forecaster tool development). 15-2051 Data Scientists was chosen as primary because the JD's core emphasis is on ML model design, AI-driven pipelines, ensemble data analysis, and verification methods; 15-1252 Software Developers is the close runner-up given the explicit web application and tool development duties.
A Bachelor's degree in meteorology, hydrology, or a related science field is explicitly required; a Master's or above is stated as preferred, not required.
GIS and PHP appear in the required duties section ('Develop web applications using modern industry languages and tools such as, GIS, Python, and PHP'), so they are treated as hard gates despite the 'such as' qualifier — the qualifier signals interchangeability of specific tools, not optionality of the capability.
ArcGIS, JavaScript API, TensorFlow, PyTorch, Scikit-learn, and deep learning all appear under the 'Ideal candidate' / preferred section and are marked accordingly.
No compensation range, employment type, or security clearance requirement is stated in the posting.
Remote status is set per caller declaration; no metro is inferred.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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