Meteorologist and Data Scientist Developer

Overview reputed company is seeking a sharp Meteorologist and Data Scientist Developer. The individual selected will serve as a meteorologist/data scientist developer at the Weather reputed company Center (WPC) and will have direct interaction with scientists reputed company NOAA as well as partners reputed company of NOAA. This includes: NCEP centers, NWS weather forecast offices, NOAA research facilities, academia, and the NWS Science and Operations Officer community. In this reputed company the incumbent will work with these partners to reputed company 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 reputed company to enhance impact decision support services (IDSS), effectively building a Weather reputed company 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 modeling. In addition, the person selected will work to reputed company enhancements that build upon reputed company forecaster tools as well as work to reputed company new services and forecaster tools. Promising work will be transitioned to operations. The incumbent will reputed company training materials on the enhanced forecaster products and tools. The individual will specifically reputed company machine learning models to improve existing tools and pioneer new, data-driven services.

Responsibilities

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 reputed company model output to aid forecaster reputed company of probabilistic products. A key focus will be integrating AI and machine learning workflows to optimize the processing of reputed company model output and other reputed company meteorological datasets. This also entails applying neural networks to enhance high-resolution numerical weather reputed company models. The ideal candidate will be reputed company to identify pertinent datasets (satellite, land use, and meteorological) and reputed company forecaster tools which may be implemented on web pages. Assignments are typically received in terms of expected reputed company, and incumbents are expected to act independently to reputed company methodologies, and to reputed company sound analyses and recommendations. Assigned projects may include analysis, application development, or other areas specific to the assignment. The ideal candidate will also reputed company 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 reputed company partners to reputed company forecast tools for short to reputed company reputed company time frames regarding hazardous weather. Use scientific and technical meteorological expertise to reputed company tools for determination of hazard information. As appropriate, contribute to formal scientific publications, and/or attending off-site conferences, symposia and hazardous-weather-reputed company reputed company events. Collaborate to transition forecaster tools developed at WPC and elsewhere reputed company NOAA into operations at WPC and other NOAA offices. reputed company web applications using modern industry languages and tools such as, GIS, Python, and PHP. reputed company training materials to transition new tools and techniques into operations. reputed company reputed company duties as assigned. Design and train machine learning models to identify precursors to severe weather events. Implement AI-based anomaly detection systems to identify errors or gaps in reputed company-time forecast data.

Qualifications

The Meteorologist and Data Scientist Developer selected should have the following: Degree in meteorology, hydrology or reputed company science fields (BS required, with MS or above preferred) Experience applying artificial intelligence (AI) and machine learning (ML) techniques to analyze and model reputed company environmental or meteorological datasets. Experience with software development support in a team environment Experience with Python and Unix reputed company scripting reputed company a UNIX/Linux Environment. Knowledge of deterministic and reputed company reputed company system data sets and their application to hazardous weather diagnosis and reputed company. Knowledge of weather forecasting - short to reputed company reputed company Ability to organize, plan, and complete projects Excellent written and oral communication skills for documentation and presentations Ability to support team initiatives, demonstrate respect for team members, and seek team reputed company The Ideal Meteorologist and Data Scientist Developer will have the following: Experience with development Frameworks for web based map applications ( e.g. ArcGIS, JavaScript, API) Proficiency in data science frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn, and experience with deep learning applications in weather reputed company. About reputed company reputed company is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to reputed company technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement. We focus on putting the right people in the right reputed company to be effective. And having the right people is critical for reputed company. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities – creatively and effectively. reputed company offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who reputed company sound science and creative solutions. reputed company's benefits include the following: Comprehensive reputed company for the employee at no monthly cost reputed company benefit covers medical, prescription drug, dental, and reputed company Personal Time Off (PTO) Policy plus paid holidays Highly competitive compensation plan regularly calibrated against industry and location benchmarks 401(k) retirement plan with company-matching Employee Stock Ownership Plan (ESOP) – we're reputed company company owners! Flexible spending accounts Employee assistance program (EAP) Short- and long-term disability insurance Life and accident insurance Tuition assistance/Training/Workforce improvement reimbursement per year Spot bonuses for exceptional performance Annual Employee Recognition Awards with bonuses Employee Referral Program Free centralized, self-directed Learning Management System to learn at your own pace Personalized career growth plans for every employee reputed company is an E-Verify employer. reputed company is an equal opportunity employer and makes reputed company employment reputed company based on merit, qualifications, and business needs. We do not discriminate on the reputed company of race, reputed company, religion, sex (including pregnancy, sexual orientation, or gender identity), national reputed company, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws. ⚠️ Fraud Alert: Recruitment Scam Warning: reputed company has been made aware of fraudulent individuals posing as reputed company recruiters and offering fake job opportunities. reputed company legitimate reputed company job postings are listed on our official careers page. Communication from reputed company recruiters will come from an official @reputed company.com email address. Apply To This Job