Probabilistic Hazard Information (PHI) and AI/ML Research Specialist – Subject Matter Expert II

Job not on LinkedIn

🔥 36 minutes ago

🇺🇸 United States – Remote

💵 $102k - $108k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🔬 Research Analyst

👻 Ghost score 0%

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FedWriters

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

🤝 B2B

🏛️ Government

📚 Education

B2B • Government • Education

FedWriters is a company that specializes in facilitating effective communication for government agencies, particularly NASA's Aeronautics division. They translate intricate technical subjects into accessible formats, including engaging web stories, publications, and social media content. Additionally, FedWriters provides a range of services including technical writing, policy and rulemaking support, and compliance with accessibility standards, while also focusing on enhancing operational efficiency through innovative solutions.

📋 Description

• Apply expert, specialized knowledge to advance PHI research and development activities improving rapidly updating probabilistic severe-weather forecasts • Design, develop, and evaluate AI/ML methodologies for probabilistic hazard forecasts • Lead tools integrating WoFS ensemble output with PHI systems and workflows • Develop methods merging WoFS forecasts with radar, satellite, lightning, and environmental observations • Conduct data analysis, visualization, verification, and explainability studies • Direct software tools, workflows, and visualization products supporting research, testing, and operational transition • Lead Hazardous Weather Testbed (HWT) user engagement and evaluation activities • Analyze forecaster and stakeholder feedback to guide product development • Collaborate with scientists, developers, forecasters, and external partners • Prepare technical documentation, software repositories, evaluation reports, and project deliverables • Contribute to quarterly and annual project reports • Lead or contribute to peer-reviewed publications and present findings at conferences, workshops, and stakeholder meetings • Provide technical guidance and limited supervision to project team members

🎯 Requirements

• BS Degree in meteorology, atmospheric science, computer science, data science, engineering, or a related field • 8+ years of professional or academic experience • Experience conducting research involving severe convective storms, hazardous weather forecasting, or probabilistic prediction systems • Knowledge of ensemble forecasting systems, including Warn-on-Forecast (WoFS) or similar convection-allowing ensemble prediction systems • Experience applying artificial intelligence and/or machine learning techniques to meteorological, environmental, or geospatial datasets • Demonstrated experience leading a project team or providing limited supervision on a technical research effort • Proficiency in scientific programming and software development using Python and related data analysis and visualization tools • Experience working with large observational and model datasets, including radar, satellite, lightning, and environmental observations • Familiarity with forecast verification methodologies, uncertainty quantification, and model evaluation techniques • Experience utilizing high-performance computing (HPC) resources and modern software development practices • Ability to communicate complex scientific concepts through presentations, technical reports, and peer-reviewed publications • Experience collaborating with operational users, stakeholders, or forecasters in the development and evaluation of decision-support tools • Must complete an online IT security awareness course within one week of starting work • Foreign national candidates are subject to export control review and require CO/COR approval prior to consideration

🏖️ Benefits

• Health Insurance • Dental Insurance • Vision Insurance • Long-term and Short-term Disability Insurance • Life Insurance • 401(k) Plan • Holiday Pay • Paid Time Off • Professional development • Internal promotions • Recognition and rewards programs • Government-furnished equipment, including access to HPC resources, specialized mobile observation platforms, laboratory test equipment, computers, and office workspace, as applicable