ERT · 20 hours ago
Remote Sensing Scientist - NOAA Commercial Data Program
United States
Full-time
Remote
Senior Level
$83K/yr - $239K/yr
6+ years expERT is involved in enhancing NOAA’s operational forecasting and research capabilities through the NOAA Commercial Data Program. The Remote Sensing Scientist will support instrument performance evaluation, calibration/validation, and value-assessment analyses of satellite remote sensing data, utilizing AI/ML methodologies to ensure data quality and utility for NOAA operational systems.
AnalyticsBusiness DevelopmentInformation TechnologyInternetSoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Support for NOAA Commercial Data Program: Conduct rigorous processing and evaluation of commercial microwave and infrared satellite observations to determine whether Level-1 datasets meet requirements for calibration accuracy, stability, instrument noise, and inter-channel noise correlations
Utilize and contribute to radiative transfer modeling using the Community Radiative Transfer Model (CRTM) and similar tools in both research and operational contexts
Data Validation and Quality Control: Implement validation procedures to verify the accuracy and reliability of commercial, partner, and NOAA operational observational data
Ensure consistency, integrity, and readiness of observational datasets for assimilation and distribution to users, adhering to standards for experimental and operational data releases
Algorithm Development: Lead development of advanced machine learning and artificial intelligence algorithms for geophysical performance assessment of commercial, partner, and NOAA operational infrared and microwave satellite observations
Perform information content and sensitivity analyses to ensure algorithms and datasets meet theoretical and operational expectations
Scientific Communication and Collaboration: Prepare scientific documentation, technical reports, and presentations for internal project reviews, NOAA leadership, and external scientific forums
Collaborate with multidisciplinary teams including remote sensing experts, data assimilation specialists, and software engineers
Qualification
Required
Extensive experience performing data calibration, quality assessment, and calibration/validation evaluation of commercial and NOAA operational sensor Level-1 datasets
Minimum 6+ years of experience with advanced numerical methods, AI/ML technologies, and neural network application to large, multi-year datasets, including hands-on use of libraries such as TensorFlow, Keras, and/or PyTorch
6+ years of applied experience in data assimilation, numerical weather prediction, and remote sensing, with emphasis on microwave and infrared sounder systems
Proficiency in: Fortran 90+, C/C++, Python, IDL, Matlab, and Linux shell scripting
Experience with Linux, Unix, high performance computing (HPC) environments and cloud computing platforms (e.g., AWS, GCP, Azure)
Familiarity with version control and configuration management tools (e.g., GitHub/GitLab) in an operational software team environment
Ability to clearly and effectively communicate complex technical concepts in meetings, written reports, and scientific conferences
Demonstrated capability to work collaboratively with project leads, program managers, and cross-disciplinary
Must be a US Citizen or Permanent Resident who has lived in the United States at least 3 out of the last 5 years and be able to pass a background investigation to obtain a security badge to access applicable government facilities and systems
Ph.D. in Atmospheric Science, Computer Science, Information Systems, Software Engineering, Remote Sensing, or a related quantitative discipline
Benefits
Medical, Rx, Dental, and Vision Insurance
401(k) retirement plan with company-matching
11 Paid Federal Government Holidays
Paid Time Off (PTO)
Basic Life & Supplemental Life
Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Employee assistance program (EAP)
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Professional Membership Reimbursement
Employee Referral Program
Competitive compensation plan
Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company’s performance
Publication and Conference Presentation Awards with bonuses
Company
ERT
At ERT, we have been providing high-value solutions and expertise to our partners at U.S. Federal agencies for over 30 years.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Macquarie Capital
2024-05-21Series Unknown
Leadership Team
Hugh R Johnson
Deputy Chief Operating Officer
Lauren Taneyhill
Strategic Partnerships and Community Engagement Specialist
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