Senior Remote Sensing Data Scientist

- Exceptional Python software engineering skills, including modern packaging, testing frameworks (e.g., pytest), version control, code review, and CI/CD workflows - PhD with 3+ years, MS with 6+ years, or BS with 8+ years of industry experience - 4+ years of experience calibrating imaging instruments - Ability to thrive in a fast-paced start up environment - Solid grounding in statistics, applied mathematics, and enough instrument physics to reason about calibration algorithms, radiometric error budgets, and their diagnostics — and to design meaningful automated quality visualizations on top of them - Demonstrated experience taking scientific or numerical algorithms — for example calibration, image-processing, or signal-processing algorithms — from prototype to hardened, maintainable production code, including designing unit and integration test suites and quantitative validation against reference data - Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support) - Proven track record shipping and operating production data or analytics pipelines for scientific data — including monitoring, logging, alerting, and automated testing — ideally in a remote sensing, calibration, or other measurement-instrument context - Hands-on experience with complex data from new imaging instruments - This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must…