Remote Sensing Data Scientist & Program Lead

Remote Sensing Data Scientist & Program Lead

About Urban Sky:

Urban Sky is a venture-backed aerospace startup that pioneers utilization of the stratosphere and reimagines the way humans view and analyze the earth. We design, build, operate, and sell stratospheric balloon systems, and the data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of Defense (DoD), NASA, and others.

Urban Sky sends flight vehicles to the stratosphere on a weekly basis.

Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment.

We aim to build the next chapter of stratospheric history in Denver and are seeking self-starting, open-minded, and hard-working team members.

About The Role:

Urban Sky is seeking an experienced Remote Sensing Data Scientist to lead our NASA ROSES-funded "Hot Spot" project, a cutting-edge 3-year fire sensing program leveraging our stratospheric balloon platforms for wildfire detection and monitoring. This role combines deep technical expertise in remote sensing, algorithm development, and data analysis with program leadership responsibilities.

As the primary technical and programmatic lead for Hot Spot, you will own the end-to-end development of Land Surface Temperature (LST) data products—from algorithm design and radiative transfer modeling through calibration, validation, and operational delivery. You will build and maintain data quality control pipelines, develop production-quality software, and translate instrument performance characteristics into robust retrieval algorithms. You will also manage the program schedule, maintain the customer relationship with NASA, and ensure successful execution of all project milestones.

This position offers a unique opportunity to shape the future of stratospheric remote sensing while building relationships that will extend to other government agencies including the Air Force and Army.

This is not a role for those seeking a well-trodden path—our work involves solving problems with no clear precedent, designing novel solutions, and iterating rapidly in ambiguous and fast-paced environments. You should be comfortable taking on big ambiguous projects at the forefront of remote sensing, data science, and earth observation. In this role you will have the autonomy to innovate at the cutting edge of stratospheric sensing technology.

Key Responsibilities:

• Lead the NASA Hot Spot program as primary technical and programmatic owner, managing schedule, deliverables, and customer relationships
• Lead algorithm development, calibration, and validation for Land Surface Temperature (LST) data products from thermal infrared (TIR) instruments, including uncertainty estimation and performance characterization
• Implement atmospheric correction and radiative transfer modeling to support LST and secondary geophysical products; assess sensitivities to atmospheric state, surface emissivity, and instrument characteristics
• Design, implement, and own the data quality control (QC) and validation pipeline for all data products, including defining quality metrics, thresholds, automated checks, monitoring, and anomaly detection
• Maintain and extend the data processing codebase for operational delivery of scientific data products, emphasizing scalable workflows, reproducibility, automated testing, and clear documentation
• Support optical and system-level modeling to inform both hardware development and data processing; perform optical performance analysis (e.g., MTF, SNR, stray light, distortion) using tools such as Zemax Optic Studio, Code V, or FRED
• Translate instrument performance and optical effects into algorithm assumptions, correction strategies, and uncertainty models; collaborate with hardware teams on payload design, integration, testing, and performance trades
• Support the design, development, testing, and calibration of high-performance EO payloads for…