Remote Sensing Data Scientist — GNSS-RO & AI/ML

Stcnet; College Park (MD); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

Paid Time Off

401K with employer match

Flexible spending account

Health savings account

Job summary

STC seeks a Jr Scientist to support GNSS radio occultation data processing and retrievals for atmospheric sciences. You will drive validation against reference datasets and contribute to operational software and reports.

The role requires deep domain knowledge in RO techniques, experience with Python/Fortran, and familiarity with cloud-based workflows for long-term production readiness.

Qualifications

• PhD or MS in Atmospheric Science, Remote Sensing, or related field with GNSS RO focus.

Responsibilities

• Validate and operationalize next-generation satellite atmospheric retrievals.
• Lead evaluation of physical and AI/ML inversion algorithms.
• Prepare baseline code, ATBDs, and evaluation reports.
• Deliver OCS-compliant operational package in 1–2 years.
• Compare retrievals against independent datasets (radiosondes, dropsondes).
• Assess retrieval performance across clouds, land/ocean, inversions, aerosols.

Skills

GNSS RO knowledge

Python (NumPy/SciPy/xarray)

Fortran/C++

Cloud computing

Education

Master's Degree in Atmospheric Science/Remote Sensing or related

PhD preferred in Atmospheric Science

Tools

MATLAB

NCWCP College Park infrastructure

Job description

STC seeks a Jr Scientist to support GNSS radio occultation data processing and retrievals for atmospheric sciences. You will drive validation against reference datasets and contribute to operational software and reports.

The role requires deep domain knowledge in RO techniques, experience with Python/Fortran, and familiarity with cloud-based workflows for long-term production readiness.