Remote Sensing Data Scientist

Responsibilities:

• Design and maintain production-grade remote sensing data pipelines for processing geospatial imagery supporting global breeding.
• Develop automated image preprocessing workflows and machine learning models to extract actionable insights from multi-temporal datasets.
• Integrate satellite, drone, and ground-based sensor data into unified frameworks for spatial analysis and crop characterization.

Qualifications:

• Master's or Doctoral degree in Remote Sensing, Geosciences, Agricultural Engineering, or a related field.
• 3+ years of hands-on experience with remote sensing imagery and geospatial data, including Python programming with ML frameworks and cloud platforms.
• Proven ability to build and deploy scalable ML/computer vision models and apply advanced techniques like transfer learning in agriculture or environmental contexts.

Additional:

• Candidates must be legally authorized to work in the United States without sponsorship.
• The role involves collaborating with data engineering and domain experts to translate scientific requirements into operational tools.
• Offers a full benefits package including medical, dental, vision, 401(k) with match, and paid time off.