Remote Sensing Data Scientist

Overview

Syngenta is seeking a Remote Sensing Data Scientist to leverage geospatial intelligence and accelerate breeding programs, enabling the development of superior seeds for farmers worldwide.

In Short

• Design and maintain remote sensing data pipelines.
• Develop automated image preprocessing workflows.
• Build and deploy machine learning solutions for breeding insights.
• Integrate multi-sensor data into analytical frameworks.
• Deliver time-series analyses on crop growth.
• Develop embedding-based approaches for prediction tasks.
• Leverage foundation models for robust solutions.
• Collaborate with data engineering and IT teams.
• Ensure solutions are scientifically sound and aligned with business priorities.

Requirements

• Master's or Doctoral degree in relevant fields.
• 3+ years of experience with remote sensing imagery.
• Advanced Python programming skills.
• Experience with geospatial libraries and ML frameworks.
• Proven ability to build production-grade data pipelines.
• Knowledge of advanced ML techniques.
• Familiarity with software development fundamentals.
• Background in applying remote sensing to agriculture.

Benefits

• Flexible work options for work-life balance.
• Full benefit package starting from day one.
• 401k plan with company match.
• Paid vacation and holidays.
• Education assistance and wellness programs.