Data Scientist(Remote Sensing)

Job Title

Data Scientist (Remote Sensing)

Location

Remote

Duration

Long term

Key Responsibilities

• Apply deep learning and computer vision methods to analyze complex imagery datasets, generating actionable insights.
• Develop predictive models using remote sensing and phenotyping imaging data.
• Prepare comprehensive model documentation, including problem formulation, methodology, validation, and implementation steps.
• Follow data science best practices (peer review, code review, documentation, reproducibility).
• Collaborate with cross-functional teams and stakeholders to co-develop innovative data-driven solutions.
• Present findings clearly and effectively to technical and non-technical stakeholders.

Qualifications

• D. or MS with 4+ years of experience in Data Science, Computer Vision, Deep Learning, Robotics, or related fields.
• Proven experience with remote sensing.
• Strong knowledge of analytical techniques for image analysis; experience with plant phenotyping data is highly desirable.
• Proficiency in deep learning frameworks (TensorFlow, PyTorch) and image processing tools (OpenCV).
• Familiarity with cloud platforms (AWS, GCP, Azure) for large-scale data processing and deployment.
• Proficient in Python (or other high-level languages) with version control experience (Git).
• Strong communication skills and ability to explain technical concepts to diverse audiences.
• High sense of ownership, motivated to deliver impactful results.

Skills

• Amazon Web Services (AWS)
• Analysis Skills
• Best Practices
• Cloud Computing
• Code Reviews
• Communication Skills
• Computer Vision
• Cross-Functional
• Data Processing
• Data Science
• Data Sets
• Deep Learning
• Documentation
• Documentation Models
• GCP (Good Clinical Practices)
• Git
• Image Processing
• Microsoft Windows Azure
• Predictive Modeling
• Python Programming/Scripting Language
• Robotics
• Source Code/Configuration Management (SCM)

About the Company

Global IT Con