Data Scientist(Remote Sensing)

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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.

Remote

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



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