Job Description
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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