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.
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
Apply tot his job
Apply To this Job
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
Apply tot his job
Apply To this Job