Dice
Geospatial Data Scientist
Dice, Little Ferry, New Jersey, us, 07643
Dice is the leading career destination for tech experts at every stage of their careers. Our client, U.S. Tech Solutions Inc., is seeking the following. Apply via Dice today!
Location:
RemoteDuration:
6 months contract, Full-TimeEmployment Type:
W-2
Job Description:We are seeking a highly skilled and experienced Geospatial Data Scientist with a strong background in remote sensing and image processing to join our team. The ideal candidate will have a deep understanding of remote sensing principles, satellite imagery analysis, and advanced image processing techniques. You will use advanced analytics and collaborate with scientists from different backgrounds, IT and engineering professionals to deliver analytics solutions to solve complex agriculture problems.Responsibilities:You will leverage your background in remote sensing, image processing, statistical, geo-statistical, and machine learning models to analyze complex imagery data to develop a scalable image processing pipeline.You will write model documentation to detail problem formulation, modeling approach, validation, data requirements, and implementation steps.You will follow data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility.You will build cross-functional relationships to partner with business stakeholders and collaborate with Clients' Data Science community to co-develop innovative solutions.You will communicate results to key stakeholders in a clear and compelling manner.Experience:Remote Sensing, Image Processing, Computer Vision, Data Science.Geospatial data: You have experience working with geo-spatial data (e.g., satellite imagery, UAV, etc.). You have experience using open-source tools for spatial data analysis and visualization (e.g., QGIS, GDAL). You are proficient in handling and processing different geospatial formats (e.g., GeoJSON, SHP, GeoTIFF).Geospatial Analytics and Machine Learning: You have demonstrated understanding of machine learning/deep learning frameworks, statistical concepts, and geo-statistics and spatial data analysis. You have experience in geospatial image processing with a focus on orthorectification techniques of imageries.Cloud Computing: You have familiarity with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure).Programming: You are proficient in Python or other high-level programming languages with experience in using geospatial and machine learning libraries (e.g., OpenCV, TensorFlow, PyTorch, etc.). You are also capable of writing clean code following coding best practices.Skills:You have a high sense of ownership and are motivated to deliver valuable analysis. You have excellent communication skills and can clearly explain technical concepts to non-experts.Education:Ph.D / Masters degreeAbout US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit.
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Location:
RemoteDuration:
6 months contract, Full-TimeEmployment Type:
W-2
Job Description:We are seeking a highly skilled and experienced Geospatial Data Scientist with a strong background in remote sensing and image processing to join our team. The ideal candidate will have a deep understanding of remote sensing principles, satellite imagery analysis, and advanced image processing techniques. You will use advanced analytics and collaborate with scientists from different backgrounds, IT and engineering professionals to deliver analytics solutions to solve complex agriculture problems.Responsibilities:You will leverage your background in remote sensing, image processing, statistical, geo-statistical, and machine learning models to analyze complex imagery data to develop a scalable image processing pipeline.You will write model documentation to detail problem formulation, modeling approach, validation, data requirements, and implementation steps.You will follow data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility.You will build cross-functional relationships to partner with business stakeholders and collaborate with Clients' Data Science community to co-develop innovative solutions.You will communicate results to key stakeholders in a clear and compelling manner.Experience:Remote Sensing, Image Processing, Computer Vision, Data Science.Geospatial data: You have experience working with geo-spatial data (e.g., satellite imagery, UAV, etc.). You have experience using open-source tools for spatial data analysis and visualization (e.g., QGIS, GDAL). You are proficient in handling and processing different geospatial formats (e.g., GeoJSON, SHP, GeoTIFF).Geospatial Analytics and Machine Learning: You have demonstrated understanding of machine learning/deep learning frameworks, statistical concepts, and geo-statistics and spatial data analysis. You have experience in geospatial image processing with a focus on orthorectification techniques of imageries.Cloud Computing: You have familiarity with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure).Programming: You are proficient in Python or other high-level programming languages with experience in using geospatial and machine learning libraries (e.g., OpenCV, TensorFlow, PyTorch, etc.). You are also capable of writing clean code following coding best practices.Skills:You have a high sense of ownership and are motivated to deliver valuable analysis. You have excellent communication skills and can clearly explain technical concepts to non-experts.Education:Ph.D / Masters degreeAbout US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit.
#J-18808-Ljbffr