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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
RemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The successful Remote Sensing Scientist candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines.
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The Senior/Lead Data Scientist leads efforts to expand the data science capabilities of our company's cloud-based predictive analytics platform. Masters or Ph. D. in mechanical engineering, industrial engineering, wind energy systems, aerospace engineering, statistics, data science, computer science, or related discipline.
RemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required. General Dynamics Information Technology has an immediate opening for a Senior Scientist working at a company facility in Chantilly VA with image data processing experience that is committed to pushing the limits of truly advanced technologies.
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The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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Candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines.
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Education: BS/MS Remote Sensing/Geography/Data Sciences field (advanced degree preferred) Proficient at remote sensing modeling (e.g., data cleaning, feature selection, analysis, designing, building, and model assessment.
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BS/MS Remote Sensing/Geography/Data Sciences field (advanced degree preferred) Remote Sensing Scientist. Remote sensing-based land cover mapping over agricultural areas and crop classification.
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Title: Senior Data Scientist. Experience leading end-to-end data science project implementation. Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
RemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms. Develop and implement remote sensing and statistical methodologies to perform land use and land cover classification (crop classification.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C.
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Work in a team environment on a wide range of projects, supporting our team of scientists, remote sensing analysts, and GIS analysts. Remote sensing of crop evapotranspiration; and/or. Perform and develop advanced object-based image analysis procedures and methodologies for earth science applications.
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Demonstrated experience with SQL and the python data science stack. This position requires knowledge and experience of statistical or probabilistic modeling, data transformation and visualization, and will offer career-accelerating opportunities to refine skills and domain expertise in both the business and the craft of data science.
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