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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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Title: Senior Radar Scientist KBR is seeking a Senior RADAR Engineer (12+ years of Experience) to work on a multi-discipline team that supports various government customers in the Washington Metropolitan Area in the fields of photogrammetry, radargrammetry, computer vision, remote sensing, and statistical analysis.
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In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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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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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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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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It has expertise in biomarker development, disease biology research and in the application of immunology and data science technologies to support drug discovery and development. Johnson and Johnson is recruiting for an Associate Scientist, Translational Sciences (TS),Immunology Translational Sciences and Medicine (TSM) to be located in Spring House, PA. Remote work options may be considered on a case-by-case basis and if approved by the Company.
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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. Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts.
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Proven expertise in the application of data science to solar energy or related fields (weather science, meteorology, remote sensing), A PhD in data science, atmospheric science, meteorological or related fields.
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The Data Scientist & Advanced Analytics Team Coordinator will orchestrate the analysis of complex datasets to drive predictive modeling and insights into food security trends. Minimum of 5 years of experience in data science, data coordination, and analysis related to the humanitarian relief or international development fields.
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Lead Data Scientist - Remote. Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
$150,000 - $170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Scientist (hybrid/remote) - Research page is loaded. Data Scientist (hybrid/remote) - Research. The Penn State College of Medicine, Genome Sciences Institutional Core Research Facility, in Hershey, PA is seeking for a Data Scientist with experience in bioinformatic analysis of large-scale next generation sequencing data such as transcriptome, and whole genome sequencing.
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The Data Scientist will be responsible for raw data generation and management from the NGS and microarray instruments and delivering bioinformatics analyses and figures to the core’s customers, which include but are not limited to Penn State faculty and students.
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Yard Stick is a remote-first company and the technology team is distributed around the U.S. This role will report directly to Yard Stick’s VP of Software, and will work under the technical leadership of the Head of Data Science.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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