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Senior data scientist. We’re building a platform for high performing data teams (like Bose, Sotheby’s, Ramp, Klaviyo, Sigma, and many more) so they can continuously monitor their data pipelines and know when things break, what went wrong, and how to fix it — all before downstream consumers message them asking “is this dashboard broken.
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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 Research Scientist will lead the production of new products related to risk adjustment and analytics that leverage rich data sources including national CMS reports, payer claims, electronic health records, and performance and financial data models.
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Experience in the retrieval of in-situ and remote sensing data, and integration with crop and soil models and online digital repositories of climate and soil data. Candidate must have significant experience in the development and application of remote sensing algorithms for the retrieval of land surface temperature, land evaporation, and soil moisture from satellite observations and have a working knowledge of computer and graphical user interfaces and database storage systems for collection/retrieval of data.
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Working with Sartorius you will have unique access to large-scale, annotated and high-quality biological/chemical datasets across many different data domains in bio-analytics and bio-processing, including live-cell imaging, multi-plex cell and protein analysis as examples.
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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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About the role: Gen3 is currently seeking a talented Data Scientist to join our team, dedicated to supporting the Internal Revenue Service (IRS) on the ISSM Vulnerability Compliance and Remediation Program.
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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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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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Remote sensing-based land cover mapping over agricultural areas and crop classification; Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms.
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Research Scientist - Bioinformatics III (Remote) Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, or other relevant fields with at least 1-3 years/a master's degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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This role can either be located in Menlo Park, California as a hybrid role with 2 days a week onsite or it can be 100% remote Responsibilities Develop harmonized data models/ data dictionaries that guide the collection, processing, linkage, integration and analyses of healthcare RWD from disparate sources (EHRs, claims, cancer & death registries, PROs, etc.
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As a data scientist, you will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. 6-9 years of experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing in academia or industry.
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Develop and implement remote sensing and statistical methodologies to perform land use and land cover classification (crop classification) Work in a team environment on a wide range of projects, supporting our team of scientists, remote sensing analysts, and GIS analysts.
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Desirable skills and experience include synthetic aperture radar image science or analysis; other remote sensing imaging such as multispectral; programming and script development; data science; Python, Databricks, Jupyter Notebook; Intelligence Community analytical workflows.
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