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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Knowledge of Feature Data Specifications or Product Specifications (DPS) to include, the Topographic Data Store (TDS) and Multinational Geospatial Co-production Program (MGCP) schemas, Data product Specifications (DPS), and/or Standard Information Guidance (SIG) for GEOINT product lines which include Joint Operation Graphic (JOG) and Tactical Pilotage Chart (TPC.
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Experience with standard cloud authentication and authorization patterns Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science or related field including geospatial, environmental, remote sensing/earth observation or other STEM related disciplines About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.
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As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions using the latest agronomic science, data science, engineering, and real-world farming experience. The Science Research Data Engineering team is focused on creating competitive advantage for our customers through building out novel data infrastructure, metrics, insights and data services that enable the design, development, and implementation of data science insights that benefit growers.
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Must be proficient in the use of Microsoft Power BI desktop, with advanced knowledge and experience loading and transforming data within the tool, and writing and editing DAX programming. Familiarity with APIs and experience accessing and processing remote data.
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Working knowledge of Collibra Data Integration Catalog, Data Market Place, Data Quality tools, BigID and Informatica MDM, RDM, and DQ, and Collibra Ranger certification is highly desirable.
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Equal Opportunity EmployerBy applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs. Barnes-Jewish Hospital is a teaching hospital staffed by more than 1,500 Washington University Physicians, the clinical practice for the Washington University School of medicine.
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Cloud-based data ecosystems in AWS, Azure, or GCP. For example, in AWS services like S3, Kinesis, EMR, Athena, or Redshift. This will include data strategy, data lineage, data warehousing and storage, cloud architecture storage, optimization, Spark, Hive, Scala, Big Data, and a deep understanding of how data is stored and accessed in a modern environment.
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Knowledge of digital data formats including vector data, shapefile, and spatial database, GML, and XML. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. Experience working on Data Visualization tools like Tableau, PowerBI or Looker. Hands-on experience working with Databricks environment for data processing and analysis.
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As a Senior Data Scientist focused on AI and LLM capabilities, you’ll be a thought leader in the space, identifying new opportunities to bring off-the-shelf solutions into our technology ecosystem and working closely with business partners to bring use cases to life that enhance our ability to serve our clients effectively.
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To make this possible, Bayer collects terabytes of data across all aspects of its operations, from genome sequencing, crop field trials, manufacturing, supply chain, financial transactions and everything in between.
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We're seeking a highly skilled Geospatial Data Scientist with expertise in remote sensing and image processing. Geospatial Data: Experience with geospatial data (e.g., satellite imagery, UAV), open-source tools for spatial data analysis and visualization (e.g., QGIS, GDAL), and handling various geospatial formats (e.g., GeoJSON, SHP, GeoTIFF.
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Room clients, verify client data and medical history, confirm purpose of visit, and obtain necessary physical preliminary requirements such as blood draw, urine sample, height, weight, blood pressure, pulse, and temperature.
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data entry jobs Title: sales in St Louis, MO
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