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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. 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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Extensive experience developing data visualization tools to meet customer needs. Applied Mathematics (e.g. probability and statistics, formal modeling, computational social sciences); Computer Programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing); and Visualization (e.g. GIS/geospatial analysis, telemetry analysis.
$117,962 - $181,216 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employers data processor SonicJobs. American Registry of Radiologic Technologists Certificate - Cardiac Interventional Radiography within 24 months of hire OR American Registry of Radiologic Technologists Certificate - Vascular Interventional Radiography within 24 months of hire OR American Registry of Radiologic Technologists Certificate - Cardiovascular Interventional Radiography within 24 months of hire.
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Proven experience leveraging Esri's software capabilities including mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
$74,880 - $150,280 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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These software capabilities include, but are not limited to, the development and delivery of re-usable graphical data visualization software tools/applications and solutions; language translation capabilities; software applications integration and customization; and data ingestion, modeling and exploitation.
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Experience in one or more of the following is required: data management including relational database design and management, data ingest and data curation; data analytics including machine learning, deep learning, and artificial intelligence; data visualization including UI development; full stack development, including HW and SW architecture, VM technology and management, and software engineering; data export including API development.
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Develop and support new analytics capabilities as requirements evolve within the T&E community for assessments (e.g., data mining, systems analysis, cloud computing, data visualization, modeling and simulation.
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Required Technical Skills: Experience with data visualization tools (Tableau, Power BI) and BI platforms. Provide technical expertise and guidance in AI/ML algorithms, data modeling, data engineering, and data governance and support the deployment across various domains (e.g., natural language processing, computer vision, predictive analytics.
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Must have experience using quantitative and qualitative techniques to solve complex problems using analytic tools and techniques such as GIS, quantitative methods and data visualization, modeling, systems analysis, comparative analysis, and database development.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
$7 - $11ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Years of Experience: Minimum 2 years of experience in genomic and molecular techniques to include manual nucleic acid extractions, biospecimen processing & biobanking, high throughput sequencing, microarrays, qPCR, ELISA. Demonstrated acuity with statistical and analytical skills necessary to assess data produced by the above techniques by means of electrophoretic and fluorometric QA/QC assays, and bioinformatical analysis.
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Apply data science and visual programming tradecraft to support and streamline analysis tasks. Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.
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Proficiency in using various data analysis and visualization tools and software, such as Excel, SQL, R, Python, Power BI, Tableau, etc. An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau. Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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The analyst provides actionable intelligence through cryptocurrency tracking and analysis, open source and dark web intelligence and social media analysis, geospatial mapping and data visualization, and USPS backend and network data exploitation.
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african american data visualization jobs Company: Doordash in Fairfax, VA
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