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Create data models and implement data transformations using Power Query to enable advanced analytics to include leveraging Quick Insights, AI Insights, Text Analytics, NLQ and other machine learning techniques to extract insights from data.
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Position - Data Scientist/Analyst. As a part of a data analytics and support services team, the Data Analyst will support efforts providing data science, architect, and data analytics support that includes analyzing, verifying, designing, refining, modernizing, and maintaining the data model and component views within various client systems.
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Proficiency and application experience in data architecture, data visualization, and reporting. The team is responsible for analyzing and providing recommendations for utilizing big data sets by structuring and analyzing the data in a way that will allow client end users to prepare reports for population health perspective.
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Integrate Power Apps with external data sources such as SQL Server, Dataverse, SharePoint, Dynamics 365, and third-party APIs ensuring seamless data flow. Commitment to staying up to date with the latest Power Platform features, industry standards, and best practices in application development and data security.
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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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We are looking for an experienced AI practitioner using data science, machine learning and AI technologies to help us drive innovation. Your focus is on Machine Learning, Natural Language Processing, Neural Networks, Large Language Models, Knowledge Graphs, and Multi-Modal Generative AI.
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Strategize, think, act, and utilize data by enabling exploratory and quantitative analytics, data mining, and discovery. The modern data stack building includes consolidation across multiple applications (like Salesforce, SAP, Oracle, IBM, AWS, Azure, GCP, Databricks, Qlik, Power BI) at scale (Terabyte to Petabyte volume, 10M+ customers/users.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
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Experience within one or more of the following technologies: Corporate Performance Improvement (Adaptive Planning, Anaplan, NetSuite Planning & Budgeting, OneStream, Oracle FCCS, SAP BPC, or similar), Data Visualization & Analysis (Tableau, PowerBI, Alteryx.
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Enters data into the Radiology Information System (MARS) for medical records, billing, statistics, and quality assurance purposes. MedStar Health is looking for a Radiological Technologist to join our team at MedStar Washington Hospital Center.
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If your background is in Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
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Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development.
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Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry.
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machine learning data mining jobs Title: machine learning scientist in Mclean, VA
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