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Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization's overall HR Data & Reporting objectives.
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As ABSC’s next TS/SCI-cleared Data Scientist, you will play a critical role in the design, engineering, development, deployment, and use of software for the 10-year DOMEX Technology Platform (DTP) contract, where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Department of Defense (DoD) and Intelligence Community (IC) enterprise.
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OSINT Research, Investigation, Data Mining, and Analysis (60%) Proficiency in data mining techniques and tools. Proven experience as an OSINT Analyst, Data Analyst, Business Analyst, Technical Project Manager, or similar data management professional.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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Guidehouse is seeking a caring and experienced Senior Data Analyst to join our Defense and Security Segment. Data Science Consulting - Senior Data Analyst. - Design and develop data visualization and dashboard solutions using Power BI to support analysis and communications.
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Adeptness with Terraform, Azure DevOps, and other tools essential for modern data engineering. Join us in a dynamic role as a Databricks data engineer, where you'll dive deep into the heart of cutting-edge data infrastructure within Azure's cloud environment.
Full-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Principal HR Data Analyst. Improve the quality of data and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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Proficiency to manipulate data using R programming. The Clinical Data Scientist position interacts with many FDA stakeholders across several Offices and Centers specifically with clinical reviewers (Medical Officers) and statistical reviewers.
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Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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2-3 years of experience working with Informatica' s Enterprise Data Catalog (EDC) and Axon Data Governance strongly needed. American Red Cross is looking for talented industry professional, who is skilled in data stewardship who can promote the data governance strategy and the related stewardship framework, specifically using Informatica's Axon & Enterprise Data Catalog.
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Perform data analysis on complex data sets received from clients as part of solution delivery; including data normalization, analysis, testing, mining, and reconciliation to ensure accurate and complete client solutions.
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Support QA Analysts in requirement interpretation, test case development, and data mining. Participation in design, data mapping, data modeling, and program specification walkthroughs.
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Expertise in advanced machine learning techniques, including deep learning, data mining, clustering, regression models, predictive modeling, optimization, and ranking. Develop cutting-edge, end-to-end data-driven solutions using a diverse range of machine learning approaches, including supervised, unsupervised, clustering, NLP, computer vision, and ranking.
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data mining jobs Title: financial analyst in Washington, DC
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