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Our Impact: The Corporate Data Warehouse (CDW) is a corporate data repository that makes accessible historical and current business relevant data from disparate data sources residing within Freddie Mac's transaction processing and end-user systems into one relational database for decision support, management reporting, ad-hoc and trend analysis, modeling, and data mining purposes.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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As Senior 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.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proficiency in data visualization tools (e.g., Looker Studio, Tableau, Power BI) to create insightful and user-friendly dashboards for different business units. As a Data Warehouse Manager, you will be responsible for overseeing the design, implementation, and optimization of the Brand USA data warehouse infrastructure.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Collaborate with cross-functional teams to foster a culture of security awareness, ensuring that data security and privacy principles are embedded in all data operations. Experience with data privacy, classification, and access tools such as Immuta, Azure IAM, Azure data catalog, or Gigya.
$96,200 - $158,900 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Knowledge of Actimize data model and critical data elements (CDEs), coupled with hands-on experience in data mapping and extract, transform, load (ETL) activities for aligning an organization's data with vendor data models.
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Bachelor’s Degree in an Engineering Geology, Geology or Mining/Geotechnical Engineering discipline with 4 or more years of related experience. The selected candidate will have experience in drilling, core logging, mining, tunnel construction and design, trenchless technology, rock mass characterization and intelligence analysis skills.
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Applying artificial intelligence, machine learning, and data mining techniques to national security-relevant problems. Statistical analysis of national security data (with proficiency in R, Stata, Python, SAS or other statistical analysis software.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Cyber security business and systems subject matter management expertise in Application Security, Data Security, Data Governance, and Network Security domains. To ensure the organization's data remains protected from inappropriate access, disclosure and/or damage.
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Use established- and develop novel- approaches to conduct ecological assessments using fish telemetry/tracking systems, bio-physical data, remote sensing, and human-use data. Experience with acoustic telemetry data, systems (VEMCO/Innovasea), networks (OTN, ACT, FACT), metadata, and analysis software (e.g., VUE, Fathom.
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Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
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Employ 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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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Python, data engineering and analysis, identification and tagging of data, AI/ML, database queries, synthesis of large datasets, data mining, statistical analysis, big data, automation, DataBricks, AWS, algorithm development, MS Excel (high proficiency in pivot tables.
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data mining jobs Title: data analyst Company: Aspca in Washington, DC
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