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Experience with data analytics of large ERP applications such as MS D365, SAP, Oracle, PeopleSoft, or JD Edwards. Identify, prioritize and execute on high-value opportunities to improve key report and data risk services methodology; including developing and delivering training, whitepapers, desktop procedures for best-practice evaluation methods by business application (prioritization on Oracle, SAP, Microsoft D365, Workday, NetSuite and other tier 1 business applications.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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This position will integrate with AFLCMC/HBAW and provide technical expertise as input to a government led team of contractors and government personnel planning for migration of weather and environmental data storage and application functionality into the AFW VPC and Agile DevSecOps environment.
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Familiarity with software or tools used for business analytics, data analysis, and visualization such as Tableau, PowerPivot, Powerbase, Access, or Visio; Experience working with large data sets to distill information and present to all levels of organizational leadership.
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A connected data ecosystem is a key dependency to realize critical business strategies across Research and Development, such as AI/ML and precision medicine. In partnership with enterprise data platform teams, functional technology teams and data scientists, the Sr Data Engineer Clinical Data Hub will be part of a team delivering key clinical trial data initiatives that are contributing to the advancement of a connected data vision, including the Enterprise Data Fabric (EDF.
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Ocean Associates Inc. (OAI) is seeking a full-time Oceanographic Data Specialist 1 to support the NOAA Center for Operational Oceanographic Products and Services (CO-OPS) in Silver Spring, MD. Assist in troubleshooting water level, oceanographic, and meteorological data, and metadata issues as they arise.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Peraton is currently seeking an experienced Cybersecurity Data Engineer to become part of Peraton's Department of State (DoS) Diplomatic Security Cyber Mission (DSCM) program providing leading cyber and technology security experience to enable innovative, effective and secure business processes.
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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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2+ years of demonstrated ability with Cloud Stack in AWS, Talend (Integration Tool), Snowflake (Cloud computing data storage and analytic service), Spark, etc. 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.
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Contractor will work with appropriate systems stewards within business owners with an administrator role in order to support the development and implementation of successful cross-office processes;Supports data integration efforts being led by allied stakeholders in the deployment of Opentext and TRIRIGA. The Contractor will work with other stakeholders to define business processes and recommend procedures which allow for future content to be structured and organized to fit existing structure.
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Proficiency using Power BI, Tableau, Qlik, or Elastic X-Pack for data visualization and developing dashboards. Support National Security clients as a Data Scientist performing data science, analytics, data wrangling, statistical analysis, and machine learning.
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Review organizational programs, documents, reports, and data for policy implications and impacts on the USMS, districts, and the federal detention management system and assist the BIC with reconciling conflicts between policies and program goals.
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5+ years experience using R, Python, or Stata for descriptive and econometric analysis of micro-data. 5+ years experience using PowerPoint, R, ArcGIS/QGIS (or other geospatial data platforms), Python, machine learning, or other software skills.
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The Data Engineer (SME) will support the Army Acquisition community’s program office for Foreign Military Sales – Army Case Execution System (FMS-ACES). To support this program, the Data Engineer (SME) will have extensive experience in leading and developing data products architecture, design) within the system/software development life cycle from requirements definition to architecture, design, implementation, and test, through deployment and operations, and support and preparing data for analytical and/or operational uses within a defined organization, function, and/or application context.
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