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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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Bachelor's degree (master's degree desired) in related field required (preferably in Geography, Social or Behavioral Science, Computer Science, Information Systems, Math or Statistics, Earth or Geo Science, Life, Physical or Environmental Science, Engineering, Business, Data Science, Data Visualization.
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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We're looking for a data architecture Senior Manager like you to solve complex challenges and deliver leading-edge solutions for cloud-based enterprise data architectures that support business operations, advanced analytics, business intelligence and data science initiatives within the federal government.
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Display analytic results in text and visually using appropriate data science, business intelligence, and visualization tools, such as Python, R, SQL, Tableau, PowerPoint, Excel, and communicate results to client audiences at all levels with presentations and briefings.
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Master's degree in International Affairs, Political Science, Foreign Area Studies, National Security Studies, Linguistics, Business, Library Science, or a related field preferred. As an open source intelligence (OSINT) and publicly available information (PAI) analyst on our team, you'll explore new data sources, create effective queries, and combine information from disparate sources to support the military client and operational partners.
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The role fits into an existing team of passionate developers and earth science modelers with backgrounds in hydrology, fluid dynamics, meteorology, computer science, geographic information systems (GIS), environmental science, civil engineering, oceanography, and statistics.
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You will be responsible for providing data integration and analysis services working principally with Microsoft SQL Server, though may work across a number of technologies and in several other disciplines including data modeling and data science, working with data lake-based solutions.
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Responsibilities: Lead Get Well’s strategic direction and vision for data science, business analytics, and data engineering functions, building partnerships with stakeholders across Product, Sales, Marketing, Client Success and Engineering.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Healthcare, Commercial office, Hospitality, Science and Technology, Federal Projects, High rise Residential, Mission Critical)Autodesk REVIT experience. Your Impact Provide designs for telecommunications systems (Structured cabling systems, telecom spaces, and pathway infrastructure) and other related disciplines such as electronic security, audiovisual, and data network systems.
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At minimum, BA or BS in International Affairs, Political Science, Economics, or similar social science. As an SIA , you will transform Rhombus Guardian's unique AI-derived raw data into meaningful and critical, single and all-source intelligence reports that help advance US national security.
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Develop and maintain infrastructure for effective data extraction, transformation, and loading (ETL) utilizing AWS and SQL technologies, streamlining data processing workflows. Familiarity with dbt for data build tooling.
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Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements. 3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake.
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data science jobs Title: specialist leasing Company: Intersolutions in Mclean, VA
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