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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.
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As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.
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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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This high performing team helps clients define their informationdata strategy, architecture and governance, get the most value from business intelligence and analytics, and implement enterprise content and data management solutions to enable business insights, reduce cost and complexity, increase trust and integrity, and improve operational effectiveness.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Enhance HR data reporting and analytics capabilities by leveraging appropriate tools and technologies. 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.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics.
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Design, build and maintain large, complex data processing pipelines using Apache Spark on Databricks in Azure to meet enterprise requirements for reporting and analytics. Work closely with data architecture, data governance and data analytics teams to ensure pipelines adhere to enterprise standards, usability, and performance Guide and mentor team members on best practices, effective design patterns and data maturity.
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8+ years of relevant professional experience including managing data science and analytics projects, with a background in performing data science and analytics using tools such as Python, R, SAS, SQL, Tableau, Power BI, etc.
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More than 9,000 organizations worldwide including Comcast, Cond Nast, and over 50% of the Fortune 500 rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe.
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Provide assistance with Cryptocurrency analysis, Blockchain analytics, Open Internet, including social media, Deep and Dark Web intelligence gathering and analysis, data analytics, and electronic evidence analysis related to cybercrime investigations.
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Integrate, configure, and implement: machine learning (ML) and artificial intelligence (AI) technologies; platform as a service (PaaS) capabilities to include containers and container technologies; authorization, authentication, single sign-on, and identity management capabilities to include Identify, Credential and Access Management (ICAM); geospatial mapping capabilities and services; and data analytics capabilities.
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Seeking a dynamic, goal-oriented Health Data Analytics Consultant to work on health and human services projects requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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This role will also drive delivery of HR data analytics for all Corporate functions. Excellent skills in Excel, Word, PowerPoint, Power BI, Data Analytics tools. Senior HR and Data Analytics Specialist Mclean, VA.
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As a Healthcare IT Data Scientist, you will play a vital role in leveraging data analytics and machine learning to drive actionable insights and innovations that enhance patient care, improve healthcare operations, and support strategic decision-making.
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This Chief of Staff (CoS) position supports the EVP, Insights and Enablement, who leads an agile organization focused on supporting D&S to make better, faster decisions, using data, analytics, and technology to improve and scale measurement, reporting, and business processes.
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