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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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Hands on Data Engineering experience as Data Analyst, Data Engineer or Tester. Significant agile project management experience, as well as strong fundamentals in advanced analytics, data integration, and visualization leading agile projects.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Serve as a computational linguistic expert responsible for leading and managing data analytical and linguistics research project to analyze users' utterances and improve the Natural Language Processing (NLP) model of the virtual assistant.
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Extensive experience with OSINT and the use of analytical and data mining tools. Utilize OSINT and other intelligence sources to gather relevant data and provide actionable insights. Demonstrated ability to synthesize OSINT data into actionable intelligence reports.
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Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake. CGI Federal is hiring a Data Engineer SME (Data Collection Engines) to work with a skilled and motivated team of professionals on a high-visibility Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) cyber security program.
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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and Data Science tools. Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, with demonstrated experience with digital strategy, IT project management, enterprise architecture, SDLC (Software Development Life Cycle), or transformation.
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Additional tasks may include assisting with research activities such as theoretical development, literature reviews, data collection, data analysis, and reporting (to include writing conference submissions, technical reports, and peer-reviewed publications.
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Extensive knowledge of leading open source data analysis tools, ML libraries, and NLP processing techniques (including topic modeling and summarization). Familiarity with SQL and NoSQL data modeling and exploratory data visualization, preferred.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy. Experience applying econometrics/statistics, predictive modeling, simulation, and data visualization methods to support the development of health policy.
$234,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Certifications such as Azure Data Engineer Associate, Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), SnowPro Core Certification are a plus but not required.
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Functional experience in at least one of the following areas desired, but not required:Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
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Experience combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats. After the Contractor has made its review and assessment/s, NGA will perform a final approval assessment of the DNC/ENC/CPENC/LPC/DWC/TOD/SMENC/AML. Data conversion between different mapping file formats, including but not limited to VPF, S-57, S-101, ASCII.
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The Research Associate supports collaborative engagement between the Office of Institutional Effectiveness and Planning (OIEP) and campus partners seeking data and information. The Office of Institutional Effectiveness and Planning (OIEP) advances the strategic goals of George Mason University through collaborations focused on engaging partners in data-informed strategic, operational and tactical decision-making.
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data job Company: Cardinal Health in Springfield, VA
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