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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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Keep list of data steward up to date in the data governance catalog. Support implementation of data governance capabilities in the data catalog platform. come and join our global team as a Data Governance Intern.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows.
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Experience - Minimum of ten (10) years of data experience in any combination of the following: Epic Cogito (Radar, Reporting Workbench, SlicerDicer, Epic Analytics Catalog, and their data warehouses: Clarity, Caboodle, Chronicles) Microsoft Azure cloud/Fabric, Synapse, Purview, Power Products (Power BI, Power Apps, Power Automate, Power Pages.
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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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Lead and execute activities to support Google Cloud Native big data & analytical tools like Python, R, Spark, Big Query, Spotfire, and Tableau. Develop strategies, standards and best practices in the areas of machine learning, data visualization and data integration and lead adoption throughout Ignite.
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Use of statistical and programming software (e.g. SAS, R, JMP, Python, SIMCA) to apply a broad range of data science and statistical applications, such as linear regression, DoE, multivariate analysis.
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I, Must be a Certified Oncology Data Specialist (ODS) by National Cancer Registrar Association. Under the general supervision of the Oncology Data Manager, this position is responsible for the identification of patients with cancer.
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The SAP Architect-Data will be responsible for leading data migration projects to success during SAP implementations. Partner with the SAP Architect-Business Process to ensure the proposed design aligns with available data, and, if required, offer suggestions to enrich or transform data to meet the design.
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Understanding of key aspects of Data and Analytics such as Data Engineering, Analytics and Visualization, DataOps, Master Data Management, and Data Governance. Must have experience moving data workloads to one or more cloud platforms (AWS, Azure, GCP) and delivering data services via Agile methodology.
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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.
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Additional preferred qualifications: Python, R, SQL proficiency, experience with data and IT infrastructure. Data Visualization: Understands how to best graphically present research findings to multiple audiences.
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Bachelors or Masters degree in a field relevant to data science, data analytics, and/or data visualization. Data Scientist (Senior) NGA - Washington. Please rate your experience with the following from 1-5: ETL processing, storing, or manipulating data on the Azure, GCP, or AWS platforms (1 being unfamiliar and 5 being an expert-level of experience.
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