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Responsibilities: As the PIM Software development analyst, you will work closely with the Project Information Manager and undertake necessary development efforts to ensure the project’s information management system and Common Data Environment (CDE) is delivering on the project objectives.
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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Senior Data Scientist.
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. This role involves developing and engineering data-related services and applications for cloud platforms, with a specific focus on AWS. Tasks will include working within an Agile DevSecOps team environment using latest cloud-native technologies to architect and implement containerized applications, CI/CD pipelines, and Kubernetes platforms using best practices and leading technologies.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in Microsoft Excel and Microsoft PowerPoint, experience in data mining, and the ability to learn other software. Freddie Mac’s Finance division is currently seeking a Financial Planning & Analysis Professional Analyst to be part of the Multifamily CFO department.
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Develop reports using modern data visualization tools and best practices to surface valuable insights to end-users. Implement data governance best practices by capturing data definitions, identifying data stewards, and data transformations through source-to-target mappings.
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We are in search of a highly motivated candidate to join our talented Team. Job Title: Sr. Data Engineer Location(s): Mclean, VA Must have: 5+ years of experience with Python, SQL, Airflow, Spark, AWS (EMR, Lambda) Nice to have: Scala, Snowflake The candidate will be collaborating with other engineers and following the Agile Methodology.
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Moderate skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models. Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Apply data science and visual programming trade-craft to support and streamline analysis tasks as identified by key stakeholders and the government.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deliver on projects in the areas of critical data, data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping.
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Experience conducting technical/data analysis and tracing of cryptocurrency transactions through crypto/cyber data platforms. Assist 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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Experienced using data and system modeling tools such as Sparx Enterprise Architect. Serve as a Subject Matter Expert (SME) on development of GEOINT standards with the objective of facilitating compliance and interoperability through integration of NSG & ASG requirements while reducing technical and schedule risk associated with Data, Metadata, and Ontology standards.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Experience with cloud-based data technologies such as BigQuery, Redshift, Snowflake, Databricks or similar. Knowledge of data visualization tools such as Tableau, MS Power BI or Looker.
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USGS employees are subject to Title 43, USC Section 31(a) and may not: (a) have any personal, private, direct or indirect interest in lands or mineral wealth of lands under survey; (b) have any substantial personal, private, direct or indirect interests in any private mining or mineral enterprise doing business with the United States; or (c) execute surveys or examinations for private parties or corporations.
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data mining jobs Title: analyst system in Fairfax, VA
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