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This role designs, develops, and implements a Cloud-based Master Data Management (MDM) architecture that software development teams can leverage to integrate with their services. Basic Qualifications:Expertise with one or more Master Data Management or Entity Resolution products/packages (such as IBM Master Data Management, Novetta Entity Analytics or NetOwl Identity Resolution)Extensive experience in Cloud Technologies and infrastructure -as-code concepts.
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Duties/Responsibilities:- Calibration of dose meters (including dosimetric inter-comparisons for QA) and radiation equipment (accelerator monitor unit calibration) Beam data acquisition for treatment planning- Preparation of data for treatment planning systems Development/improvement of dose measurement systems and protocols and software for dosimetry purposes (including spreadsheets and databases)- Ensures compliance with Federal, State and organizational regulations for radiation safety.
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We're a company predominantly focused on cyber security for our government customers yet our expertise in other areas include big data analytics, instructional design, information management, and computer network infrastructure.
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As the Embedded Software Engineer, you will work with members of the ASED to model system performance, explore new phenomenology, develop proof of concept and/or prototype systems, provide assessments of EO/IR sensor components, and develop algorithms for the analysis and processing of remote sensing data.
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Familiarity with big data technologies, (e.g., Elastic Search, Apache Hadoop, Spark, Kafka, etc. A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions.
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As a Principal Data Scientist, you will lead innovative data science projects and teams, using your expertise in machine learning, particularly Time Series, Natural Language Processing (NLP) and Large Language Models (LLMs), to develop scalable, ethical solutions that transform customer interactions with their finances.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Data centers are experiencing once-in-a-generation demand growth, driven by cloud adoption and the AI revolution,” Jon Gray, President & COO of Blackstone. The product manager will collaborate with customers, marketing, operations, facilities, finance, sales, sales engineers, project managers and product development to develop, grow, and when necessary, assist in end-of-life and end-of-service activities of products over the course of their lifecycle.
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Working knowledge and/or certifications in ITIL, CompTIA Server+, Schneider Electric Data Center Certified Associate (DCCA), Data Analytics and Visualization. IRC team is expected to respond to all alarms/alerts set in Server Automation Operations System (SAOS), Data Center Infrastructure Management (DCIM) to quickly discover anomalies and engage Subject Matter Expert (SME) teams to start issue triage.
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Desired Skills and Experience Experience using Cameo Enterprise Architect (CEA) or Cameo Systems Modeler (CSM) Experience in military systems Knowledge of relevant domains such as aerospace or defense industries Geospatial data processing Curious and excited to learn new technologies Interested in maintaining and adapting complex systems An understanding of formal software engineering principles including design, documentation, ticketing systems, version control and Agile methodologies.
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Focus on identity resolution, review, data integrity, inclusion of information into electronic systems, and perform a variety of extraordinarily complex and detailed analytical functions relative to the compliance with various laws, EOs, directives and policies.
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Highly desired, though not required, include: Skills and demonstrated experiences that are highly desired but not required to perform the work include: Demonstrated experience with cloud services, such as AWS. Demonstrated experience using big data processing tools such as Apache Spark or Trino.
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Develop and implement effective and reasonable policies, procedures, and practices to secure protected and sensitive data and ensure information security and compliance with relevant legislation and legal interpretation.
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You will develop a comprehensive enterprise data strategy through partnerships with technology, business and analysis. Demonstrated experience with data visualization design such as dashboards, charts, and graphs.
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CAMS certification BA or BS in Accounting, Finance, Business, or related field Proficiency in MS Office: Word, Excel, PowerPoint, and Outlook Preferred Qualifications: Data Analysis: Familiarity with data analytics tools and techniques to identify trends, anomalies, and potential areas of concern within AML and Sanctions activities.
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data job Title: finance manager in Herndon, VA
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