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Utilize Relativity and Brainspace, industry-standard eDiscovery software platforms to perform data analysis. The Consultant works with the Director of Consulting Services and team to successfully support and/or oversee complex eDiscovery matters with a strong emphasis on problem solving and data analysis.
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Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Our Administrator will be responsible for managing HR functions including, but not limited to the Firm's leave of absence (LOA), disability and workers' compensation programs; employment verifications and Human Capital Management (HCM) data.
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Accurately and efficiently record Customer purchase order data into Oracle; orders are received via phone, fax, email, EDI and Internet. Research and document Customer complaints into quality system ensuring that all relevant facts and data are captured; escalate issue based on severity of complaint.
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As the Automated Litigation Support (ALS) Lab Manager, you will act in a senior level position and be responsible for the delivery of our ALS lab data processing services. Are you a senior level eDiscovery manager with experience with Data Collection, Processing, Hosting, Review, Analytics, and Productions looking for an opportunity to support a high-profile Federal Government client.
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Some examples include: computer coding; modeling and simulation; data gathering; instrumentation; computer, architectural, electrical, mechanical, structural, systems and facilities engineering; computer, microelectronics, radio frequency design; and many more.
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Data mine and perform market research on relevant federal opportunities; ensure a robust pipeline of opportunities. Demonstrated ability to aggregate, analyze and present data gathered from multiple sources.
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In addition to its constellation, Spire's data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world.
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The Work: ·Provide senior level client counsel and account management across the private and public technology sector, demonstrating expertise in current geo-political risks/opportunities, corporate affairs and policy issues impacting semiconductors, AI, cybersecurity, data privacy and cloud migration.
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Create reports and analyze data to measure the progress and effectiveness of messaging and social media efforts in addition to serving as archivist across the EWTN News teams. As the Digital Media Manager, you will work with various agency teams to create compelling content for digital platforms (including but not limited to websites, apps, and social media), manage the Editors Service, as well as social media accounts executing the News digital strategy.
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Performs ongoing, systematic collection and analysis of patient data pre – during – post hemodialysis treatment for assigned patients and documents in the patient medical record, makes adjustments or modifications to treatment plan as indicated and notifies Team Leader, Charge Nurse, Supervisor or Physician as needed.
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Demonstrated experience using Amazon Web Services such as Simple Workflow (SWF), Data Pipeline, Relational Database (RDS), CloudWatch, Elastic Compute Cloud (EC2), Elastic Block Store (EBS), or Simple Storage Solution (S3.
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Experience with developing applications running on Big Data platforms such as Hadoop/Cloudera or Spark. We are looking for individuals that want to analyze and understand data to identify anomalies.
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Reviews vendor critical infrastructure designs and perform risk analysis and availability calculations for vendor owned and operated collocation data center’s infrastructure to determine fit-for-use/fit-for-service for AWS cloud compute and networking services.
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Responsible for researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions for clients. Experience working with cross-functional teams across various data domains (e.g., human capital, finance, procurement, budget.
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data job in Washington, DC
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