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The Statistical Analyst will also assist with designing interfaces for data collection and management, performing data integration, manuscript writing for peer reviewed medical journals, including generating figures and tables, and will support grant development with sample size calculations.
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CGS is seeking a Digital Forensic Analyst whose primary focus will be on the preservation & collection of mobile device and cloud-stored data. Perform forensic data collection and basic forensic analysis in both on-site and remote capacity.
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This position will include travel for on-site collection efforts as well as an in-office presence at the primary firm office which includes the forensics lab and data center. Minimum of an undergraduate degree, preferably in Digital Forensic Science or Computer Science/Engineering.
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Willingness to develop/train other team members to increase the group's overall knowledge base as well as cultivate secondary resources to assist in larger collection events. Experience preserving desktops, laptops, mobile devices/tablets, servers, both cloud and on-premise email implementations, nontraditional cloud data sources, social media, etc.
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Experience working with structured data exported from various platforms including analysis, custom scripting, and data manipulation to develop reports for client use. 1+ years of relevant experience in where the analyst understands the forensic lifecycle and can properly perform scoping activities, evidence acquisitions on a range of devices, and execute forensic analysis at an intermediate level.
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Digital Forensic Analyst. General knowledge of litigation support applications (e.g. Relativity, Concordance, Nuix, LAW PreDiscovery, etc.) Possess at least one industry-standard certification (EnCE, CCE, CCFE, GCFE, GCFA, CCO, CCPA, CCME, etc.
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CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.
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Act as a subject matter expert in marketing measurement science, specifically MMM + MTA unified-model measurement and media KPIs. Remain aware of data inconsistencies and work with IT, Tapestry Data Labs, Tapestry COE and/or the brand’s Agency of Record to ensure data efficacy & quality.
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ComDigital Forensic Analyst. Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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BS in Environmental Science, Data Science, Agronomy, Agricultural Business, or related field with 2+ years' work experience. A key responsibility will be to support the development of Driscoll's annual global greenhouse gas (GHG) footprint by leading the data collection, analysis, and reporting of Scope 1, 2, and 3 emissions.
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The National Institute for Student Success (NISS) at Georgia State University is seeking a detail-oriented Research Associate (Data Analyst) to support data collection and analysis for the TEACH ME project.
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QinetiQ is looking for an Imagery Analyst with Intelligence Community experience and a strong knowledge of intelligence collection. Strong knowledge of NGA specified digital data including but not limited to, commercial imagery, NTM, airborne, motion and full motion imagery, panchromatic data, spectral data, and SAR data.
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Position requires active Security Clearance with appropriate Polygraph Headquartered in Columbia, MD, RealmOne provides advanced technology services and solutions focused on cybersecurity, intelligence collection and analysis, data science and advanced analytics, and hyper-automation to support our country's most critical national security initiatives.
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Apply expertise in Python for data analysis, data science, machine learning, and artificial intelligence to develop predictive models and enhance risk assessment capabilities. Experience in data science, machine learning, and artificial intelligence techniques for risk modeling and prediction.
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data science collection jobs Title: analyst
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