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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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The SCS A nalyst will develop baseline and also evolving knowledge on US adversaries in geopolitical, information, military, science and technology, and space realm through regular open source and classified research on foreign weapons programs and associated acquisition programs , development, testing, and depl oyment.
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8 years of experience in software engineering, computer science, data engineering or related fields. 12 years of experience in software engineering, computer science, data engineering or related fields.
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Qualifications Minimum Qualifications: Bachelor’s degree in marketing, communications, public relations, political science, business administration, or a related field from an accredited university.
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About the job The Google Cloud Security Data Science Research team develops innovative, data-driven solutions to today’s most challenging cybersecurity problems. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
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Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area. Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area.
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In-depth knowledge and demonstrable experience with the intelligence production cycle, executive intelligence production, graphic design, web development, and data science and related technologies.
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Partner closely with data science teams to maintain and enhance statistical models used in risk analysis and fraud detection, providing ongoing support for both ad hoc and routine data reviews, especially concerning data integration from varied sources.
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Knowledge of other GIS applications such as ArcGIS Earth and QGIS. Ability to create and incorporate imagery into geospatial intelligence products Degree in computer science, geography, surveying, engineering or related field.
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Agile Scrum and possibly experience with leading a Scrum team as a scrum master or equivalentEducation:Bachelor’s degree in computer science or related field with 15+ years of technical experienceHS Diploma/GED and 20+ yearsAS/AA and 18+ yearsBS/BA and 12+ yearsMS/MA/MBA and 9+ yearsPhD/Doctorate and 7+ yearsCertification:NoneClearance Requirements:U.S. Citizenship requiredMust be able to obtain and maintain a DHS/CBP Clearance.
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Successful completion of a NAACLS accredited MLS program, NAACLS or ABHES accredited MSL program, or a foreign medical laboratory science clinical training program within the last five years can be used in lieu of one year of full time acceptable clinical experience.
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Masters degree in radiological science, healthcare or a related field. Bachelors degree in radiological science, healthcare or a related field OR four (4) years of experience in a directly related field.
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Hands-on experience with mechanical design, fabrication, and implementation of instrumentation and/or automation for the life science industry or natural science research is a plus. Ability to create 3D cad models of mechanical parts and assemblies, as well as create necessary fabrication documentation using software packages such as Autodesk Inventor.
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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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Data Engineering manages the transition to production for advance machine learning and geolocation algorithms developed by both the Processing Algorithms and Data Science teams. Contribute to the design and implementation and maintenance of processing and data science algorithms, optimizing for scalable, low-latency deployment to a batch-processing cloud environment.
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science job Title: engineer bioenvironmental in Herndon, VA
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