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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Bachelor's degree (preferably in IT, Cyber Security, Computer Science, Information Systems Management, Engineering, or similar field of study) or a Master's degree. ManTech's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies.
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Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Experience with a variety of BI and Analytics platforms like Power BI, Tableau, DOMO, Looker, PowerBI, Alteryx, and advanced statistical analysis tools like SAS or SSPS.
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Candidates will also help evaluate use cases, applications, and considerations of the use of artificial intelligence and machine learning (AI/ML) for ensuring cybersecurity of systems within the government.
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Bachelor’s in computer science, engineering, information systems, or related field/work experience plus 8 years of experience, This includes leading web development, mobile application development, services development, and software engineering teams that develop guest facing applications for Experience Access.
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All aspects of Holton-Arms programming help develop students' competencies around Diversity, Equity, Inclusion, and Belonging, Social Emotional Learning, and Global Education.
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Earned a baccalaureate degree from a regionally accredited college or university with a major in one of the following fields of study: architecture, design, engineering, industrial technology, or physics; and completed 12 semester hours of technology education content coursework, including at least 3 semester hours in each of the following areas: technology and culture, technological foundations, technological processes, and technological systems.
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DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation.
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You’ll be empowered to drive systems change and take bold steps to advance racial equity. We seek to advance racial equity and dismantle the enduring legacy of systemic racism in housing both through and within the work we do.
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Experience with roadways, sanitary sewers, water distribution systems, storm drain facilities, site grading, stormwater management, earthwork, erosion & sediment control, environmental compliance, ADA compliance, and/or pavement markings & signage.
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This position also oversees team-specific and division-wide change management and organizational change efforts, talent planning, and oversight of the divisional diversity, equity, and inclusion (DEI) execution plan, measurement, learning, and evaluation (MLE) activities, and division-wide staff engagement activities like retreats and All-staff meetings.
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machine learning science systems engineering equity and inclusion jobs Title: engineering in Arlington, VA
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