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A deep technical background in applied data science, spanning some or all statistics, experimentation, machine learning, causal methods, optimization techniques, data engineering and architecture (applied to large data), and behavioral analytics.
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Cross-functional collaboration : Engage closely with stores/field, Asset Protection, Supply Chain, HR, Finance, and other functions to define and solve reporting needs and to provide data-analytic solutions for field-based leaders.
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Our client's specialties include implementing real-time solutions and analytics through the use of interactive applications and the integration of industry-standard software stacks for both enterprise data intelligence and cyber security protection against network threats and exploits.
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Work closely with other teams such as data science, analytics, and IT to ensure data governance practices are integrated throughout the organization. Saama Analytics has been on the forefront of data innovation for the last two decades and continues to offer cutting-edge data analytics solutions powered with big data, cloud, and AI/ML aptitudes for its customers in Life Sciences, Insurance, CPG, and other industries.
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The Institute of Public Research consists of several centers of research in: Justice Research and Innovation, Emergency Management Operations, Public Health Preparedness and Resilience, Data Management Analytics, Critical Incident Analysis, Homeland Security and Infrastructure Resilience, Enterprise Systems Modernization, Vulnerable Population Protection, and The CNA Military Board.
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Master 's degree in Computer Science , Business Administration, Information Systems, Data Science, Analytics or related field and 2 years' experience as a product manager or business analyst or data analyst, ideally working on consumer-facing, mid to large -scale, highly complex B2B/C products.
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Technical areas of interest include intelligence collection and analysis, big data solutions, Artificial Intelligence / Machine Learning (AI/ML), advanced analytics, space-based sensors, and Ubiquitous Technical Surveillance (UTS.
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Proficiency in configuring and managing Azure data security solutions such as Azure Security Center, Azure Sentinel, Azure Active Directory (AAD), Azure Firewall, and Azure Information Protection.
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Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.
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Ensure that the content is compliant with the copyright and data protection laws. Measure and monitor analytics and take actions accordingly to improve metrics. Create content which will catch maximum customer interest, including but not limited to: videography, photography, infographics, and copy.
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Able to develop opportunities, pitch and deliver projects of: Network Transformation, Network Roadmaps, automation and SD-WAN with SASE, Software Defined Data Centers, Data Management & Analytics, IoT, Remote Access, WAN Cost Optimizations etc.
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As the AVP, Data Science, your mission is focused on executing on approaches and projects related to advanced analytics, causal inference, and machine learning. 5 - 10 years, in an analytics role, expertise in advance analytics (data science, Machine Learning, Cloud operation) with balanced technical knowledge, operational experience, and business acumen.
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Have experience in accounting, business, banking, finance, economics, or related fields (public policy, IT/cybersecurity, criminal justice, data analytics). We are a consumer protection agency and we support financial literacy education and programs benefiting residents across the Commonwealth.
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Our suite of services includes licensing and multimedia sponsorship management; publishing, audio, digital and social media; data analytics; ticketing, ticket sales and professional concessions expertise; branding; and campus-wide business and sponsorship development.
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Data and Digital Literacy Possesses knowledge of: Data collection modes, techniques, and tools; data analytics and data visualization tools and techniques; existing and upcoming digital applications and systems; technology innovation trends and industry benchmarks; and data governance.
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