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Data Engineer, Technology Consulting, Financial Services Office (Manager) (Multiple Positions), Ernst & Young LLP, Tampa, FL. Collaborate to deliver solutions utilizing leading big data platforms and cloud technologies (, Azure, Databricks, GCP, Cloudera, etc.
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Able to operate instruments required for the collection or distribution of survey data (total station, data collector, GPS). Downloads and uploads survey data to the proper files in the computer network or field data collector.
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The College of Social Sciences, Mathematics and Education offers rigorous, high-quality undergraduate curricula in Actuarial Science, Computer Science, Criminology and Criminal Justice, Data Science, Education, History, International Studies, Mathematics, Political Science, Psychology, and Applied Sociology.
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The Inspection Underwriter will have a thorough understanding of Orchid's strategies, underwriting and will use internal and external data to make appropriate portfolio risk decisions. Manage diary system within Orchid's data management system to ensure inspection reviews and inspection follow-ups are completed within carrier guidelines.
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You will be responsible for working closely with our big box retail partners and their Shop-at-Home program leads to close sales for custom shutters, blinds, and shades. Valuable hands-on experience with big box retailers: focused on selling and customer service.
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Required Skills Qualifications Must possess a current U.S. Government Top Secret security clearance with SCI eligibility (TS/SCI) Must be able to obtain a CI polygraph Advanced formal training in Geography, remote sensing and/or earth science/physical science, data science or engineering/mathematical disciplines Demonstrated Intelligence Community experience leading an integrated team of professionals to address Key Intelligence Questions by introducing documented analytic methodologies.
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Responsibilities: Lead and grow a team of water resource professionals and support staff Manage project delivery and meet client expectations Perform water resources assessments Analyze and interpret water and environmental resources data Develop and review models (e.g., hydrologic, hydraulic, hydrodynamic, hydrogeologic, physical habitat, etc.
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At least five (5) years of experience at the postdoctoral and/or research scientist (or equivalent) levels in data analysis, data quality, business analysis, information technology, quantitative and/or qualitative research, or degree-related field required.
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Assist with preparing environmental survey reports, data entry, impact assessment, and assist with permitting activities for assigned projects (e.g. Endangered Species Act, Clean Water Act permitting, CEQA, NEPA, etc.
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Data Management: Utilize big data processing software to collect, collate, and organize healthcare data efficiently. PaceMateLIVE ® is the only cardiac remote monitoring platform offering integration with all EHRs and all cardiac device types in one dashboard, providing all patient data live from day one, and enabling intelligent patient prioritization with its unique Auto-Triage™ feature that focuses on the actionable first.
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Ability to use a computer and enter data in electronic medical record system, preferably eClinicalWorks. With 100+ locations and over 400 OB/GYNs and specialists across the country, Women’s Care provides comprehensive patient care in obstetrics, gynecology, gynecologic oncology, urogynecology, gynecologic pathology, breast surgery, genetic counseling, maternal fetal medicine, laboratory services, and fertility.
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Vector Media started with a vision to break the traditional OOH advertising mold by elevating transit advertising into a creative and data-informed medium. Driven to taking on the challenges of the job role, no matter how big or small.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Work with onsite and offshore resources for the development and implementation of complex workflows and mappings using AWS cloud-based Enterprise Data Platform, Python, Informatica ETL, Unix shell scripts to satisfy the business requirements.
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Competence in using a variety of ERP (e.g. SAP) Intermediate skills in the use of Microsoft Suite, SQL, Python, PowerBI, as well experience with Data Integration or ETL tools (Alteryx, Databricks.
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big data jobs Company: Ltimindtree in Tampa, FL
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