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Working knowledge of programming skills in Python, R, or similar languages, with experience in data manipulation, analysis, and modeling libraries (e.g. NumPy, Pandas, scikit-learn, TensorFlow, PyTorch.
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Hands-on experience with analysis of large data sets, such as Community Reinvestment Act (CRA) and Home Mortgage Disclosure Act (HMDA) lending and deposit data is a plus. The CRA/Fair Lending Data Analyst will be responsible for assisting the Chief Compliance Officer, Senior Compliance Managers, and CRA Officer in the management of the bank's Fair Lending Compliance Program.
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The role will help leverage accelerators within OHIP's Medicaid Data Warehouse (MDW) Google-based AI platform by helping create new models, finding opportunities to use vendor accelerators, developing migration paths, and helping minimize time-to-market in the delivery of meaningful analytics for Medicaid related data.
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As the Enablement Data Scientist, Integrations & Partnerships, you will support DataRobot’s partnership ecosystem by developing, providing, and maintaining hands-on expertise in our technical integrations.
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The Data Architect/Engineer will be both responsible for overall functional & technical design but also governance, lineage, and data quality processes. The Data Architect/Engineer is a senior technical contributor responsible for the design, technical requirements, and evolution of Confluent’s cloud data strategy.
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The ideal candidate will have a hands-on mentality combined with a creative mindset, comfortable interpreting data and who can use analytics to deliver actionable insights and impactful recommendations that optimize revenue performance.
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Duties Description Support the Data and Analytics team in gathering, analyzing, and modeling Thruway data to empower department leaders to turn information into action and informed decisions.
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Experience or familiarity with Clinical Quality reporting, Medicare and Medicaid claims data, ICD, CDA, web- scraping, Electronic Health Record/Electronic Medical Record (EHR/EMR) Systems, Health Information Exchange (HIE)/Health Data Exchange standards, clinical data sets, health policy issues including public health, health care delivery systems, and other healthcare related data and data structures is required.
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Unwind the nuance of our data and the existing technical landscape (both across the enterprise and in legacy data artifacts) to understand implications for new project architectures and analytical reporting.
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The incumbent will work with diverse content experts to gather data/create visualizations and summaries from a variety of data sources that may include but are not limited to birth data, death data, hospital discharge data, immunization data, the American Community Survey, sexual health, HIV data, and other large statewide surveys as appropriate.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Integration Layer mapping using Boomi to map the data from each individual systems into the data lake for further processing. Consume Legacy LDW historical Data to the new DW Solution using IFS Analysis model or by building similar parallel system for one time transfer.
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Lead the selection and implementation of data governance tools and technologies to support data quality, metadata management, data cataloging and data lineage. Perform a current state assessment with Functional Data Owners, Data Stewards, and the IT organization to calibrate, discuss and identify a path forward to resolve Data Governance and Data Quality issues.
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7+ years of experience designing low voltage systems for high performing commercial, industrial, or mission critical/data center buildings. kW Mission Critical Engineering, a WSP company, is a high-performance, fast-paced consulting engineering firm designing data centers and mission critical environments across the globe.
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Solid understanding of Database Design Principles, Data Modeling and Data Warehousing including experience with SQL and NoSQL databases, Big Data technologies, industry leading Cloud Storage solutions, Business Intelligence platforms, dashboards, data mining and visualization tools (Power BI.
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Title: data Company: Cognizant in Albany, NY
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