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Experience with Master Data Management and Data Quality processes and tools. - Propose and review architecture deliverables throughout the development process to ensure quality, security, and traceability aligned with enterprise data strategy.
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Understanding of modern data architecture and experience with core data services like maintaining data lakes, data warehouses, data marts and relational and dimensional modeling, data quality and master data management.
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Influence data collection best practices to help achieve desired data quality and data governance. Duties include gathering stakeholder requirements, designing and developing data pipelines (ETL), dataflows, queries and metrics, building visualizations, reports and dashboards, testing for quality assurance, deploying content, configuring user access and security, and training end users.
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Performs various analyses to ensure quality assurance of research findings (data quality, reports, etc. Ensures quality control of data and reports findings to federal and other agencies.
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Develop roadmap for data strategy for Quote to Cash leveraging processes and key tools (including BI, Data Engineering, Data Literacy, Data Governance, and Data Science.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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2+ years of experience as a data scientist or product analyst in a consumer-facing web or mobile app environment. About the opportunity:We are looking for a Senior Data Scientist to join our central data team and partner with one of our emerging product groups.
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Experience with Big Data platforms such as Databricks or Apache Spark. Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage.
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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Functionin a lead water process engineer role, as a technical specialist or as a subject matter expert in the areas of conventional water treatment using processes such as coagulation, clarification, softening, media filtration; and advanced water treatment processes such as membrane filtration, reverse osmosis (brackish, seawater), UV/AOP, ozonation, carbon adsorption, and/or distribution system water quality.
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Must also have demonstrated experience with each of the following: (1) Spring, SpringBoot, and ZK Java application development frameworks; (2) ReactJS, Tailwind, and JQuery front-end libraries; (3) Application data integration via secure Web Services and API integration via Mulesoft; (4) Health Information Technology standards and protocols, including HL7, CCD, IHE ITI, FHIR, clinical code systems (LOINC, SNOMED, ICD-10, etc.
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Integrate data from multiple scientific disciplines across the project (e.g., biology, chemistry SAR, pharmacokinetics and ADME, statistics, experimental medicine, and clinical study design) to derive plans and in interpreting outcomes.
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The team is centered on supporting US federal government, US state/local government, and higher education data, systems and regulatory obligations. Business Intelligence Data Reporting Analyst.
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You will partner with your peer leaders, QA leadership, TSMS leaders, Data domain leaders to support existing solutions, deliver the MQ digital transformation programs in Quality and TSMS. You will have a leadership role in coaching, development of resources, and staffing a global group.
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The Quality Director provides strategic, operational, and thought leadership to support OrthoIndy goals. The Director is responsible for the development, implementation, and execution of the Quality Assessment, Performance Improvement, Risk Management, Outcomes, Research, and Education programs.
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data quality jobs Title: data scientist in Indianapolis, IN
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