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Quality Operations at Mount Sinai Health System is responsible for clinical data registries and disease-based cohort databases that are used for the purposes of quality initiatives, performance improvement, and patient outcomes research.
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Assists staff with technical issues related to electronic and remote record keeping systems; trains staff to help improve quality of data collected. Assists in the development of data management plans and guidelines that will deliver accurate, timelines consistent with quality data.
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Analyze and interpret survey, maps, drawings, blueprints, aerial photographs, water quality data and other analytical data to plan and design water and waste water treatment facilities, storage tanks and pump stations.
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Skillfully compile and analyze analytical data, and promptly identify out-of-spec samples that do not meet our stringent quality standards. Work under the direct supervision of the Quality Control Lab Supervisor.
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This role will build teams to deliver highly performant and scalable data products and platforms to drive consumption of data from our enterprise data ecosystem, while driving data engineering best practices; lead, manage, and grow multiple high performing teams of product focused software & data engineers.
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Today, District is one of the largest variable data printing companies in the world as their facilities comprise over a million square feet of manufacturing space with a global reach that sets them apart in the digital printing market.
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Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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Conduct periodic reviews of reporting systems to identify discrepancies, incomplete data, and other data quality issues. Design and implement automated solutions for data normalization and taxonomy management using tools such as Python, R, SQL, and automation platforms.
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As a member of the EED-3 team, the Senior DevSecOps Systems/Software Engineer will build innovative tools allowing scientists and students alike to discover, transform, update and improve the quality of Earth Science data in the pursuit of solving a wide range of environmental and socio-economic issues.
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RRP maintains an integrated data warehouse that stores return data and taxpayer information for data mining, runtime scoring, scheme development and research. Praescient has extensive experience designing, developing, and integrating solutions for customers including the US Army, Special Operations Command (SOCOM), US Navy (USN), US Marine Corps (USMC), US Coast Guard (USCG), Department of Justice (DOJ), Drug Enforcement Administration (DEA), and Federal Bureau of Investigation (FBI), Immigration and Customs Enforcement (ICE), intelligence community, and local law enforcement agencies, among others.
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We are seeking an experienced Data Engineer (DataBricks) to join our team! Data Engineer (DataBricks) Define and build required capabilities to achieve the client's vision through improved data strategy and operations.
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Development and implementation of the overall project Quality Management Plans for the regional emergency radio communications system project and Fiber Optics Infrastructure and MBE project. Cultivate a quality-oriented culture by all WMATA and Contractor personnel.
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Quality Custom Distribution (QCD) is a wholly-owned subsidiary of Golden State Foods which is one of the largest diversified suppliers to the Quick Service Restaurant industry. Work effectively in a general business environment, with a focus on high levels of quality and customer service.
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Three or more years of experience as a marketing data analyst with a non-profit organization or an agency that provides direct marketing services to non-profit organizations. Must be proficient in the use of Microsoft Power BI desktop, with advanced knowledge and experience loading and transforming data within the tool, and writing and editing DAX programming.
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You'll grow your skills in data science, AI, machine learning, operationalization, predictive modeling, and more. As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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data quality jobs Title: data specialist Company: Pwc in Glenn Dale, MD
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