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Demonstrated proficiency and advanced capabilities in programming and analysis using SAS/SQL/R/Python, encompassing: Data processing, extraction, and cleansing utilizing SAS, SQL, R, or Python Proficiency in SAS Macro language Application of statistical techniques to health-related clinical and economic data Generation of meaningful and easily understandable deliverables, such as descriptive data summaries, statistical tests, graphical representations, etc.
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Experience developing data engineering and Client pipelines in Databricks. " Build CI/CD pipelines for Client models, AI products and data engineering pipelines with an emphasis on automated testing, version control, documentation and monitoring.
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Strong understanding of data governance principles, data quality management, and data integration techniques. Establish processes and tools to monitor, assess, and improve the quality of master data, identifying and resolving data inconsistencies and anomalies.
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Collect and evaluate supplier quality data and performance metrics to manage the Supply Chain score card system. The Supplier Quality Engineer (SQE) position is responsible to develop positive, partner-oriented relationships with members of MCI's Supply Chain to continuously improve and monitor supplier performance through auditing and the application of quality tools and performance metrics.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Experience with data quality assessment and data validation techniques. We are seeking a skilled and motivated senior Real World Evidence (RWE) Data Scientist working in the area of Observational Health Data Sciences and Informatics (OHDSI) to join our dynamic team.
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Capital One, a Fortune 500 company and one of the nation’s top 10 banks, offers a broad spectrum of financial products and services to consumers, small businesses and commercial clients.
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The Senior Technology Engineer – AWS Data Lake is involved in the full technology life cycle and is responsible for designing, coding, configuring, testing, implementing and supporting Amazon Web Services data lake and analytics services.
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Proven experience with Data Modeling, Data Governance, ETL Design, MDM, Data Quality and BI visualization tools. -Proficient in Data modeling, DWH principles (Inmon and Kimball), SEI-CMM standards of quality assurance.
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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Assists clients through consulting and submission of Merit based Incentive Payment System (MIPS) and other healthcare quality data through Center for Medicare & Medicaid Services (CMS) and other Registry web portals or submission processes.
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As a Director, Data Scientist for Finance and Actuarial, you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other specialists to transform financial and actuarial processes by building state-of-the-art actuarial, financial, and behavioral models.
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MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.) Strong written and oral communication, data visualization, presentation, and interpersonal skills.
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Perform data gathering and extraction from NJIT's data systems for internal and external survey publications, federal data reporting systems, and ad-hoc institutional data requests.
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Externally, sustainability financial and performance data at the Mars Inc. level, inclusive of MW content, will be required to meet extensive regulatory reporting requirements and for voluntary disclosures in multiple major markets– with a particular focus on climate.
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data quality jobs Title: data scientist Company: Amazon in Roseland, NJ
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