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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. Fraud Data & Analytics.
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Offer expertise relevant to statistical programming and CDASH data collection for study start up, execution, and close out: review protocols, draft CRFs; prepare and review validation plans, review vendor DTAs, etc.
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The Senior Quality Data Analyst is an experienced individual who may function as Lead and is responsible for abstracting and/or auditing a large volume of clinical case records, data, or other information for Clinical Data Registries, within established deadlines in support of quality assessment initiatives, performance improvement and patient outcomes research.
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An Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
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API: Provide the development, test, deploy, and sustainment of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as MariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.
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We are the global leader in sustainable solutions for evaporative cooling, thermal storage, and heat transfer equipment with headquarters located in Jessup, Maryland and manufacturing located in Madera, CA, Milford, DE and Dayton, TN. The SAP Master Data Analyst is directly responsible for the support of SAP Master Data at Baltimore Aircoil Company, which encompasses multiple manufacturing plants throughout North America.
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The Bloomberg Quant Platform (BQuant) is the frontier of our work – a platform for quantitative finance professionals to rapidly analyze data and research trading strategies. Product Manager - Quant Analytics & Data Solutions - CTO Office.
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The HMIS Manager and Data Analyst plays a leadership role in the coordination and evaluation of homeless services using the Homeless Management Information System (HMIS) and the Comparable Database for Victim Services, as required by the Continuum of Care of Homeless Services (CoC), under the leadership of the Office of Community Partnerships.
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Under minimal supervision gathers and analyzes clinical and financial data that assists with driving practice transformation, quality program compliance and improved patient care. Maintain a core understanding of population management, identifying patients that would benefit from population health services (patient outreach, appointments, care coordination) by using a variety of data sources Knowledge of practice transformation and the CMS Quality Payment Program, health care quality improvement concepts.
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Able to quickly capture business requirements and translate in solutions using process data historian (such as dataPARC, OSI-PI) configurations. Minimum of 8 years of experience with process data historian (such as dataPARC, OSI-PI) best practices and ability to develop and implement technical solutions.
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Support the development and test of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as mariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.
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The candidate will be involved in pre-mission support, data collection, analyst & evaluation, and report generation. The Data Exploitation Analyst participates in all phases of data collection, processing, and reporting at a customer site in Suitland, MD. The primary responsibilities of this role are to acquire, analyze, compile, evaluate, and review data for use in standard products, non-standard products, and/or data holdings in support of mission requirements.
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Using our proprietary solution set, GxFource, we apply machine learning techniques and predictive analytics tools as part of a broad artificial intelligence strategy that provides effective impact and data-driven business transformation.
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The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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Provide the development, test, deploy, and sustainment of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as MariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.
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data mining jobs Title: financial analyst Company: Penske Logistics in Fort Meade, MD
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