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You will collaborate with cross-functional teams to design and implement robust publish/subscribe solutions that leverage a bi-directional data exchange architecture using services such as AWS messaging services, Apache Kafka, and other FedRamp-authorized Cloud Service Offerings along with industry-standard protocols, enabling efficient and real-time data exchange using a hub-and-spoke framework within our software ecosystem.
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Observational Health Data Sciences and Informatics Postdoctoral Fellow. Demonstrated experience working with large observational health databases and/or medical claims data; This research will directly improve our ability to use real world data to characterize under-represented and marginalized patient populations, construct population level estimates relating exposures to health outcomes, and to enhance clinical decision making through improved patient-level predictions.
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The Healthcare Data Architect is responsible for building and maintaining robust data infrastructure for Health Plan Risk Adjustment, HEDIS, Quality, and Clinical to support strategic analytics and reporting used to drive business decisions.
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You will address complex challenges with sophisticated NLP, data-centric AI, and AI-based workflows, included in AI-enhanced data models, chatbots, or multi-agent systems supporting intricate processes.
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Bachelor’s degree required and master’s degree preferred in Biostatistics, Bioinformatics, Data Science, Computer Science, Genetics or related field. Working with Christine Lary's group in her lab at the Roux Institute, this position will involve the use of advanced methods in data science and epidemiology, including machine learning methods.
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Coordinate with teams within OHIM and from across DHHS to collect, process, and synthesize data that helps to inform and guide sound operational decisions and policymaking. Communicate data analysis findings in the form of technical reports, memos, and presentations to OHIM leadership, and DHHS and external stakeholders.
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2+ years of data warehousing experience (Redshift or Snowflake) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Senior Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Understanding of process research and design, which may be demonstrated through use of DevOps, automation, data mining, web scraping, or object-oriented software is preferred. Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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Exposure to data mining and web scraping. Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets and perform analyses.
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The ideal candidate will have a strong background in data analysis, data visualization, data engineering, and business intelligence. Experience with data visualization tools such as Tableau or Power BI.
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Superior knowledge of computer systems and methods utilized for data input, storage, and data flows to translate workflow information into specifications which meet the needs of the organization.
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Ability to work with various data management tools and technologies, such as data governance platforms, data cataloging tools, master data management systems, and data quality tools.
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Partner with ADUSA Communications and Commercial Systems & Analytics to drive stakeholder communication and training activities related to the importance of accurate, timely, and complete vendor master data.
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Title: data Company: Cognowiz in Westbrook, ME
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