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Collects data, such as, Arterial Blood Gas (ABG) readings, Electrocardiogram (ECG), Hemodynamics, laboratory values and patient history to fully understand reason for adjusting patient's life support equipment.
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As part of our Data Governance, Quality and Operations team, you'll focus on using advanced frameworks, data integration and machine learning tools to deliver scalable data operations while establishing trust and integrity in data at the point of use.
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Created by healthcare, for healthcare, we have a dedicated focus on our people and customers, as well as providing tools, processes, support resources, data analytics and insource strategies that drive results.
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Experience using cloud-based services and resources (e.g., AWS, Azure, Google cloud) and distributed data and computing tools: Snowflake, Data Bricks, Spark, Map/Reduce, Hadoop, Hive, MySQL, etc.
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Experience:*Eight (8) years progressively building a background in the various philanthropic functions, preferably in higher education, including at least five (5) years in donor data maintenance, donor support and stewardship, gift administration or advancement services.
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The Data & Analytics department in Legal and Compliance is responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like reinforcement and deep learning as well as graph analytics.
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Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, PostgreSQL database administration, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.
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You will have a deep understanding of the Sportsbook industry and a strategic mindset to lead the development and execution of our sports data acquisition strategy and roadmap. Collaborate with vertical leaders of Sportsbook, DFS, and Pick6 to understand content roadmaps and ensure the availability of the necessary sports data for upcoming launches.
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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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Lead, design, develop, maintain, administer, and support ongoing needs of enterprise business intelligence platform, including the dashboard development, data warehousing data model development, extract transform load(ETL) activates, and reporting and analytical development.
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Lead and manage the full lifecycle of data science, starting with the engineering of the data model to serve as the foundation. Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Familiarity with data science tools such as scripting, scraping, processing, and visualization is a plus! Contribute reporting to the weekly publication news cycle: Produce reported filings and features on a regular cadence, pitching and reporting stories as they get assigned via the news editor and content director.
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Knowledge of data governance, security, and data privacy regulations. Architecture Design: Create innovative and robust architectures leveraging the latest on prem and cloud technologies to power transformative, data-driven products.
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Create an integrated concept of operations for various aspects of a data governance program using Federal and commercial best practices, including the Federal Data Strategy and Federal Enterprise Architecture Framework.
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data job Title: operations lead Company: Toast in Catonsville, MD
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