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Assist with data collection and tracking to meet funder requirements and internal program monitoring and evaluation. Proficient in Microsoft Office applications (Word, Excel, Outlook); ability to use the internet and other digital tools for data entry, research, and to support clients' digital literacy.
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With the unique CareVio data-powered care coordination service and a focus on population health and value-based care, ChristianaCare is shaping the future of health care. Collects data on the effectiveness of simulation for student learning, critical thinking, and clinical decision making.
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Experience or desire to work collaboratively in multi-functional teams with design, product, data science, and research partners. Experience with Big Data technologies (Hadoop, Hive Spark, Presto, Flink, Kafka.
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BS or MSc in Computer Science/Data Science. Maintain expert level of knowledge in communications technology, and industry protocols for integration of data into transmission EMS/SCADA. Manage the network communication between company’s application and customer devices.
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Experience in building data quality, master data management, or data governance solutions. Strong hands-on experience in data warehouse technologies on modern platforms like Snowflake, Azure, etc.
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Manage data migration from on-premises Teradata environments to AWS cloud-based Teradata instances. Develop and maintain ETL (Extract, Transform, Load) processes for data integration and transformation.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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As a part of Johnson Controls’ Data Center Solutions business unit, Silent-Aire is on the forefront in the creation of new and exciting products to support the data center industry. We are a diverse, upbeat, creative, team-oriented group of technicians, engineers and managers working on a daily basis to develop data center cooling equipment that is changing the face of the data center facility.
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Skills: MarTech tools / knowledge, Adobe Analytics, Fullstory, Qualtrics, Microsoft Power BI, customer and network data, Digital Data Analytics, Adobe Audience Manager (DMP) This candidate needs to use data analytics & modeling skills to analyze digital, operational, session replay, VOC, customer call center, and other data sources to deliver Insights that will improve digital experiences at UPS. He/She will need to understand how audiences are created in Adobe Audience Manager (DMP), and how to leverage these audiences for robust Insights.
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Profound expertise in Data science, data engineering, statistics and machine learning technologies. Proven experience with data visualization tools and capabilities such as PowerBI, Grafana, or Spotfire.
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6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment. SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI.
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Scribes receive extensive on-the-job training in clinical workflows, value-based medicine, preventative care for chronic conditions, accurate and specific documentation, population health data streams, and team based care.
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This is rooted in EY’s SAP service line capabilities (Supply Chain, FICO, BPC, Data & Analytics, Customer, Tech/Arch and SuccessFactors) that are focused on helping clients improve performance and increase productivity.
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Implement data governance and master data management principles across specific project execution. Has extensive experience with Tableau or similar data visualization tools. Exhibit wide latitude in aligning Supply Chain stakeholders and IT to translate business logic into scalable data and analytic solutions on complex projects.
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Solid working knowledge in data science and machine learning. Conduct qualitative and quantitative analyses and modeling of complex operational and management problems using techniques such as advanced analytics, mathematical modeling, mathematical programming, heuristics/meta-heuristics, network analysis, data mining, predictive modeling, machine learning, and/or simulation.
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data science jobs Company: Oracle in Atlanta, ND, France
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