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3-5 years of health care data interpretation, analysis, and reporting experience required, Clinical background with EHR experience (eClinicalWorks), Pharmacy point of sale systems, and/or population health management systems preferred.
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Proficient with Data Visualization/Modeling. Proficient with Tableau and other visualization tools like PowerBI, Looker, Qlik, Alteryx, Tableau Prep, etc. Data Warehousing and experienced with SQL Server, Oracle, DataBricks, Snowflake, etc.
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Experience with data science, machine learning, and/or artificial intelligence. Experience with cybersecurity data from SIEM, Endpoint, Network, Threat Intelligence. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
$118,300 - $213,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Visualization Engineer 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. Join our team as a Data Visualization Engineer 2 and revolutionize how we interact with data.
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Keywords: data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP, GenAI, Generative AI, large language models.
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We are seeking expertise in the following areas - candidates with wider skill range will have advantage: Cloud, Exadata, Real Application Clusters, High Availability, Data Guard, Recovery, ZDLRA, Performance, Memory Management, Database and Query tuning, Storage, ASM, Golden Gate, Security, Networking, Enterprise Manager etc.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Experience with Data Visualization tools such as Tableau, Looker or similar. As part of the Data Science and Analytics Team, the Sr. Data engineer will partner with Data Scientists, work hands-on with Big Data technologies and build scalable data pipelines/infrastructure to support development of health care propensity models.
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Experience with SQL, Tableau, Power BI or other data visualization tools. Develops high impact analysis that facilitates the transformation of complex data/information into actionable insights and recommendations.
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Conduct data analysis including data visualization, statistical analysis, and data modeling. Data analysis, data visualization, statistical analysis, and data modeling.
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Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Receive internal training on tools, technology platforms (Python, R, SQL, Excel) and modeling processes, learn how to apply theory to actual client project work, and hone business skills and applications of Data Science skills on business problems.
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Bachelor's Degree or equivalent in Environmental Science, Civil/Environmental Engineering, Geomorphology, or related field. Proficiency using GIS, including experience with geodatabases, collecting/importing/manipulating data, creating mapping, and using related field equipment.
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Working knowledge of Azure data platform – data factory, data catalogs, data lake, analytics, Azure storage options, Azure SQL, Cosmos DB, Azure DevOps, etc. Understanding of modern data architecture and experience with core data services like maintaining data lakes, data warehouses, data marts and relational and dimensional modeling, data quality and master data management.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS.
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data science visualization jobs Title: facilities manager in Columbia, MS, Pennsylvania
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