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3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies 2+ years of experience with AWS services supporting data science and analytics (EC2, S3, RDS, Lambda, Sagemaker, Glue) 2+ years of relevant working experience in an analytical role involving data extraction, analysis, and communication of findings 2+ years of experience in building and maintaining CI/CD tooling (Jenkins, Bitbucket Pipelines, GitHub.
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Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access; Demonstrating proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy. Experience applying econometrics/statistics, predictive modeling, simulation, and data visualization methods to support the development of health policy.
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Provides subject matter expertise on statistical techniques, data mining, visualization and analysis, and is accountable for ensuring that analytics are timely, accurate and optimally prioritized to best meet business needs.
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Knowledge of data mining, machine learning, data visualization and statistical modeling. The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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NGEN-R SMIT is the largest IT services program for the Navy, by delivering the OCONUS Enterprise Network (ONE-Net); inclusive of cybersecurity services, network operations, service desk, and data transport.
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The Healthcare Data Quality Analyst/SAS Programmer (known internally as the Healthcare Data Specialist) is primarily responsible for ensuring the accuracy, completeness, and quality of healthcare claims data that RxAnte receives from health plan clients.
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The Defense Group of Leidos has an exciting opportunity for a Senior Systems Administrator to support efforts for the OCONUS Enterprise Network (ONE-Net) portion of the NGEN-R Service Management, Integration, and Transport (SMIT) contract located in Guam.
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Broad experience desired, but not essential, in multiple domain areas, such as data warehousing, business intelligence (BI),data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks.
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Analytics Expertise: Serve as a subject matter expert across our solutions offerings such as database marketing, marketing campaign reporting, investigative descriptive analytics, and propensity modeling while leading and individually contributing to analysis tasks including Excel, R, SQL, Python, and SAS.
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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Assists with cardiovascular invasive procedures such as; R & L heart catheterizations, PTCA, intra-aortic-balloon pump, permanent/temporary pacemakers, AICD, electrophysiology studies, pericardiocentesis, peripheral arteriograms and angioplasty, etc.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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r data mining jobs Company: Ey in Washington, DC
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