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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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Display analytic results in text and visually using appropriate data science, business intelligence, and visualization tools, such as Python, R, SQL, Tableau, PowerPoint, Excel, and communicate results to client audiences at all levels with presentations and briefings.
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Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Preparing and modeling data in SQL, Tableau, and/or Qlik.
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Leverage a broad set of modern technologies - including Python, R, and Spark - to analyze and gain insights within large data sets. Advanced skill in Python and R. Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Hands-on experience with other statistical programming or scripting languages (R, SPSS, Stata, Python, SQL). Master’s degree in Survey Research/Methods, Statistics, Biostatistics, Epidemiology, Public Health, Mathematics, Data Sciences, or other relevant statistical or social science field.
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Technology Tools: AWS, Open Search and Python Data Science tools. Technologies to know: Statistical Tools may include: SAS, R, SPSS, Matlab, Mahout/MADlib, Stata. Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master.
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Experience in data access tools, such as SAS, SQL, Python, and R. Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service (FFS), Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System (T-MSIS), or Prescription Drug Event (PDE) data.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Experience with analytics tools like SAS, R, Python, and other advanced statistical software. The consultant will partner with our customers to understand and solve their data integration pain points with MarkLogic-based data management, search and analytics solutions.
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8+ years of experience using SAS, R, Python, or SQL in a research, consulting, or business environment. Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Strong programming experience in Java and Python/R. Familiarity with SAS and with tools available in the AWS/Cloud environment. Develop, implement and test components using Java/Python/R of financial models, algorithms, cash flow simulations and pricing/risk metrics calculations in end-user or production computing systems for use in business decisions, financial and regulatory reporting and risk management.
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Significant experience programming in SAS, R, Python or other language. Support quarterly CECL process, managing data improvement and validation, and assisting CECL reserve determination preparation.
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Basic coding knowledge and experience in several languages for example: R, Python/ Jupyter, SAS, Java, Scala, C. 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.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today
python r data jobs Company: Ey in Mclean, VA
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