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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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Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Visualization Tools: Libraries like Matplotlib, Seaborn (Python), ggplot2 (R), or tools like Tableau, PowerBI.
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Proven experience with data science/advanced data analytic techniques, such as using python, R, or other scripting languages. The Leidos National Security Sector (NSS) is seeking an Open Source Intelligence (OSINT) Collector to provide collection and exploitation of publicly-available information (PAI.
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3-5 years of professional experience programming statistical analyses in SPSS, Stata, Python or R (Python and R highly preferred) Build scalable and reproducible work in Python or R including data ingestion, quality checks, cleaning, analysis, modeling, and output.
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Proficiency with query languages such as Python, R, SQL, or SAS, mechanics, implementation, and impact modeling- Preferred. Partner with Evolent Care Partners (ECP’s) Growth team to evaluate new payors and providers; Support negotiation of value-based contracts with payors, providers, and vendorsLead quarterly compliance testing and accounting recommendations for dedicated Value Based Care (VBC) contracts.
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BONUS EXP: Advanced skills in Excel, SQL, R, Python. Decoded services regional clients like T-Mobile, Estee Lauder, Molson Coors, and Kraken from its offices in New York, Los Angeles and Toronto.
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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.
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2+ years of experience in Azure Cloud technologies e.g., ML/OPS, ML Flow, Azure Data Factory, Azure Function, Data Bricks, Event Hub, Microservices/API, Python/PYSPARK/R, or SQL. Build and train Machine Learning models using Azure and Databricks technologies.
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Advanced skill and ability in the use of data analysis programs (e.g., R, Stata, Python, SPSS, SAS) and widely-used software applications, including word processing, spreadsheets, slide presentations, e-mail, and scientific data portals.
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Advanced Analytical Skills : Proficiency in using advanced analytical and data visualization tools such as SQL, Python, R, or business intelligence platforms like Tableau or Power BI. Ability to analyze complex datasets to derive insights and inform business decisions.
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Experience working with Python, R, SQL, and Spark for Big Data Analytics. Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML. Experience building ML/NLP models in Azure Databricks and RStudio.
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Present data findings and recommendations to clients and stakeholders using your knowledge of databases, business intelligence tools, including Qlik and Tableau, scripting languages such as SQL, Python, and R, and the Microsoft Office Suite.
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Advanced user of spreadsheet software (e.g. MS Excel), statistical tools (e.g. R, Python), and data visualization tools (e.g. Tableau, Power BI) to create data visualizations (charts, tables, infographics, presentations, and other visual productions) that help audiences understand results.
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5 + years of extensive knowledge and experience in the Data technologies for Data Analytics, Data Warehouse, Data Mart, BI, Big Data (Hadoop, HBase, Hive), N, JDBC, SQL, Java, Python, R.
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Strong proficiency in SQL and moderate proficiency in other data manipulation and analysis languages (Python, R, Scala, Java, etc. Experience with cloud data management platforms and architectures (e.g., Snowflake, Databricks, AWS data & analytics tools, etc.
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