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Proficient in project software such as SAS/SQL, Python/PySpark, Snowflake, R, Databricks CMS cloud environments. 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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Design and maintain internally-used mainframe tools (e.g., zSecure, CARLa, ETF/R, various REXX Execs, EasyTrieve programs, some number of Cobol programs, SAS programs, SQL inquiries via SPUFI.
$95,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Management Analysts (Data Management, Data Governance, Data Quality, Test Data Management, Data Architecture, Data Security, Programing (SQL, JAVA, Python, R), Data Analysis Software (e.g., Excel, SAS, SPSS), Knowledge of Database Query Language (e.g., SQL), Report Creation and Data Visualization (Tableau and R Studio) , Understanding of Statistical Methods and Techniques to Analyze Data.
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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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At least 6 months of experience with either Python, R or SQL. Current PhD - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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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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Experience in data access tools, such as SAS, SQL, Python, and R. Accredited Healthcare Fraud Investigator ( AHFI ) , Health Care Anti-Fraud Asso cia te ( HCAFA ) , Certified Insurance Fraud Investigator ( CIFI ) , Certified Finan cia l Crimes Investigator ( CFCI ) , Certified Fraud Examiner ( CFE ) , Certified in Healthcare Compliance ( CHC ) , CPC, CEMA, or CPMA certifications.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in common Geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Benefits: R Java Python REST SQL NoSQL Tableau Azure Big Data storage TITLE: Big Data Architect IT Consultant MasterLOCATION: Washington DC/ Onsite MINIMUM EDUCATION: Bachelor’s degree in IT, related field, or equivalent experience.
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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively.
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Proficiency in common geospatial software applications and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, Large Language Modeling, Sagemaker, R, Git, Tableau, Collections, Databricks, Hue, Knowi, Kabana.
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Programming languages may include—but are not limited to—SAS, Python, R, SQL, Java, or MATLAB. Programming languages may include—but are not limited to—SAS, Python, R, SQL, Java, or MATLAB.
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As a valued colleague on the Capital Markets Pricing and Valuation team, you will assist with supporting the team valuing Fannie Mae’s Asset and Liability portfolios using financial industry knowledge, applying mathematical/fixed income models to business or financial data, and advanced tools or techniques (such as SQL, Python, and R.
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Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.) Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.
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Mastering Cutting-Edge Tools: Including, but not limited to, Excel, PowerPoint, R, Python, SQL, Tableau, and Shiny. Has experience using reproducible approaches (e.g. R, Python) to analyze data and is comfortable using Excel and PowerPoint to create powerful data-driven narratives.
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