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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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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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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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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.
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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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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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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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Experience using desktop applications and software used for data/statistical analysis, manipulation and visualization including Tableau, Python, R, SAS, SQL, is a plus. Experience using desktop applications and software used for data/statistical analysis, manipulation and visualization including Tableau, Python, R, SAS, SQL, is a plus.
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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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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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Knowledge of Business Analytics software (SAS/R/Python) and/or SQL, a plus. Degree concentration in Accounting, Business, Economics, Finance, Health Administration, Homeland Security, Management/Information Systems, Political Science, Public Administration, or Public Policy is preferred.
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Extracting and aggregating data from large data sets using SQL/Hive or Spark;Analyzing large data sets using Python, R, SQL and/or Spark;Generating and visualizing data-based insights in Tableau or Power BIMicrosoft Office software such as Word, Excel, PowerPoint and Teams;Jupyter notebooks, Python, or SAS;Data mining and statistical modelingAdditional InformationWorksite: Washington, DCThis is a hybrid position.
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