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Must have experience using various Geospatial tools such as Arc GIS, Excel, SPSS, SAS, MatLab, R, or other statistical packages, to analyze and visualize operational data; visualize data both temporally and spatially to assist in data integrity checks, prepare analysis, develop next level queries, prepare presentations materials, and display analytical assessments for senior leadership.
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SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Principal Data Scientist.
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Advanced SAS and SQL knowledge (needed), R, Python, QRM (optional) They typically support multiple bank functions including underwriting, loss forecasting - including stress testing (HCR/DFAST) and reserve calculation (CECL/IFRS), portfolio management, and balance sheet management.
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Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA) Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data.
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Strong programming skills in SAS, R, Python, and other statistical software packages. Advanced knowledge of statistical methods for evaluating in vitro and in vivo studies, assay development and characterization, biomarker discovery, digital biomarkers, etc.
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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Superior computer skills are required, with knowledge in relevant software packages and languages such as, but not limited to, SAS, R, Python, SQL, Java, and. ● Prior experience with R, SAS or SPSS, other data mining tools, databases, and computer programming.
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4+ years of experience with scientific scripting languages (e.g., Python, R, SAS), as well as big data frameworks such as Hadoop MapReduce. Experience with Microsoft Azure, Google BigQuery and/or AWS cloud platforms.
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NorCal (Napa, Sonoma) Master's Degree MA/MS degree in Healthcare, Engineering, Mathematics, Statistics, Epidemiology, Business, Data Science, Computer Science, or related field. Southern California, NorCal (Humboldt.
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Knowledge of Data Science & programming such as Python, R, SQL, SAS, Java, Experience with Data Warehouse and ETL solutions such as SQL Server, Snowflake, Azure, Databricks, Informatica, or similar.
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Proficient in programming languages such as Python, R, SQL, and SAS. Proficient in programming languages such as Python, R, SQL, and SAS. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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SQL, SAS, R, Python, Tableau Or Other Related Experience. Minimum four (4) years’ experience in the application of business analysis or data management and analysis tools including but not limited to, SAS, SQL, AQT, Tableau, and PowerBI required.
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Advanced knowledge of Excel and extensive experience with and proficiency in statistical computing software or data analytic environments (e.g., SAS, SPSS, Stata, SQL/NoSQL databases including ETL, Python, R, Tableau), including the ability to analyze large and complex datasets for patterns and trends, and build statistical models.
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Experience in data access tools, such as SAS, SQL, Python, and R. Healthcare Fraud Investigator (AHFI), Health Care Anti-Fraud Associate (HCAFA), Certified Insurance Fraud Investigator (CIFI), Certified Financial Crimes Investigator (CFCI), Certified Fraud Examiner (CFE), Certified in Healthcare Compliance (CHC), or similar certifications in medical auditing or clinical coding such as CPC, CEMA, or CPMA preferred.
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