Sr. Predictive and Inferential Analysts - #1410903
Texas Health Resources
Date: 2 weeks ago
City: Arlington, TX
Contract type: Full time
25005170
Texas Health Resources seeks Sr. Predictive and Inferential Analysts for Arlington, TX. Background check req'd. Send resume to HR, 612 E. Lamar Blvd., Ste. 400, Arlington, TX 76011 or apply online at www.texashealth.org/careers. EOE.
Sr. Predictive and Inferential Analysts: Provide leadership for performing data analysis including machine learning, sentiment analysis, context extraction, and actionable insights with data to propose operational and process changes; manipulate and join data from multiple sources into population set for comparative analysis using a SQL and No-SQL tool approach; build data sets to be used as training material for models utilizing Python, R, and SQL; perform model management including model scoring, metric collection, performance monitoring, and model retraining as necessary; translate business operations and problems into analytical questions and deliver analytic insights to stakeholders; communicate analytics methodologies to non-technical users; conduct program or project analysis using statistical techniques to prove or disprove efficacy of projects; plan and build efficient scalable models that can be automated for large scale data analyses, development, validation, and implementation through the use of Python/R files, Jupyter Notebooks, SQL files, and Tableau; deliver presentations to upper leadership on findings through graphical displays and data; and write statistical methodology and results for technical reports and publication.
Education Requirements: Master’s degree in Information Technology, Statistics, Data Science, Analytics or a closely related field.
Work Experience Requirements: Two (2) years of professional work experience in business analysis.
Alternative Requirements: Bachelor’s degree in Information Technology, Statistics, Data Science, Analytics or a closely related field and five (5) years of progressive professional work experience in business analysis.
Special Requirements: Undergraduate or graduate academic studies and/or work experience must have included machine learning, probability and statistics, data analysis, discovery, and visualization including real time data processing; business and system analysis and programming for data science with R, Python, SQL, Jupyter Notebooks, and Tableau; and data management including Big Data.
Additional Requirements: Background check required.
Texas Health Resources seeks Sr. Predictive and Inferential Analysts for Arlington, TX. Background check req'd. Send resume to HR, 612 E. Lamar Blvd., Ste. 400, Arlington, TX 76011 or apply online at www.texashealth.org/careers. EOE.
Sr. Predictive and Inferential Analysts: Provide leadership for performing data analysis including machine learning, sentiment analysis, context extraction, and actionable insights with data to propose operational and process changes; manipulate and join data from multiple sources into population set for comparative analysis using a SQL and No-SQL tool approach; build data sets to be used as training material for models utilizing Python, R, and SQL; perform model management including model scoring, metric collection, performance monitoring, and model retraining as necessary; translate business operations and problems into analytical questions and deliver analytic insights to stakeholders; communicate analytics methodologies to non-technical users; conduct program or project analysis using statistical techniques to prove or disprove efficacy of projects; plan and build efficient scalable models that can be automated for large scale data analyses, development, validation, and implementation through the use of Python/R files, Jupyter Notebooks, SQL files, and Tableau; deliver presentations to upper leadership on findings through graphical displays and data; and write statistical methodology and results for technical reports and publication.
Education Requirements: Master’s degree in Information Technology, Statistics, Data Science, Analytics or a closely related field.
Work Experience Requirements: Two (2) years of professional work experience in business analysis.
Alternative Requirements: Bachelor’s degree in Information Technology, Statistics, Data Science, Analytics or a closely related field and five (5) years of progressive professional work experience in business analysis.
Special Requirements: Undergraduate or graduate academic studies and/or work experience must have included machine learning, probability and statistics, data analysis, discovery, and visualization including real time data processing; business and system analysis and programming for data science with R, Python, SQL, Jupyter Notebooks, and Tableau; and data management including Big Data.
Additional Requirements: Background check required.
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