drjobs Sr. Predictive and Inferential Analyst

Sr. Predictive and Inferential Analyst

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1 Vacancy
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Job Location drjobs

Arlington, TX - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Education Requirements: Masters 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: Bachelors 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.

Texas Health Resources seeks Sr. Predictive and Inferential Analyst for Arlington TX. Send resume to HR 612 E. Lamar Blvd. Ste. 400 Arlington TX 76011 or apply online at EOE.

Sr. Predictive and Inferential Analyst: 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 NoSQL 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 nontechnical 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.


Required Experience:

Senior IC

Employment Type

Full-Time

Company Industry

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