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Data Scientist / Data Visualization Specialist, Wpafb, Oh
Company | Fidelity Partners LLC |
Address | Patterson, OH, United States |
Employment type | FULL_TIME |
Salary | |
Category | Armed Forces |
Expires | 2023-08-15 |
Posted at | 10 months ago |
Data Scientist / Data Visualization Specialist
- Demonstrate a minimum of 3 years experience using Microsoft Office software programs including Word, Outlook, PowerPoint, Access, Excel, Visio, or SharePoint.
- Demonstrate at least 3 years of experience developing advanced data visualizations with tools such as Tableau, Tableau Server, Tableau Desktop, Tableau Prep Builder, Python / Matplotlib, or Power BI.
- Possess a minimum of a B.S. degree in data analytics, biostatistics, bioinformatics, business intelligence, epidemiology, statistics, computer science, or a related science or engineering field that emphasizes data processing, graphical data presentation, and programming.
- Demonstrate at least 3 years of experience analyzing and processing data sets using Python / Pandas, R, SQL, or related programming software.
- The government may consider an exception for education and/or experience requirements on a case-by-case basis.
- Demonstrate a minimum of 3 years experience using Microsoft Office software programs including Word, Outlook, PowerPoint, Access, Excel, Visio, or SharePoint.
- Possess a minimum of a Master of Science (MS) degree in data analytics, biostatistics, bioinformatics, business intelligence, epidemiology, statistics, computer science, or a related science or engineering field that emphasizes data processing, graphical data presentation, and programming.
- Possess at least 5 years of demonstrated experience supporting the Air Force or DoD in a medical/clinical, Public Health, or Occupational and Environmental Health (OEH)-related field in a government civilian or military capacity.
- Possess demonstrated experience using SQL for ETL (extract, transform, and load) tools and business intelligence (BI) reporting, data mining, and analytics tools across cloud-based data warehouses, operational databases and data lakes, as well as API-brokered data.
- Possess at least 5 years of demonstrated experience applying data processing and visual analytics tools and techniques to medical (clinical), Public Health and/or Occupational and Environmental Health data sets.
- Possess demonstrated experience with Software as a Service (SaaS) / Cloud-based platforms such as AWS Redshift (Dbvisualizer) or Databricks (Redash).
- Collaborate daily with U.S. Air Force School of Aerospace Medicine (USAFSAM) Occupational and Environmental Technical Operations (OET) on Public Health and Preventive Medicine Department (PH) integration within the Occupational Health OEH Analytics Portal. For the PH functions outside of the Occupational and Environmental Health (OEH) Analytics Portal the contractor will coordinate with U.S. Air Force School of Aerospace Medicine USAFSAM/PH and AFMRA/SG3PM for guidance and direction.
- Coordinate on a regular basis (or as requested) but not less frequently than monthly with the Air Force Medical Readiness Agency (AFMRA)/Surgeon General Aerospace Medicine Policy and Operations Division (SG3PM) customer to provide a summary of work accomplished and project future goals.
- Recommend alternate options and propose mockups for roll-up metrics, reports, and management tools to meet defined end-user needs.
- Support compilation and analysis of data, drafting of guidance and references, and
- Write, review, design and/or critique strategic, operational, and tactical level objectives related to informatics and knowledge management.
- Assess, design, and build workflows to integrate and process large data sets using Python/Pandas, R, Microsoft Excel, Tableau Prep Builder, and other relevant tools as appropriate.
- Build multiple advanced interactive visualizations using Tableau and other tools for use by medical and line personnel not skilled in data science and analytics.
- Participate in working groups with internal and external customers to understand, define, and map data processing and visualization requirements that fulfill end user needs.
- Explore and pursue opportunities to apply machine learning (ML), artificial intelligence (AI), and natural language processing (NLP) to enhance ability to categorize, process, and visually represent data.
- Recommend changes to underlying data sets and source reports to optimize workflows and data processing/visualization efforts.
- Outstanding career growth potential.
- Competitive Compensation package
- Comprehensive benefits including medical, dental and vision options.
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