Data Scientist

Job Overview

This announcement will be accepting candidate submissions until 26 September 2025.

OPEN TO CURRENT AFRL CIVILIAN EMPLOYEES ONLY.

The Occupational & Environmental Health Department, Technical Operations Division is seeking to hire a mid-level Data Scientist.

Position Duties include, but are not limited to:

• Principal responsibilities to develop/modify new methods, approaches, or scientific knowledge to solve challenges. 

• Must apply knowledge of science/technology to analyze and resolve multifaceted issues/problems with minimal guidance and consult appropriately to develop objectives, priorities, and deadlines.

• Incumbent must plan and carry out work that is well aligned with organizational goals.

• Must present complex information, concepts, and ideas in a clear, concise, well-organized, and timely manner. 

• Must demonstrate effective speaking skills for advanced briefings, tailoring presentations to facilitate understanding. 

• Identifies and advocates for resources necessary to support and contribute to mission requirements. 

• Demonstrates knowledge of corporate processes by effective application of resources. 

• Incumbent will engage others in using resources more efficiently and suggest innovative ideas to optimize available resources. 

• Implements the development and transition/transfer of technology solutions, within or beyond own organization, based upon awareness of customer requirements. 

• Evaluates and incorporates appropriate outside technology to support research and development. 

• Works collaboratively with others in a dynamic environment, demonstrating respect for other people and alternative viewpoints.

Telework

Yes, this position is eligible for situational telework; as determined by agency policy

Eligible for a Referral Bonus?

No

Required Qualifications

• Recruitment incentives may/may not be authorized.

• United States Citizens

• Males must be registered for Selective Service, see www.sss.gov

• Must be able to obtain and maintain a Secret Clearance.

• This position may require travel.

• Possess a B.S. degree in mathematics, statistics, computer science, data science or field directly related to the position or a combination of education and experience with courses equivalent to a major field of study (30 semester hours) in mathematics, statistics, computer science, data science or field directly related to the position, plus additional education or appropriate experience.

  • Education https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/

• Must have at least one year of specialized experience at the DR-01/GS-11 or equivalent grade level.  Specialized experience is experience providing the capacity and skills for working independently, leading collaborative events, working in teams and using these approaches to find and solve complex problems.

Desired Qualifications

• Knowledge of Air Force operations, objectives, principles, and methods

• Possess excellent verbal and written communication skills.

• Ability to multitask with strong organizational skills and work independently without extensive supervision.

• Knowledge of management and organizational principles and practices.

• Strong leadership to mentor and develop other military and government civilian personnel.

• A M.S. degree is desired, but not required, 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.

• Posses over 5 years of experience supporting Air Force or DoD medical, clinical, Public Health or Occupational and Environmental Health initiatives in both civilian and military settings. 

• Over 5 years of experience applying data processing and visual analytics techniques to clinical and OEH data sets using tools such as (Python, Pandas, Matplotlib, R, SQL, Tableau (Server, DeskDesktop, Prep Builder), and Power BI.

• At least 3 years of experience in developing advanced data visualizations, performing data analysis, and executing ETL processes across cloud-based data warehouses and operational databases.
• Proficient in Microsoft Office tools including Excel, Word, Outlook, PowerPoint, Access, Visio, and SharePoint.

• Demonstrate experience with Software as a Service (SaaS) / Cloud-based platforms such as AWS Redshift (Dbvisualizer) or Databricks (Redash)

• Able to manage projects to ensure all phases are completed expertly and in a timely manner.

   

Requisition Number 65485

Series

1560