Data Scientist I
Pope Air Force Base, North Carolina, United States; Lackland Air Force Base, Texas, United States
Full Time Mid-level / Intermediate Clearance required USD 112K - 208K * est.
Position: Data Scientist I
Location: Pope AFB, Lackland AFB
Work Environment: On Site
Status: Contingent Upon Award
Knowesis is looking for a Data Scientist I to support the United States Air Force.
To be eligible for this position, candidates must possess U.S. Citizenship without the need for sponsorship, both now and in the future. Applicants without proof of U.S. Citizenship will not be considered due to the position’s security clearance requirements.
The Job Duties and Responsibilities include but are not limited to the following:
- Support all project domains, providing consultation and assistance to supported units and staff to identify opportunities and methods for capturing data relating to programs and initiatives.
- Consult with program staff to collect, enter, clean, and conduct basic data manipulation and analyses, data mining, exploratory analysis, predictive analysis, and statistical analysis, and use scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions to include the utilization of the Human Performance Data Management System (HPDMS) (Smartabase).
- Proficiently utilize computers, software, and technologies and collect and report data in the HPDMS.
- Build and disseminate databases and spreadsheets designed to record and/or display project data, including troubleshooting and resolution of and within the HPDMS.
- Maintain dashboards to automate data analysis, identifying, interpreting, and presenting trends designed to record POTFF-related programmatic data.
- Assist the staff with survey design. Create, analyze, and report survey data.
- Provide consultation and assistance to supported units and staff to identify opportunities and methods for capturing data related to programs and initiatives.
- Work in consultation with program staff.
- Be able to use statistics/modeling tools and data visualization techniques to provide an accessible way to see and understand trends, outliers, and patterns in data to produce reports and presentations that accurately convey data trends supporting the mission.
- Prepare reports and presentations that accurately convey data trends and associated analysis.
- Provide technical guidance and assistance on various efforts, such as database implementation and/or refinement.
- Liaise and collaborate with government staff to accomplish assigned tasks.
Required Qualifications:
- Bachelor’s degree in quantitative science, social science, or a related discipline.
- Be able to read, write, and speak English fluently and clearly to communicate with all personnel effectively they will interact with.
- Possess excellent verbal, written, interpersonal communication, and presentation skills and shall be highly detail oriented.
- Possess sufficient initiative, interpersonal relationship skills, and social sensitivity to relate constructively to various contacts from diverse backgrounds.
- Be a self-starter and take initiative.
- Be Proficient with the suite of Microsoft Office programs, including Word, Excel, and Access.
- Prior experience using statistical software applications such as SPSS, SAS, and R.
Preferred Qualifications:
- Certification or documented experience with Human Performance.
- Experience working with Special Operations, athletics/sports, or other military settings.
Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data management Data Mining Data visualization Excel R SAS Security SPSS Statistics Survey data
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