Data Scientist (Supply Chain)

Data Scientist (Supply Chain)

Department: Department of Defense

Location(s): Philadelphia, Pennsylvania

Salary Range: $117284 - $152471 Per Year

Job Summary: See below for important information regarding this job.

Major Duties:

• Solving problems encountered in the gathering, conditioning, analysis, and integration of large and heterogenous volumes of data related to supply chain security risk assessments.
• Applying scientific methods, including but not limited to, decision tree analytics and probability to research and improve supply chain risk assessment processes and develop the associated models, policies, and procedures for DLA.
• Applying scientific methods, including but not limited to, game theory and statistical analysis to research and improve supply chain risk assessment processes and develop the associated models, policies, and procedures for DLA.
• Performing professional work in data science, artificial intelligence, system analysis, risk analysis, predictive analysis, complex computer simulation, program/project planning and controls, and other related areas.
• Providing technical direction, planning, and leadership to create and implement new agency data and supply chain risk assessment policies and processes.
• Formulating and developing sophisticated models and techniques for quantitative evaluation and assessment of supply chain risks and their effect on accomplishing agency and customer missions.
• Preparing comprehensive technical reports of completed assessments assuring adequate correlation of data, integration of all pertinent considerations, and substantiation of conclusions.
• Preparing, presenting, and defending project briefings/recommendations to senior government and commercial industry personnel.

Qualifications: To qualify for a Data Scientist (Supply Chain), your resume and supporting documentation must support both A and B requirements: A. Basic Requirement: Degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR Combination of education and experience, courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience. AND B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-13 level, applicants must possess one year of specialized experience equivalent to the GS-12 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: Applying programming languages such as Python or R to perform advanced statistical analysis, machine learning, model development, or simulation. Serving as a senior data analyst to manipulate and transform large, complex datasets utilizing query tools, and to develop risk assessment models/methods. Developing predictive or prescriptive models using machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Creating analytic dashboards, visualizations, or decision-support tools using Tableau, Power BI, or similar platforms. Using version control systems (e.g., Git) to manage code repositories and collaborative analytical projects. Demonstrating expert knowledge of standard and innovative data science, artificial intelligence, system analysis, risk analysis, predictive analysis, complex computer simulation, program/project planning, and controls techniques. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

How to Apply: This job will close when the agency has received 100 applications, which may be sooner than the closing date. To apply for this position, you must complete the online application and submit the documentation specified in the Required Documents section below. The complete application package must be submitted by 11:59 PM (EST) on the closing date to receive consideration. To begin, click Apply Online to access an online application. Follow the prompts to select your USAJOBS resume and/or other supporting documents. You will need to be logged into your USAJOBS account or you may need to create a new account. You will be taken to an online application. Complete the online application, verify the required documentation, and submit the application. NOTE: Resumes up to a total of two pages will be accepted. Your resume must not exceed two (2) pages. If your resume exceeds the two-page limit, you will be removed from consideration for this announcement. You will receive an email notification when your application has been received for the announcement. To verify the status of your application, log into your USAJOBS account, https://www.usajobs.gov, select the Application Status link and then select the More Information link for this position. The Application Status page will display the status of your application, the documentation received and processed, and your responses submitted to the online application. Your uploaded documents may take several hours to clear the virus scan process. To preview the questionnaire, please go to https://apply.usastaffing.gov/ViewQuestionnaire/12860177.

Application Deadline: 2026-01-12