DATA SCIENTIST

Full Job Description

Defense Finance and Accounting Services (DFAS) mission is to lead the Department of Defense (DoD) in finance and accounting by ensuring the delivery of efficient, exceptional quality pay and financial information.

This position is being filled under the Direct Hire Authority for Certain Personnel of the Department of Defense via delegated authority by the Office of the Secretary of Defense.

We reserve the right to close this announcement early or to extend, as appropriate, based upon the needs of the Agency.

Qualified application packages may be referred to management at various points in the selection process depending on the number and timing of applications received.

Selections may be made at any point during the announcement open period. This position has a positive education requirement.

To qualify for this position you must meet one of the basic requirements described below: A. Degree: 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 B.

Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

You MUST send proof of education or of certification to be considered for this position.

Click here for more information on who must submit documentation at the time of application and what documentation is acceptable: Transcripts and Certifications.

In addition to meeting the basic requirement, qualified applicants must possess one year of specialized experience equivalent to the next lower grade (GS-12) in the Federal service, which demonstrates the ability to perform the duties of the position.

Specialized experience is defined as: Developing data models for evaluation, identification, collection, and analysis of all data used to support projects or programs; selecting the appropriate data collection techniques for program analysis from various sources; collecting and analyzing data, and displaying data for analysis to draw conclusions.

Volunteer Experience: 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 to paid employment.

You will receive credit for all qualifying experience, including volunteer experience.

You may qualify for consideration if meeting time-in grade, specialized experience, education requirement, 90 days after competitive appointment requirement, and all other qualification requirements within 30 calendar days after the closing date of the announcement, unless otherwise indicated on the announcement.

Major Duties:

• Utilizes department’s business, financial, and accounting data assets to develop raw data into clean, useable format to perform statistical analysis on patterns, trends, and anomalies within business intelligence tools such as Microsoft Power BI.
• Develops, constructs and performs a number of complex and systematic data analytics projects, reconciliations, and studies throughout the enterprise.
• Generates actionable insights applying advanced statistical techniques, for example, predictive statistical models and simulations, segmentation analysis, customer profiling, analysis, survey design, and data mining.
• Utilizes communication skills to interface, collaborate, and prepare presentations for project stakeholders, leaders, and senior executives. Prepares and delivers briefings regarding the progress and/or results of projects/studies.
• Ensures all analytics efforts are conducted in accordance with information security best business practices.