Defense Finance and Accounting Service logo

LEAD COMPUTER SCIENTIST

Part-time

Defense Finance and Accounting Service

MULTIPLE LOCATIONSFull-time / Part-time / TemporarySeen 1w agoSeen in employer's feed 2 days ago

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At a glance

Compensation
No compensation found
Location
MULTIPLE LOCATIONS
Schedule
Full-time / Part-time / Temporary
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Secret clearance

Job overview

The Defense Finance and Accounting Service seeks a lead computer scientist to serve as a senior technical authority and team leader. The role leads research, design, development, and integration of AI and machine-learning solutions, and performs advanced work on AI/ML-enabled products and systems. It also guides workload distribution and evaluates experiments and models to recommend technically feasible solutions.

Skills & qualifications

RequiredNice to have

Skills

Computer Science TheoriesModelingComputer System ArchitectureSoftware OrganizationComputing Application DesignComputing Application DevelopmentComputing Application ResearchComputing Application TransformationComputing Application IntegrationInformation Systems StructuresArtificial IntelligenceCloud ComputingLarge Language ModelsSmall Language ModelsOpenAI

Qualifications

Bachelor's in Computer Science or Related CourseworkOne Year Specialized Experience

Benefits

Relocation Assistance
Medical Insurance
Vision Insurance
Dental Insurance
401(k) Match
Paid Time Off
Tuition Assistance

Full job description

Summary 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. Responsibilities Serves as a senior technical authority and team leader for a group of professional Computer Scientists. Leads the research, design, development, and integration of Artificial Intelligence (AI) and Machine Learning (ML) solutions, ensuring the delivery of high-impact, efficient, and effective services that support the comprehensive DFAS mission. Guides the team in identifying, distributing, and balancing workload and tasks among employees in accordance with established workflow, skill level, and/or occupational specialization. Performs advanced professional work involving the research, development, testing, prototyping, integration, and improvement of AI/ML-enabled products, services, and systems. Conducts complex experiments, analyzes experimental results, develops predictive or classification models, evaluates model performance, and recommends technically feasible solutions. Requirements Conditions of Employment Qualifications 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.. Human Resources will determine your qualifications for each entry grade level based on your interest and the additional following criteria. Resumes for federal government positions need more detailed work descriptions and accomplishments than a typical private sector resume. Please be sure to clearly describe this in your resume. Combinations of education and experience may also be sufficient. BASIC REQUIREMENT: Bachelor's degree in computer science "OR" bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions. Make sure the response you select is supported by your resume and transcripts. NOTE: You must submit copies of your transcripts, failure to provide transcripts may render you ineligible for the position. In addition to the Basic Requirement: One year of specialized experience equivalent in level of difficulty and responsibility to that of the next lower grade (GS-13) in the federal service, which demonstrates the ability to perform the duties of the position, is required. Specialized experience is defined as: Experience in computer science theories, modeling, design, research techniques, computer system architecture, and software organization, including a variety of design, development, research, transformation, and integration of computing applications and information systems structures related to Artificial Intelligence (AI) enabled capabilities, products, and systems; experience with Cloud computing best practices and architectures, and Large and Small Language Models, as well as OpenAI. 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. Education Additional Information Moving expenses may be paid. Telework availability will be based upon the mission requirements and supervisory determination. **This Job Opportunity Announcement is using an additional online assessment tool to evaluate applicants. Please review the HOW YOU WILL BE EVALUATED, HOW TO APPLY and WHAT TO EXPECT NEXT sections below for instructions. 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. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. 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. Employment with DFAS means access to generous benefits such as: health, vision, and dental insurance, retirement benefits, paid time off, and educational benefits. Selections are subject to restrictions resulting from the DoD Program for Stability of Civilian Employment. A one year probationary period may be required. We may use this announcement to fill additional vacancies within 90 days of the closing date. Travel requirement is Seldom. This position is not covered by a bargaining unit. Veteran's Preference: Veteran's preference does not apply under this Direct Hire Authority (DHA). This position is Exempt from the Fair Labor Standards Act. DFAS recognizes the value of competencies gained through formal education and professional certifications. To ensure that consistent credit is given for these credentials in the selection process DFAS has developed standard selection criteria to be used when filling positions in professional and administrative series. Selections for professional and administrative positions will be based on four categories of selection criteria: Experience, Other, Education, and Certifications. Males born after 12-31-59 must be registered or be exempt from Selective Service (see http://www.sss.gov). Retired Civil Service Employee: Employment of retired Federal employees receiving an annuity is subject to the requirements of the Department of Defense (DoD) policy guidance. (See DoD Instruction 1400.25, Volume 300, here). The Security Designation will vary and dependent upon position and may require a secret clearance or higher. Employment in this position requires a background investigation which may delay starting date. If you are selected and cannot obtain a favorable security determination within a reasonable period of time due to disclosed/undisclosed background issues, the employment offer may be withdrawn. Individuals selected are required to obtain/maintain a favorable security determination to occupy a sensitive position within the agency as a condition of employment. Failure to maintain eligibility to occupy a sensitive position may result in termination. For more information see the security section of Understanding Vacancy Announcements.

How this job compares

Set against the 2,110 open Machine Learning jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This postingNot listed
  • US median$150–240K/yr1,502 salary ranges
  • US median$32–48/hr79 hourly ranges
Openings
Olive Jobs lists 2,110 open Machine Learning jobs across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most across the US
Experience
This posting asks for at least 1 year of experience — less than three in four Machine Learning postings that state a minimum ask for (median 5 years, across 1,591 postings).
Education
788 of the 2,110 open Machine Learning jobs (37%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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