Data Scientist

U.S. Pacific Fleet • Pearl Harbor, HI

15h

About The Position

Serve as a Data Scientist in the Directorate Maritime Information Warfare, Director of Intelligence Office (Code N2), supporting COMPACFLT operational requirements. Perform complex data science and machine learning work to address Pacific Fleet operational challenges. Design, develop, test, and deploy machine learning and AI models; research and implement advanced algorithms and statistical techniques for large, complex, diverse datasets; identify and prepare datasets for model development; conduct exploratory data analysis; and develop and maintain data pipelines for ongoing model training and evaluation. Act as a technical advisor on data science and AI, consulting with operational planners and decision-makers about AI capabilities and limitations.

This is a Department of Defense Cyberspace Workforce position, with the Software Developer work role at the Intermediate proficiency level. The incumbent must obtain and maintain the required cyber workforce qualifications. The position may require travel within and outside the continental United States, including to remote or isolated sites, and travel on military or commercial aircraft for extended periods. It may involve an uncommon tour, including nights, weekends, and holidays, as well as overtime or night differential hours. The role requires exposure to high noise levels and a current valid U.S. driver’s license. A security clearance and successful pre-employment drug test are required; employees are also subject to random testing.

Requirements

• Must be a U.S. citizen and determined suitable for federal employment.
• Must participate in the direct deposit pay program and pass the required E-Verify employment verification check if a new Department of the Navy employee.
• Current federal employees applying for GS positions generally must meet the one-year time-in-grade requirement by the announcement’s closing date.
• Must obtain and maintain a current valid United States driver’s license.
• Must obtain and maintain an interim and/or final security clearance before entering on duty; failure to maintain the required clearance may result in withdrawal of an offer or removal.
• Must obtain and maintain qualifications required for the DoD Cyber Workforce Framework Software Developer work role at the Intermediate proficiency level, consistent with DoDM 8140.03 and Department of the Navy policies.
• Must successfully complete a pre-employment drug test, including marijuana testing, and is subject to random testing.
• Must be able to travel from the normal duty station to CONUS and OCONUS locations, potentially including remote or isolated sites, and travel on military and commercial aircraft for extended periods.
• Must be able to work an uncommon tour, including nights, weekends, and holidays; overtime or night differential and unusual duty hours may be required.
• Must be able to work with exposure to high noise levels.
• Must have at least one year of specialized experience at or equivalent to the GS-12 grade level applying advanced data science, AI, and machine learning techniques to complex operational challenges and translating stakeholder needs into technical requirements.
• Must meet the education requirement with a degree in mathematics, statistics, computer science, data science, or a directly related field, at least at the baccalaureate level; alternatively, qualifying education may consist of 30 semester hours equivalent to a major field of study plus additional education or appropriate experience.
• Males born after December 31, 1959, must be registered for Selective Service.
• Retired military members appointed to DoD civilian positions within 180 days of retirement are subject to 5 U.S.C. 3326.

Responsibilities

• Design, develop, test, and deploy machine learning and AI models to address Pacific Fleet operational challenges.
• Research and implement advanced algorithms and statistical techniques for large, complex, and diverse datasets.
• Identify, acquire, and prepare datasets for AI model development, including cleaning, preprocessing, feature engineering, and validation.
• Conduct exploratory data analysis to uncover trends, patterns, and insights relevant to operational planning and strategy.
• Develop and maintain data pipelines for continuous AI model training and evaluation.
• Serve as a technical advisor on data science and AI matters for the command.
• Consult with operational planners and decision-makers on AI technologies’ capabilities and limitations.
• Meet and maintain the required DoD cyber workforce qualifications.

Benefits

• Federal employee benefits package for employees and their families; specific eligibility and benefits depend on position type.
• Potential relocation incentive, subject to authorization and funding.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior