DATA SCIENTIST

You will serve as a DATA SCIENTIST in the DIRECTORATE MARITIME INFORMATION WARFARE, DIRECTOR OF INTELLIGENCE Office (Code N2).

Major duties

• You will perform a wide range of complex data science and machine learning duties in support of COMPACFLT operational requirements.
• You will design, develop, test and deploy machine learning (ML) and AI models to address key operational challenges for the Pacific Fleet
• You will research and implement advanced algorithms and statistical techniques suitable for large, complex, and diverse datasets.
• You will identify, acquire and prepare relevant datasets for AI model development including data cleaning, preprocessing, feature engineering and validation.
• You will conduct exploratory data analysis to uncover trends, patterns and insights that can inform operational planning and strategy.
• You will develop and maintain data pipelines to support the continuous training and evaluation of AI models.
• You will serve as a technical advisor on data science and AI matters for the command and provide expert consultation to operational planners and decision-makers on the capabilities and limitations of AI technologies.

Qualifications

In addition to the Basic Requirements for this position, your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-12 grade level or pay band in the Federal service or equivalent experience in the private or public sector as a professional Data Scientist applying advanced data science, artificial intelligence and machine learning techniques to solve complex operational challenges and the ability to translate stakeholder needs into technical requirements. Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/ Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (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. Additional vacancies may be filled by this announcement.

Education

Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: Applicants must possess 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 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.