INTERDISCIPLINARY COMPUTER SCIENTIST / DATA SCIENTIST

Summary

You will serve as a INTERDISCIPLINARY COMPUTER SCIENTIST / DATA SCIENTIST in the OFFICE OF TECHNICAL DIRECTOR of the COMNAVMETOCCOM.

Duties

• You will develop, implement, and enforce the functional area's data strategy, ensuring alignment with departmental and Federal data management policies.
• You will leads data stewardship activities, including data quality profiling, cleansing, and validation to ensure data is accurate, complete, and timely.
• You will develop and supports data security policies and procedures in coordination with cybersecurity teams.
• You will apply sophisticated analytical techniques, including machine learning, statistical modeling, and natural language processing (NLP), to complex datasets to identify mission critical trends, patterns, and anomalies.
• You will conduct the full analytics lifecycle, from requirements gathering and data exploration to feature engineering, model training, and performance monitoring.
• You will develop and maintain interactive dashboards, geospatial visualizations, and executive-level reports to provide stakeholders with on-demand access to key performance indicators and mission metrics.
• You will support the Chief Data Officer (CDO) regarding analysis and tracking of programming decisions, funding realignments, budget offsets, and COA development associated with commands Data Strategy to help mitigate high-priority capability gaps.
• You will manage project execution by coordinating the efforts of cross-functional team members, stakeholders, and technical personnel to ensure projects are completed on time and within scope.
• You will perform other duties as assigned.

Qualifications

To qualify for the GS-14 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-13 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: Experience leading the development, implementation, and enforcement of enterprise data strategies, standards, and policies; chair data governance working groups; and oversee data stewardship across the full data lifecycle. Experience leading complex, high-impact analytical efforts involving large, unstructured, or multi-source datasets; Experience independently designing and deploying production and analytical solutions. Experience distilling highly complex technical results into actionable strategic insights for senior executive leaders (SES/Flag level), including the development of flag-level briefings, white papers, and decision-support products. Experience displaying advanced leadership in managing large-scale, high-visibility programs or multiple concurrent complex projects, including risk management, stakeholder engagement at senior levels, and full accountability for cost, schedule, and performance. To qualify for the GS-13 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. Specialized experience must demonstrate the following: Experience applying data governance principles, developing data standards and policies, performing data stewardship activities, and contributing to data models and catalogs. Professional experience applying advanced analytical methods (machine learning, statistical modeling, predictive analytics) and the full analytics lifecycle using programming languages like Python or R and modern data science libraries. Experience demonstrating the ability to translate analytical findings into clear visualizations, dashboards, and briefings for technical and managerial audiences. Experience leading projects, including developing project plans, managing resources, and coordinating with cross-functional teams using Agile or traditional project management methodologies. 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/computer-science-series-1550/ 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.

Education

Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: Applicants must possess Series: COMPUTER SCIENCTIST, SERIES 1550 Basic Requirements: 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. Series: DATA SCIENCTIST, SERIES 1560 Basic Requirements: 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. TRANSCRIPTS ARE REQUIRED

How to apply

Click the Apply Online button to create an account or log in to your existing USAJOBS account. To apply for this position, you must provide a complete Application Package which includes: 1. Complete resume with relevant experience, job title, duties and accomplishments. Resumes are restricted to no more than 2 pages. Illegible/unreadable resumes will not be considered. Your resume must show complete information for each job entry to support minimum qualifications. The following information should be provided in your resume: employer's name, starting and end dates (Mo/Yr), hours per week if experience was less than full time (35-40 hours per week), pay plan, series and grade level (e.g. GS-0201-09) for relevant federal experience. TIP: A good way to ensure you include all essential information is to use the Resume Builder in USAJOBS to create your resume. 2. Supporting documentation Failure to submit a complete application package will result in an ineligible rating and loss of consideration. Your complete application must be received by 11:59 pm Eastern Standard Time (EST) on 09/21/2026. Applications received after 09/21/2026 will generally result in an ineligible rating and loss of consideration. If more than one resume is received, only the last resume received and processed will be reviewed. For additional information on viewing your application status, click https://help.usajobs.gov/how-to/application/status. You are encouraged to apply online. Applying online will allow you to review and track the status of your application. Do not email or send hard copy resumes/applications to the Contact Information or Agency Information listed in this vacancy announcement. All resumes/applications received at the addresses listed in the Contact Information or Agency Information will be destroyed and will not be considered for this vacancy announcement. It is the applicant's responsibility to verify that all information in their resume and documents are legible and accurate. HR will not modify answers/documents submitted by an applicant.