DATA SCIENTIST

Summary

You will serve as a Data Scientist in the Engineering Directorate, Naval Energy Technology Division of NAVSEA HQ FIELD SUPPORT.

Duties

• You will be responsible for developing and governing modern digital systems and cloud-based engineering architectures.
• You will serve as senior technical/science authority and trusted advisor providing executive leadership and directing multidisciplinary teams responsible for implementing cutting-edge technologies.
• You will drive the organization's digital engineering transformation by ensuring seamless interoperability, scalability, and security across disparate hardware, software, and cloud-hosted environments.
• You will spearhead the design, development, and implementation of complex, high-impact projects.
• You will lead efforts to stand up, optimize, and secure cloud infrastructure environments or establish robust Model-Based Systems Engineering (MBSE) frameworks and digital twins to drive comprehensive lifecycle management of major mission systems.
• You will direct multidisciplinary engineering teams in executing enterprise-wide digital and cloud transformation initiatives.
• You will define long-term technical roadmaps, and advise senior leadership on advanced digital acquisition, or cloud hosting strategies.
• You will oversee the standup, migration, and optimization of scalable cloud environments (IaaS, PaaS, SaaS).
• You will manage professional, scientific, and analytical work requiring mastery across data engineering, statistical modeling, artificial intelligence (AI), and data architecture where multidisciplinary technical expertise is required.

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 next lower pay band, NH-03 (GS-13 Equivalent), in the Federal service or equivalent experience in the private or public sector as a professional scientist conducting complex studies (concurrently or in sequence) that identify ways to improve effectiveness of work methods, procedures, organizations, manpower allocation, distribution of work assignments, delegations of authority, management controls, information and documentation systems, and similar functions. 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 Data Science Series, 1560, Individual Occupational Requirements (IOR): 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, Degree: a bachelor's degree in mathematics, statistics, computer science, data science, or a field directly related to the position; -OR- A combination of education and experience, where my courses are equivalent to a major field of study (30 semester hours) in mathematics, statistics, computer science, data science, or a field directly related to the position, plus additional education or appropriate experience that equates to one year of experience.