DATA SCIENTIST

You will perform work related to the extraction, processing, and transformation of structured and unstructured data into information that enables the organization to make accurate, data-driven decisions through advanced visualization techniques

You will serve as the technical authority and consultant for the Force Improvement Office (FIO) community on the application of mathematical, statistical, and data science standards to enterprise performance evaluation

You will apply data engineering and big data principles to design automated database queries, extraction routines, and data pipelines from disparate enterprise sources.

You will lead complex analytical investigations and exploratory data studies to support strategic decision-making across NAVFAC leadership and customer organizations.

You will formulate innovative research designs to resolve ambiguous, ill-defined problems characterized by sparse or non-standard data.

You will conduct continuous evaluation of evolving business, functional, and technical requirements across NAVFAC programs.

You will assess emerging industry technologies and machine learning capabilities to continually modernize analytical toolsets, enhance predictive precision, and expand analytical capacity across FIO.

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: 1) Using mathematical and statistical methodologies to develop processes utilized to analyze data; 2) Developing and implementing data driven analytical solutions; and 3) Preparing and presenting data visualizations for metrics and measures.

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/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.