Data Scientist

Typical work assignments at the full performance level include, but are not limited to: Analyzing and defining data requirements for NRMC mission needs. Developing and maintaining data specifications, standards, policies, and procedures to support consistent use of critical infrastructure (CI) data.

Conducting data analysis on complex CI risk topics (e.g., environmental impacts, natural disasters, cascading consequences) using appropriate quantitative methods to identify trends, relationships, and risk drivers across CI sectors.

Evaluating data quality and fitness-for-use by determining accuracy requirements, validating sources, and assessing impacts of incomplete/poor-quality data on statistical interpretation and analytic conclusions.

Developing reproducible analytic workflows and code to ingest, transform, and analyze structured/unstructured data (e.g., using R/Python/Structured Query Language (SQL); file investigation/output preprocessing such as normalization/imputation/dimensionality reduction).

Incorporating appropriate geographic information system (GIS) technology into analytic workflow to provide comprehensive and scientifically sound answers to inquiries from stakeholders. Using automatic methods of data collection, analysis or illustration.

Inputting data into digital form and using computer applications for data analysis, manipulation, and presentation. Preparing technical reports/papers and representing the program in reviews, conferences, and working groups. Coordinating with other government entities and external partners as technical authority/spokesperson when assigned.

Providing actionable recommendations and decision support to leadership and stakeholders by translating analytic findings into operationally relevant options, assumptions, limitations, and impacts to CI resilience and risk reduction.

Serving as a project officer/technical team member for assigned analytic initiatives: plan work, coordinate with partners/contractors, track milestones, and contribute to improvements in methods and procedures.

Do NOT copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position. Your resume must describe your work and experience, in your own words.

To be considered minimally qualified for this position, you must demonstrate that you have the required education and experience for the respective grade level in which you are applying. Applicants must demonstrate that they meet the Basic Requirements AND Minimum Qualification requirements as listed below. BASIC REQUIREMENTS: A.

Degree: Bachelor's degree (or higher degree) from an accredited institution that included a major field of study in physical science, engineering, or mathematics that included 24 semester hours or 36 quarter hours in physical science and/or related engineering science such as mechanics, dynamics, properties of materials, and electronics.

(Note: You must attach a copy of your transcripts. OR B.

Combination of education and experience: Combination of education and experience with education equivalent to one of the majors shown in A above that included at least 24 semester hours or 36 quarter hours in physical science and/or related engineering science, plus appropriate experience or additional education.

IN ADDITION TO MEETING THE BASIC REQUIREMENTS ABOVE, YOU MUST ALSO MEET THE FOLLOWING MINIMUM QUALIFICATIONS: You qualify at the GS-11 grade level, if you have: EXPERIENCE: At least one (1) year of specialized experience at the GS-09 grade level (or equivalent) performing all the following duties: Analyzing and defining data requirements/specifications and developing or updating data standards, policies, and procedures to support mission analytics; Conducting independent quantitative analysis of large or complex datasets using statistical methods to produce defensible findings; AND Writing and refining code-based workflows (e.g., R/Python/Structured Query Language (SQL); file ingestion/output; preprocessing steps such as imputation/normalization/transformation) to ensure analytic repeatability.

OR EDUCATION: A. Ph.D. or equivalent doctoral degree from an accredited institution that included a major field of study in physical science, engineering, or mathematics that included 24 semester hours or 36 quarter hours in physical science and/or related engineering science such as mechanics, dynamics, properties of materials, and electronics.

OR B. Three (3) full years of progressively higher-level graduate education leading to a Ph.D. or equivalent doctoral degree from an accredited institution that included major study in the field of study described in statement "A" above. OR C. LL.M.

(Master of Laws) degree, if related OR COMBINATION OF EDUCATION AND EXPERIENCE: An equivalent combination of education and experience as described above may be used to substitute for the specialized experience requirement.

Only graduate education in excess of the second year (determined by the institution) or 36 semester hours or 54 quarter hours (i.e., beyond the second year) is creditable toward meeting the specialized experience requirement.

You qualify at the GS-12 grade level, if you have: EXPERIENCE: At least one (1) year of specialized experience at the GS-11 grade level (or equivalent) performing all the following duties: Serving as a technical lead analyst for complex, multidisciplinary critical infrastructure risk/consequence analyses where established criteria or data are incomplete, requiring judgment, originality, and methodological adaptation; Designing and improving analytic methodologies and procedures (theoretical and practical), including establishing standards for data use, validation, and interpretation across teams or projects; AND Leading development of advanced analytic products and decision support (e.g., integrated trend/cross-sector risk analyses) that directly inform program direction, stakeholder actions, or resource prioritization.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (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. You will receive credit for all qualifying experience, including volunteer experience. All qualification requirements must be met by the closing date of this announcement.