DATA SCIENTIST

01QUALIFICATIONS

All qualifications must be met by the closing date of this announcement-11/12/2026-unless otherwise stated in this vacancy announcement. To receive credit for experience, your resume MUST state either "full-time" (or "40 hours a week") or "part-time" with the number of hours worked per week to ensure proper crediting of specialized experience.

Failure to adequately provide information needed to determine number of hours worked in each position may result in that time not being credited when evaluating qualifying experience. For periods of time that reflect military service, the DD-214 or Statement of Service is sufficient to meet the full and/or part-time hours requirement as the service dates will be reflected.

Minimum Qualification Requirements: To qualify for this position, you must meet the following minimum qualifications: To qualify for this position, you must meet the (1) Basic Education Requirements AND (2) Specialized Experience for the series to which you are applying. (1) Basic Education Requirements 1560 series: In addition to the specialized experience requirements for this position, applicants must meet the Education Requirements described below: A.

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 B. 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. AND (2) Minimum Qualification Requirements GS-1560-11: A.

Specialized Experience: To qualify for the GS-11, you must possess at least one full year of specialized experience equivalent to the GS-09 level in the Federal service, or comparable experience not gained through Federal service. Specialized experience is experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is in or related to the work of the position to be filled.

Specialized experience is defined as demonstrated experience in at least 2 of the following: 1. Writing code in Python, R, or SQL to query, clean, and validate data drawn from multiple systems and databases. 2. Building dashboards and visualizations in Tableau or the Microsoft Power Platform to communicate results to technical and non-technical audiences. 3. Applying statistical modeling, machine learning, or optimization techniques to identify trends and support forecasting or resource planning. 4.

Testing AI/ML models and analytical tools for accuracy and reliability, and documenting data quality issues. Experience working with Cloud hosting solutions, including Azure or AWS. 5. Preparing technical documentation and delivering oral presentations that translate analytical findings for decision makers. OR B.

02Education

Successful completion of at least 3 years of progressively higher-level graduate education (54 semester hours or equivalent) leading to a Ph.D. in a directly related field of study; or a Ph.D. or equivalent doctoral degree in a directly related field of study which provide the knowledge, skills, and abilities to do the work of this position. You must include transcripts. OR C.

Combination: Successful completion of a combination of graduate level education as described in above, beyond the first two years of progressive graduate study, and appropriate professional experience that together meet the qualification requirements for this position.

Volunteer Experience: 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.

Provides data-driven solutions to mission challenges by developing workflows that transform raw structured and unstructured data into useful, actionable information, applying statistical modeling, AI/ML applications, optimization, and exploratory data analysis to identify trends, patterns, and relationships.

Designs, builds, and maintains data pipelines to collect, clean, validate, and organize data from multiple enterprise systems, ensuring data is accurate, consistent, and usable for downstream analysis and reporting. Develops analytical tools, queries, dashboards, and visualizations using programming and scripting languages such as Python, R, and SQL and business intelligence tools such as Tableau and the Microsoft Power Platform.

Develops data quality checks and procedures, and supports data governance best practices for data access, usage, metadata documentation, and security, ensuring analytical work aligns with Bureau policies, Departmental guidance, and Federal regulations. Assists in developing, testing, and refining predictive and statistical models to support forecasting, workload estimation, and resource planning, validating results using standard statistical and computational methods.

Collaborates with multidisciplinary teams to understand data needs, translate technical concepts, and ensure analytical projects meet program and business goals. Translates the results of analysis into clear, actionable communications that equip Reclamation decision makers to make informed, data-driven decisions about programmatic and administrative functions. Communicates technical work effectively with oral presentations to internal team members and Reclamation clients and collaborators.

Drafts written technical documentation such as briefing papers, standard operating procedures, technical tool documentation, and technical memorandums.