INTERDISCIPLINARY COMPUTER SCIENTIST / DATA SCIENTIST

About this role

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).