Data Scientist

About the role

As a Data Scientist with the US Office of Personnel Management, Healthcare and Insurance, you will develop and apply statistical models, machine learning methods, risk indicators, anomaly detection, automation, and visual analytics to support oversight, program integrity, fraud/risk detection, and data-driven decisions for federal benefits programs. Applicants must meet the Basic Requirement for the Data Science Series, 1560: Degree: Mathematics, statistics, computer science, data science, or a 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 Combination of education and experience: Courses equivalent to a major field of study, or 30 semester hours, in mathematics, statistics, computer science, data science, or a field directly related to the position, plus additional education or appropriate experience. In addition to the basic education requirement above, applicants must have one year of specialized experience equivalent to at least the GS-13 level in the Federal service, or equivalent, performing data science work that includes: Developing, testing, implementing, or maintaining statistical models, machine learning methods, risk indicators, or anomaly detection approaches using program, financial, claims, enrollment, healthcare, insurance, benefits, or operational datasets; Applying predictive modeling, classification, regression, clustering, anomaly detection, statistical testing, artificial intelligence, or other quantitative methods to identify risks, outliers, improper payments, fraud, waste, abuse, operational vulnerabilities, or program integrity concerns; Using programming, statistical, query, automation, or visualization tools, such as Python, R, SAS, SQL, Tableau, Power BI, or comparable tools, to build reproducible data workflows, scripts, analytical pipelines, dashboards, reports, or decision-support products; Integrating, cleaning, transforming, validating, or assessing data from multiple sources to support reproducible analysis, model development, risk scoring, reporting, or program oversight; and Communicating data science methods, model assumptions, limitations, findings, risk indicators, or recommended actions to managers, program officials, technical teams, compliance staff, legal staff, investigative staff, or other stakeholders. You must meet all qualification and eligibility requirements by the closing date of this announcement. 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.

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