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Design and implement predictive models to identify trends in benefit requests, potential fraud indicators, or national security vulnerabilities. Utilize the USCIS Data Lake to aggregate, clean, and analyze structured and unstructured datasets. Develop and maintain enterprise-level dashboards (e.g., using Tableau or Power BI) to track key performance indicators (KPIs) and operational metrics. Translate highly technical analytical findings into clear, non-technical recommendations for agency senior leadership and interagency partners. Collaborate with the Office of Information Technology (OIT) to evaluate new tools and ensure data integration between disparate DHS systems. Required Qualifications
Minimum of three (3) - ten (10) years of relevant progressive experience in Data Science Bachelor's degree in Data Science, Statistics, Mathematics or Computer Science is required; A Master's degree in these areas is preferred. Certified Senior Data Scientist certification or similar is highly desirable. Advanced proficiency in Python, R, or SQL is mandatory for querying and integrating complex datasets. Mastery of regression, forecasting, hypothesis testing, and machine learning techniques. Experience with agency-specific systems for identity management and immigration status verification. Expertise in preprocessing, feature engineering, and cleaning large-scale, high-dimensional federal datasets. A Commitment to Equal Opportunity
Hive Group is an Equal Employment Opportunity and Affirmative Action employer dedicated to fair and unbiased employment decisions. We do not discriminate based on race, color, sex (including gender and transgender status), age, religion, national origin, disability, marital status, veteran status, domestic partner or civil union status, gender identity, medical condition, genetic information, sexual orientation, or any other status protected by applicable federal, state, and local laws. Our hiring and promotion decisions are based exclusively on an individual's qualifications and suitability for the role. Protecting Your Information
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