Data Scientist

Description

Location:

Camp Springs, MD & Authorized Telework (Hybrid)

This role provides advanced data analytics, predictive modeling, and business intelligence support to USCIS Field Operations. The Data Scientist analyzes complex immigration operational data to support data-driven decision making, staffing optimization, and performance improvement.

• Develop and implement data-driven strategies to optimize operational efficiency, with quarterly progress reports on KPIs
• Conduct technology assessments and provide actionable recommendations for IT enhancements, including adoption of emerging technologies such as AI
• Establish performance monitoring mechanisms to track project outcomes focused on USCIS objectives, providing monthly status reports
• Provide predictive modeling and workload forecasting of key immigration and demand metrics, measuring accuracy and impact on decision-making
• Provide analytical knowledge and techniques regarding business process, workload/staffing modeling, and exploration and predictive analytics, including the Staffing Allocation Model (SAM) tools to assess efficiency gains and staffing changes
• Develop and track KPIs, providing data-driven recommendations for continuous improvement. Develop implementable project metrics with data driven collection plans to project ROI of proposed initiatives, determine source data and baseline current state, and quantify impact post implementation
• Use collected customer experience data to develop systems, programs, and process improvements to customer and user experiences
• Build interactive dashboards with real-time performance data to enhance transparency and decision-making using Tableau, Power BI, Python and Databricks
• Expand on summary statistics using Tableau to run new and existing deterministic and probabilistic models addressing eligibility, risk, and complexity screening protocols. Interpret complex immigration data impacting SAVE and E-Verify programs.
• Incorporate advanced statistical techniques (i.e., machine learning and hierarchical regression), where appropriate to use a statistical model to infer future results
• Conduct trend analysis and impact assessments of operational immigration data to optimize operational efficiency.
• Hold meetings and workshops with SMEs to understand data collection and analyses
• Develop structured readiness plans with clear objectives, timelines, and success metrics
• Coordinate alpha/beta testing cycles with documented feedback loops, ensuring effective issue resolution
• Support reporting of project/product implementation by working with PMs/POs to provide recurring reporting. Provide detailed post-deployment reports, including performance metrics, lessons learned, and improvement recommendations.
• Support risk management, post-deployment evaluations, and continuous improvement initiatives

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
• 3–10 years of relevant experience applying statistical and machine learning techniques to operational data, preferably in a federal environment
• Predictive modeling and workload forecasting of key immigration and demand metrics
• Staffing Allocation Model (SAM) tools; workload and staffing modeling
• Development of interactive dashboards using Tableau, Power BI, Python, and Databricks
• Advanced statistical techniques including machine learning and hierarchical regression
• Expanding Tableau-based deterministic and probabilistic models addressing eligibility, risk, and complexity screening protocols
• Interpretation of complex immigration data, specifically data impacting SAVE and E-Verify programs
• Building and tracking KPIs with data-driven collection plans to project ROI of proposed initiatives
• Trend analysis and impact assessments on operational immigration data
• Conducting workshops with SMEs to understand data collection and analysis needs

• Physical demands:
  While performing the duties of job, employee is required to stand; walk; sit; use hands to fingers, handle or feel objects; reach with hands and arms; talk and hear; type/use computer and phone. Prolonged Sedentary work that…