Data Modeler (R Studio)

Workforce Analysis and Data Modeling Specialist

Location: Remote, East Coast

Changeis, Inc. is an award-winning 8(a) certified, woman-owned small business renowned for its management consulting and engineering services to the public sector. With a legacy of executing successful programmatic initiatives, producing acquisition-sensitive outputs, and setting long-term innovative strategic priorities, Changeis has established itself as a leader in the industry.

The Workforce Planning Specialist will be a pivotal contributor to the Workload Analysis and Resource Modeling (WARM) for the USCIS Office of Performance and Quality (OPQ). The specialist will be responsible for modernizing, refining, enhancing, and automating the Staffing Allocation Models (SAMs) and Model for Operational Planning (MOP). This role will involve close collaboration with product design and engineering teams, understanding their requirements, and innovating statistical models for data analysis. By sharing findings with all stakeholders and utilizing analytics for actionable insights, they will foster smarter business processes and stay updated with current technical and industry trends.

Roles and Responsibilities:

• Build new SAM and workload forecasts as required.
• Refine and maintain any assigned SAM and workload forecast.
• Conduct ongoing verification and validation of data sources.
• Undertake sampling methods or studies when data is unavailable.
• Conduct performance or productivity data analyses as required.
• Develop improvements and automate data pulls, workload forecasts, and SAMs.
• Build or refine dashboards and provide data visualization to illustrate the impact of scenarios when the model is updated with new assumptions.
• Improve and maintain the R Studio-based Forecasting Tool.

Requirements:

• Must have Bachelor's degree; Master's degree a plus 
• Must have U.S. Work Authorization without the need for sponsorship
• Must have 4 to 10 years of experience in operations research, data analysis, or a related field
• Experience using Python, R Studio, Databricks, Stata, etc.
• Ability to formulate and apply mathematical modeling and other optimizing methods
• Proficiency in collecting and analyzing data, developing decision support software, services, or products
• Capability to develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation
• Ability to work independently and take ownership of all functional duties