Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Austin, US
Modeler to develop and analyze complex dynamic systems for national security, healthcare, and transportation domains.
Compensation
$98,800 - $123,500 - $148,200 Annual
Responsibilities
Formulate and develop models and simulations of real world problems involving complex dynamic systems
Develop research questions and test hypotheses with open ended tasking
Work with government sponsors to evaluate solutions and conduct analyses
Support development and application of analytic models
Present results intuitively and actionably
Requirements
Master's degree in quantitative field such as Data Science, Computational Social Science, Mathematics, Statistics, Operations Research, Geospatial Science, Computer Science, Software Engineering, Economics
Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Posted Nov 6, 2026
Forecast Data Analyst V leading the Financial Forecasting Team to develop and maintain financial, workload, and operational forecasting models supporting agency budgeting, resource allocation, and strategic planning.
Provide leadership, technical oversight, and strategic forecasting support to agency leadership
Develop and maintain financial and operational forecasting models
Conduct advanced forecasting, statistical analysis, predictive modeling, and scenario analysis
Perform final review and quality assurance of analytical products
Evaluate emerging forecasting methodologies and technologies
Requirements
Bachelor's degree in Statistics, Finance, Mathematics, Economics, Computer Science, Data Science, Biostatistics, or a closely related quantitative field
Applying modeling, operational analysis, and applied research skills to solve problems of critical national importance in domains like national security, healthcare, and transportation.
Compensation
$98,800 - $123,500 - $148,200 Annual
Responsibilities
Formulate and develop models and simulations of real world problems involving complex dynamic systems.
Develop research questions and test hypotheses with open ended tasking.
Work with government sponsors to understand challenges, evaluate solutions, and conduct insightful, actionable analyses.
Support development and application of a variety of analytic models to sponsor challenges.
Present results in an intuitive, actionable manner.
Requirements
Bachelor degree in quantitative field (Data Science, Computational Social Science, Mathematics, Statistics, Operations Research, Geospatial Science, Computer Science, Software Engineering, Economics)
Bachelor degree in Social/Behavioral Sciences (sociology, psychology, political science, public health) with significant computational experience
Nice to have: Master’s degree in quantitative or social/behavioral sciences
Nice to have: leading or conducting research in computational social/behavioral sciences
Nice to have: stakeholder/funder facing engagements
Salary compensation range and midpoint: $156,800 - $196,000 - $235,200 Annual
Responsibilities
Develop innovative, multidisciplinary approaches for analyzing financial data and trends that may impact the US financial system and markets
Provide expert analysis and/or develop research proposals on issues related to improving financial regulation and banking supervision, adopting new technologies to support distributed ledger or faster payments, or implementing advanced financial analytics
Understand US, mission partner, and adversary capabilities and assess potential threats to U.S. financial stability and security
Conduct analytic and simulation-based analyses using financial data to provide new insights which support policy-level decision making
Provide US Treasury and related sponsors with commercial and market analysis of national interest areas, and methodologies to identify mitigation alternatives
Build pragmatic, scalable, and statistically rigorous solutions to various challenges from embedded solutions, autonomous cars, industrial applications, robotics and retail.
Locations (5)
Alcobendas, Madrid, Spain
Madrid, Madrid, Spain
Gdansk, Pomerania, Poland
Budapest, Budapest, Hungary
Frankfurt, Bavaria, Germany
Responsibilities
Build pragmatic, scalable, and statistically rigorous solutions to various challenges from embedded solutions, autonomous cars, industrial applications, robotics and retail.
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