Note: The job is a remote job and is open to candidates in USA. Barrow Wise Consulting, LLC provides innovative consulting solutions to its clients. The Data Scientist will support the Department of Education project by developing statistical and econometric models, preparing education projections, validating complex datasets, and producing technical documentation and final reports.
Responsibilities
- Create and execute all statistical models required for K–12, postsecondary, teacher, expenditure, and degree projections
- Clean, harmonize, and validate NCES, Census, and IPEDS datasets
- Build automated reproducibility workflows and modeling pipelines
- Conduct anomaly detection, sensitivity analysis, and cross-dataset validation
- Draft methodological narratives and responses to technical review
- Produce an updated edition of Projections of Education Statistics from 2030 to 2035 and other final reports
- Produce projections consistent in structure and detail with NCES 2024-034, including national totals, state and regional breakdowns, disaggregation by demographics
- Use diverse and complex models, multiple regression, and other econometric models (e.g., time series and exponential smoothing), with a large number of equations to produce projections
- Re-estimate the two-equation error-correction model, comprising a state education revenue equation and a current expenditures per pupil equation, on an updated data series incorporating the most recently available National Public Education Financial Survey Data (NPEFS) and CCD fiscal data
- Update mean absolute percentage error (MAPE) tables for all models that have sufficient historical projection series
- Develop data processing plan and technical documentation
- Work remotely
Skills
- U.S. Citizenship
- Master's Degree in a related field
- 8 years of experience performing statistical modeling and forecasting with educational data
- Experience with NCES, Census, Financial, or IPEDS datasets
- Experience developing Artificial Intelligence/Machine Learning algorithms for advanced data modeling
- A meticulous eye for detail and a commitment to accuracy
- Ability to work collaboratively in a team-focused environment
Benefits
- Work remotely
- Opportunities for growth and advancement
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