Data Scientist

Barrow Wise Consulting•Rockville, MD

2d•$90,000 - $150,000•Remote

About The Position

Enjoy problem-solving, need a venue to display your creativity, and emerging technologies pique your interest; if so, Barrow Wise Consulting, LLC is for you. As a multi-disciplined leader, you understand the gifts that set you apart from everyone else. Demonstrate innovative solutions to our clients. Join Barrow Wise Consulting, LLC today. The Data Scientist will support Barrow Wise's DoED project and perform the following duties: 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

Requirements

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

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