Remote Senior Statistician: Education Data Forecasting

barrowwise; Maryland; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Remote work

Excellent benefits

Career growth opportunities

Job summary

Barrow Wise Consulting, LLC is seeking a Senior Statistician to support the DoED project and lead statistical modeling, data cleaning, and reporting efforts. You will build robust modeling pipelines, validate datasets such as NCES and IPEDS, and draft methodological narratives for technical reviews.

The role is remote with opportunity for growth and impact on national education projections. The ideal candidate holds a PhD, has 8 years of experience in statistical modeling with educational data,

Qualifications

• PhD in a related field is required.
• 8 years of experience in statistical modeling and forecasting with educational data.
• Experience with NCES, Census, or IPEDS datasets.
• At least 4 authored publications.
• Experience developing AI/ML algorithms for advanced data modeling.

Responsibilities

• Create and execute statistical models 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 updated projections and final reports with detailed demographic breakdowns.
• Develop data processing plans and technical documentation.
• Work remotely.

Skills

Statistical modeling

Forecasting

AI/ML algorithms

NCES data experience

Team collaboration

Education

PhD in a related field

Job description

Barrow Wise Consulting, LLC is seeking a Senior Statistician to support the DoED project and lead statistical modeling, data cleaning, and reporting efforts. You will build robust modeling pipelines, validate datasets such as NCES and IPEDS, and draft methodological narratives for technical reviews.

The role is remote with opportunity for growth and impact on national education projections. The ideal candidate holds a PhD, has 8 years of experience in statistical modeling with educational data,