Data Scientist, Assessment & Learning Analytics

Job Description:

• Design and validate models underlying adaptive assessment systems, automated scoring pipelines, and real-time diagnostic feedback
• Develop and maintain automation pipelines for evaluating the impact of system changes on downstream score distributions and student classifications
• Apply and extend a variety of state-of-the-art statistical models and approaches to estimate student performance, growth, and score trajectories
• Develop simulations to evaluate and validate assessment design decisions
• Conduct rigorous validity and reliability analyses on data from early reading/literacy assessments
• Collaborate with ML engineers to design experiments validating AI scoring models, including automated speech recognition, NLP-based scoring, and adaptive algorithm performance.

Requirements:

• Master's or Ph.D. in Statistics, Data Science, Quantitative Social Science, Applied Mathematics, Educational Measurement, or a closely related field
• 5+ years of hands-on experience applying statistical and data science methods in applied, production settings (educational assessment experience is a strong plus)
• Deep expertise in applied statistics: generalized linear models, mixed-effects models, latent variable modeling, Bayesian methods, and survival/longitudinal analysis
• Fluency in R and/or Python for statistical modeling, data manipulation, simulation, and reproducible research
• Strong foundation in experimental design, causal inference, and A/B testing methodology
• Experience with measurement models (e.g., item response models, classical test theory analogs, diagnostic classification models) expressed in statistical terms
• Proficiency with NLP, automated speech assessment, or similar AI applications a strong plus
• Actively uses AI-assisted coding tools (Cursor, Claude Code, GitHub Copilot, or similar) in your daily workflow

Benefits:

• Competitive Salary
• Medical, dental, and vision benefits
• 401(k) with company matching
• Flexible time off
• Stock option ownership
• Cutting-edge work
• The opportunity to help children around the world reach their full potential