Learning Engineer - Instrumentation and Analysis – Learnvia - Simon Initiative

Bachelor's degree required, Master's degree preferred. At least three (3) years of experience in Learning Sciences, Data Science, Computer Science, or related field. Experience analyzing learner or user interaction data in large-scale learning platforms. Strong analytical and statistical skills (SQL, Python, R). Experience with cognitive modeling, learning curves, or educational data mining. Experience working with event logging, data pipelines, or instrumentation frameworks.

Partner with engineering to design and implement event tracking across lessons, assessments, and practice activities. Ensure logging schemas capture fine-grained data such as attempts, hints, time-on-task, and error patterns. Audit and maintain data quality. Analyze learner/learning data, identifying opportunities for improvement in content and feature design. Apply learning science models to track skill growth and predict mastery. Identify where learners struggle and what drives retention, progression, and engagement. Translate findings into recommendations for product, content, and instructional design improvements. Collaborate with product managers and designers to shape existing and new features based on learning data. Support A/B testing and experiments to measure the effectiveness of interventions. Deliver clear, business-oriented reports and dashboards for stakeholders.