• Design, build, and deploy predictive models that improve learner outcomes and product performance, including user behavior prediction, recommendations, ranking, and classification • Develop, own, and continuously improve end-to-end data science workflows, including ongoing model iteration, retraining, and performance monitoring over time • Take ownership of existing and new predictive models, diagnosing performance issues, adapting to data or product changes, and iterating to improve real-world impact over time • Partner closely with product, engineering, research, and leadership to translate ambiguous questions into data science solutions • Work closely with engineering partners to ship, maintain, and iterate on models in production; you will not be expected to build production infrastructure alone • Contribute to AI and model evaluation frameworks, including offline metrics, experimentation, and qualitative analysis • Analyze large, complex datasets to identify patterns, opportunities, and risks across our platforms • Communicate modeling approaches, assumptions, tradeoffs, and results clearly to technical and non-technical stakeholders • Write technical documentation, reports, and presentations that drive product and organizational decisions • Support responsible, ethical, and equitable use of data and AI in education-focused products