1. Conduct rigorous data analysis and statistical modeling on large datasets related to students' performance, behaviors, and cognitive assessments.
2. Extract actionable insights from complex data sets to help shape strategies for personalized learning experiences.
3. Develop predictive models to understand student outcomes, identify potential learning gaps, and recommend intervention strategies.
4. Collaborate with cross-functional teams (Product, Engineering, UX) to implement data-driven features and enhancements.
5. Design and create visualizations and dashboards to effectively communicate data findings to non-technical stakeholders.
6. Write and maintain robust, efficient, and scalable code for our data science infrastructure.
7. Stay updated on cutting-edge research and best practices in the field of educational data science and cognitive assessment.