About the Role:
The primary objective of this position is to establish and oversee the data science strategy, guiding the development and deployment of cutting-edge machine learning models and data-driven products. This senior role focuses on student audience segmentation, predictive propensity modeling, and AI-enabled career advising.
* Lead, mentor, and manage a team of ML/Data Scientists, fostering a culture of technical excellence and continuous improvement.
* Define the technical roadmap and best practices for all data science initiatives, focusing on model reliability, fairness, and interpretability.
* Direct the design, development, and implementation of high-impact data products, particularly those centered around segmentation and propensity models.
* Design, develop, and implement machine learning models and algorithms for complex student audience analysis and AI-enabled career advising, with a strong emphasis on predicting student behavior and optimizing engagement strategies.
* Evaluate, optimize, and monitor rigorous processes in production environments.
* Develop robust, scalable data pipelines to support the entire ML lifecycle.
* Collaborate closely with product managers and business stakeholders to translate strategic requirements into data product features.
* Implement and manage MLOps and CI/CD workflows for efficient model and data product deployments.
* Maintain data governance, quality, and integrity across analytical solutions.
This opportunity involves shaping the future of data-driven education and revolutionizing student outcomes through innovative applications of AI and machine learning.