Key Responsibilities:
* Develop and implement machine learning models and algorithms for complex student audience analysis.
* Establish rigorous processes for model evaluation, optimization, and monitoring in production environments.
* Collaborate closely with product managers and stakeholders to translate strategic requirements into data product features.
* Direct the building and maintenance of data-centric applications and tools that leverage machine learning insights.
Requirements:
* A minimum of 10 years of experience in machine learning engineering, data science, or a related analytical/leadership role is required.
* Experience in managing and mentoring a team of data scientists or ML engineers is essential.
* Expert-level experience in building and deploying segmentation and propensity models in a commercial setting is necessary.