Decision Scientist
Core
Design, build, monitor, and optimize machine learning decision models to support student lifecycle experiences and drive personalized progress.
Role type
Senior IC decision scientist (ML & behavioral analytics)
Builds
Decision intelligence systems and production ML models for student success
Domain
Higher education / Student success analytics
Deliverable
production ML models
Required skills
Machine learning (supervised/unsupervised), statistical modeling, predictive analytics, MLOps, data pipeline development, causal inference, behavioral signal integration, Python, TensorFlow, PyTorch, AWS/Azure/GCP, Git
Preferred skills
Experience in higher education or mission-driven environments
Technologies
Scikit-learn, TensorFlow, PyTorch, AWS, Azure, Google Cloud Platform, Git, GitHub
Responsibilities
Design and deploy ML models for key student decision points; translate business goals into scalable analytical solutions; develop decision frameworks with feedback loops; collaborate with data engineering to maintain production pipelines; implement model monitoring for drift and performance; create dashboards for transparent reporting.
Seniority
Senior, hands-on IC