Data Science Manager, PXT Central Science
Core
Lead a multidisciplinary team of economists, data scientists, and engineers to build causal predictive models and structural models that explain workforce dynamics and predict future outcomes for Amazon's Tier 1 hourly populations.
Role type
Senior IC Data Science Manager (Workforce Science)
Builds
Production-quality causal and predictive models, simulation frameworks, and decision-making tools for workforce management.
Domain
Workforce analytics, causal inference, machine learning, behavioral science.
Deliverable
production ML models
Required skills
Causal inference, predictive modeling, statistical modeling for large-scale applications, Python or R, team leadership, strategic planning, technical direction, communication with non-technical audiences.
Preferred skills
Machine Learning (NLP, Regression, Classification, Clustering, Anomaly Detection), fairness in machine learning and AI.
Technologies
Python, R, Large Language Models, Computer Vision, Generative AI.
Responsibilities
Manage and develop a diverse science team; Define and execute the scientific vision for the team; Lead the development of structural and predictive models; Bridge the gap between science, technology, and business requirements; Present complex scientific findings to senior leadership.
Seniority
Senior, hands-on IC with management responsibilities
