Senior Data Scientist, Field Engineering

• Develop and maintain scalable models and analytical frameworks to measure and predict data center fleet performance, including availability, efficiency, and reliability KPIs across the global AWS infrastructure portfolio.
• Apply advanced statistical and machine learning techniques to extract actionable insights from complex, large-scale operational datasets generated by data center systems (power, cooling, controls, etc.).
• Partner with Field Engineers, Operations, and Portfolio Managers to identify high-impact opportunities for capacity and availability improvement, translating engineering domain knowledge into quantitative problem formulations.
• Design and implement end-to-end data science workflows - from data acquisition and cleaning through model development, validation, and production deployment - enabling repeatable, scalable analysis.
• Formalize assumptions about how data center systems are expected to perform and develop methods to systematically identify deviations, root causes, and high-ROI improvement opportunities.
• Build self-service datasets, dashboards, and reporting mechanisms that provide Field Engineering leadership with Real Time visibility into fleet health and portfolio performance.
• Prepare narratives and data-driven recommendations for executive leadership that articulate decision points relative to fleet investment, risk trade-offs, and strategic priorities.
• Collaborate with applied science, software engineering, and data engineering teams to ensure models integrate seamlessly with upstream and downstream systems.

• 5+ years of experience with data querying languages (eg, SQL), Scripting languages (eg, Python) or statistical/mathematical software (eg, R, SAS, Matlab).
• 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling, and communication.
• Master's degree in a quantitative field such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Engineering, or Computer Science; OR Bachelor's degree and 8+ years of professional experience in a quantitative role.

Preferred Qualifications

• 2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, etc.
• Experience documenting modeling for technical and business leaders.
• Experience working with data engineers and Business Intelligence engineers collaboratively.
• Knowledge of AWS tech stack (eg, AWS Redshift, S3, EC2, Glue).
• Experience developing operational processes and data insights.
• Experience with anomaly detection, predictive maintenance, or reliability modeling in industrial or infrastructure contexts.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Compensation

• USA, CA, San Francisco - $183,000.00 - $247,600.00 USD annually
• USA, WA, Bellevue - $159,200.00 - $215,300.00 USD annually
• USA, WA, Seattle - $159,200.00 - $215,300.00 USD annually