Sr. Data Scientist, OTS - Data ANCHOR Team Job ID: 10478504 | Services LLC The OTS ANCHOR (Analytics, Insights, and Centralized Hub for OTS Reporting) team is part of the WW IT Operations & RME organization, responsible for delivering data solutions that drive operational excellence across Amazon's global IT infrastructure.
We build data pipelines, predictive models, develop analytical intelligence frameworks, and create AI-powered solutions that transform how Amazon manages, triages, and resolves IT operational incidents at scale pointing towards the Letting Data Tell the Story north start vision.
Key job responsibilities Design, develop, and deploy machine learning models for IT operations forecasting, including incident volume prediction, capacity planning, and workforce demand modeling Build and maintain severity classification and intelligent triaging models that process thousands of daily IT service tickets across global regions Develop anomaly detection systems to identify emerging patterns in operational data,



enabling proactive incident prevention Create econometric and statistical frameworks to measure the impact of operational interventions and optimize resource allocation decisions Partner with engineering teams to productionize ML models via automated pipelines using AWS services (Sage Maker, Step Functions, Lambda, Redshift) Design and conduct experiments to empirically validate model performance and operational impact Develop data quality monitoring frameworks and establish standards for operational data integrity Collaborate with cross-functional teams (Service Now platform, Decision Intelligence, Field Operations) to translate complex analytical insights into actionable strategies Communicate findings, model performance, and strategic recommendations to senior leaders through written documents and presentations Mentor junior data scientists and engineers on the team; raise the bar on scientific rigor and analytical best practices Contribute to the t

📌 Sr. data scientist, ots (Italia)
🏢 Amazon
📍 Italia