Sr. Data Scientist, OTS

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Sr. Data Scientist, OTS - Data ANCHOR Team

Job ID: 10478504 | Amazon.com 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 (SageMaker, 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 (ServiceNow 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 be

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/85752c