Sr. Data Scientist, OTS - Data ANCHOR Team
Listed on 2026-07-25
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, Data Engineering
Description
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.
We are seeking a Senior Data Scientist to own the end-to-end data science charter for critical operational work streams — from forecasting IT service demand and capacity planning to designing intelligent severity triaging models and building the analytical backbone for agentic AI solutions. You will work backwards from complex operational problems to create models and solutions that directly impact the efficiency and reliability of Amazon's IT operations worldwide.
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 product ionize 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 team's multi-year science roadmap, identifying new opportunities to apply ML/AI (including Generative AI and agentic architectures) to operational challenges
A day in the life
Amazon Benefits:
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
Basic Qualifications
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
4+ years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Experience building and deploying production machine learning models (classification, regression, time-series forecasting, anomaly detection)
Preferred Qualifications
2+ years of data visualization using AWS Quick Sight, Tableau, R Shiny, etc. experience
Experience managing data pipelines
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions
Strong written communication skills with ability to influence through documents (6-pagers, science…
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