Senior Data Scientist, IT Operations Analytics & AI

Amazon; Austin (TX); On-site; USD 159,000 - 215,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Job summary

Amazon is seeking a Sr. Data Scientist for the OTS ANCHOR Team to own end-to-end data science for IT operations forecasting, severity triaging models, and the analytical backbone for AI solutions that scale globally.

You will build ML models, collaborate with engineers to productionize pipelines on AWS (SageMaker, Step Functions, Lambda), and mentor junior scientists while contributing to a multi-year science roadmap. Strong SQL/Python and production ML experience are required.

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)

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 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 to operational challenges

Skills

SQL

Python

R

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

SageMaker

Redshift

Lambda

EMR

Kinesis

Job description

Amazon is seeking a Sr. Data Scientist for the OTS ANCHOR Team to own end-to-end data science for IT operations forecasting, severity triaging models, and the analytical backbone for AI solutions that scale globally.

You will build ML models, collaborate with engineers to productionize pipelines on AWS (SageMaker, Step Functions, Lambda), and mentor junior scientists while contributing to a multi-year science roadmap. Strong SQL/Python and production ML experience are required.