Senior IT Operations Data Scientist - Forecasting & AI

Amazon Science; Austin (TX); On-site; USD 159,200 - 215,300; Full time

Benefits offered by this job

Medical, Dental, Vision Coverage

Maternity and Parental Leave

Paid Time Off

401(k) Plan

Job summary

Amazon Science is seeking a Senior Data Scientist to own end-to-end data science for IT operations, including forecasting demand, capacity planning, and intelligent triaging models. You will work on analytics frameworks and agentic AI concepts to improve IT resilience globally.

The role involves building scalable ML solutions, validating experiments, and guiding cross-functional teams while communicating impact to senior leadership. On-site in Austin, with strong AWS integration.

Qualifications

• 5+ years of data querying languages (SQL) and scripting languages (Python) or statistical software
• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• Bachelor's degree in statistics, mathematics, data science, economics, engineering, or CS
• Experience building and deploying production ML models (classification, regression, time-series forecasting, anomaly detection)

Responsibilities

• Design, develop, and deploy ML models for IT ops forecasting (incident volume, capacity planning)
• Build severity classification and triaging models for thousands of IT tickets daily
• Develop anomaly detection to identify emerging operational patterns
• Create econometric/ statistical frameworks to measure impact of interventions
• Partner with engineering to productionize models via AWS pipelines (SageMaker, Step Functions, Lambda, Redshift)
• Design experiments to validate model performance and impact
• Develop data quality monitoring and governance for operational data
• Collaborate with cross-functional teams to translate insights into actions
• Communicate findings to senior leaders and mentors to junior staff
• Contribute to multi-year science roadmap including Generative AI applications

Skills

SQL

Python

Statistical modelling

Multinomial logistic regression

Production ML deployment

Education

Bachelor's degree in a quantitative field

Master's degree (preferred)

Tools

SAS

R

Matlab

Job description

Amazon Science is seeking a Senior Data Scientist to own end-to-end data science for IT operations, including forecasting demand, capacity planning, and intelligent triaging models. You will work on analytics frameworks and agentic AI concepts to improve IT resilience globally.

The role involves building scalable ML solutions, validating experiments, and guiding cross-functional teams while communicating impact to senior leadership. On-site in Austin, with strong AWS integration.