Senior Data Scientist, IT Ops Forecasting & AI

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

Benefits offered by this job

Medical, Dental, and Vision Coverage

PTO and Holidays

401(k) Plan

Job summary

Amazon's OTS ANCHOR team in Austin seeks a Senior Data Scientist to own end-to-end data science for IT operations—forecasting service demand, capacity planning, and intelligent severity triaging.

You will build production ML models, anomaly detection, and econometric frameworks, collaborating with engineering to deploy pipelines on AWS (SageMaker, Step Functions, Lambda, Redshift). You will mentor teammates and contribute to a multi-year science roadmap.

Qualifications

• 5+ years of data querying and scripting experience (SQL/Python)
• 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 ML models for IT operations forecasting
• Build and maintain severity classification and intelligent triaging models
• Develop anomaly detection systems to identify emerging patterns in operational data
• Create econometric and statistical frameworks to measure impact of operational interventions
• Partner with engineering teams to productionize ML models via automated pipelines using AWS services (SageMaker, Step Functions, Lambda, Redshift)
• Design and conduct experiments to 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 analytical insights into actionable strategies
• Communicate findings, model performance, and strategic recommendations to senior leaders
• Mentor junior data scientists and engineers on the team; raise the bar on scientific rigor
• Contribute to the team's multi-year science roadmap, identifying new opportunities to apply ML/AI

Skills

SQL

Python

Statistical models

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM roles

Job description

Amazon's OTS ANCHOR team in Austin seeks a Senior Data Scientist to own end-to-end data science for IT operations—forecasting service demand, capacity planning, and intelligent severity triaging.

You will build production ML models, anomaly detection, and econometric frameworks, collaborating with engineering to deploy pipelines on AWS (SageMaker, Step Functions, Lambda, Redshift). You will mentor teammates and contribute to a multi-year science roadmap.