Senior Data Scientist: Capacity Forecasting

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

Job summary

Amazon Science in Dallas is seeking a data scientist to build predictive models and optimization algorithms that improve AWS Support operations. You will model contact and volume forecasting, discover insights, and partner with data engineering, operations, finance to drive cost-efficient improvements.

The role emphasizes ML, statistics, and big data, with Python or R for model development and a path toward technical, programmatic, or people leadership within a distributed team.

Qualifications

• 5+ years of data querying languages and statistical software experience.
• 4+ years of data scientist experience.
• Experience with statistical models (e.g., multinomial logistic regression).

Responsibilities

• Establish data management and strategy frameworks supporting data quality.
• Collaborate with cross-functional teams to build data-driven solutions.
• Develop and evaluate forecasting and optimization models for operations.
• Apply ML models to forecast outcomes and drive business value.

Skills

SQL

Python

R/SAS/Matlab

Tools

AWS QuickSight

Tableau

R Shiny

Job description

Amazon Science in Dallas is seeking a data scientist to build predictive models and optimization algorithms that improve AWS Support operations. You will model contact and volume forecasting, discover insights, and partner with data engineering, operations, finance to drive cost-efficient improvements.

The role emphasizes ML, statistics, and big data, with Python or R for model development and a path toward technical, programmatic, or people leadership within a distributed team.