Data Scientist, Regional Flexibility & Automation

Amazon Science; Sunnyvale (CA); On-site; USD 183,000 - 247,600; Full time

Job summary

Amazon Science is seeking a Region Flexibility Data Scientist to refine experiments and implement scalable machine learning solutions for regional placement automation and cross-region tooling. You will influence design choices and build models to assess data-set and service relationships, predicting impacts of region changes to mitigate risk.

As a Data Scientist in Region Flexibility, you will collaborate with product and technical leaders across Amazon to enable services with local affinity,

Qualifications

• 5+ years in data querying languages (SQL), scripting languages (Python) or statistical software (R, SAS, Matlab).
• 4+ years of data scientist experience.
• Experience with statistical models e.g. multinomial logistic regression.

Responsibilities

• Influence technical decisions and build data-driven automation in development/modeling for region flex offerings.
• Identify enablers and blockers of adoption for region flex and build models to understand dataset and service relationships.

Skills

SQL

Python

R

Multinomial logistic regression

Data visualization

Tools

AWS QuickSight

Tableau

R Shiny

Job description

Amazon Science is seeking a Region Flexibility Data Scientist to refine experiments and implement scalable machine learning solutions for regional placement automation and cross-region tooling. You will influence design choices and build models to assess data-set and service relationships, predicting impacts of region changes to mitigate risk.

As a Data Scientist in Region Flexibility, you will collaborate with product and technical leaders across Amazon to enable services with local affinity,