Regional Flexibility Data Scientist

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's Region Flexibility Engineering (RFE) team seeks a Data Scientist to refine experiments and drive data-driven automation for regional placement, cross-region libraries, and tooling. You will influence product design and implement scalable data solutions across Amazon stores, devices, and services to improve latency and resilience.

In this role, you will work with product leaders to model region impact, manage data pipelines, and mentor a data science team while leveraging AWS and non-AWS

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.
• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience.
• Experience managing data pipelines.
• Experience as a leader and mentor on a data science team.

Responsibilities

• Influence technical decisions and build data-driven automation capabilities in areas of development/modeling.
• Identify enablers and blockers of adoption for region flex and model impact of region changes.

Skills

SQL

Python

R

Tools

AWS QuickSight

Tableau

R Shiny

Job description

Amazon's Region Flexibility Engineering (RFE) team seeks a Data Scientist to refine experiments and drive data-driven automation for regional placement, cross-region libraries, and tooling. You will influence product design and implement scalable data solutions across Amazon stores, devices, and services to improve latency and resilience.

In this role, you will work with product leaders to model region impact, manage data pipelines, and mentor a data science team while leveraging AWS and non-AWS