Data Scientist, Region Flexibility

Amazon; San Francisco (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.com Services LLC in Sunnyvale, CA seeks a passionate Data Scientist to refine experiments and build models for regional placement automation and cross-region tooling used across Amazon. You will work with product and technical leaders to drive scalable infrastructure decisions and improve operational efficiency.

Ideal candidates have 5+ years in data science, strong SQL and Python skills, and experience with multinomial logistic regression.

Qualifications

• 5+ years experience with data querying languages (SQL) and scripting languages (Python).
• 4+ years of data scientist experience.
• Experience with multinomial logistic regression.

Responsibilities

• Enable Amazon businesses to leverage new AWS regions and improve efficiency and scale across Amazon Stores, Digital and Others businesses.
• Collaborate with product and technical leaders, advising AWS teams on SDO requirements.
• Identify enablers and blockers of region flexibility adoption, building models to assess impact of region changes and provide mitigation offerings.
• Drive the end-state architecture that enables services to break region coupling while retaining critical business functions within a region.
• Leverage data, information processing, machine learning, and generative AI to improve user experience, automation, service resilience, and operational efficiency.

Skills

SQL

Python

R

Tools

AWS QuickSight

Tableau

R Shiny

Job description

Overview

Job ID: 10479389 | Amazon.com Services LLC. The Region Flexibility Engineering (RFE) team builds and leverages foundational infrastructure capabilities, tools, and datasets needed to support the rapid global expansion of Amazon's SOA infrastructure. Our team focuses on robust and scalable architecture patterns and engineering best practices, driving adoption of ever evolving AWS technologies. RFE is looking for a passionate, results-oriented, inventive Data Scientist to refine and execute experiments toward our grand vision, influence and implement technical solutions for regional placement automation, cross region libraries, and tooling useful for teams across Amazon.

Key Job Responsibilities

• Work to enable Amazon businesses to leverage new AWS regions and improve efficiency and scale across Amazon Stores, Digital and Others businesses.
• Collaborate with product and technical leaders, advising AWS teams on SDO requirements.
• Identify enablers and blockers of region flexibility adoption, building models to assess impact of region changes and provide mitigation offerings.
• Drive the end-state architecture that enables services to break region coupling while retaining critical business functions within a region.
• Leverage data, information processing, machine learning, and generative AI to improve user experience, automation, service resilience, and operational efficiency.

Basic Qualifications

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

Preferred Qualifications

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Location: Sunnyvale, CA, USA. Salary range: 183,000 – 247,600 USD annually. Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.