Data Scientist II - Fulfillment Optimization

Amazon Science

Bellevue (WA)

On-site

USD 136,000 - 184,000

Full time

3 hours ago
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Job summary

Amazon Science in Bellevue, WA is seeking a data scientist to analyze fulfillment network trends and drive AI/ML research strategy at scale. You will own the data science roadmap, develop production-grade analytics tools, and collaborate with engineers to translate research into scalable solutions for the fulfillment network.

The ideal candidate has 2+ years in data science or a related field, strong SQL/Python/R skills, and a proven ability to communicate across teams.

Qualifications

  • 2+ years in data scientist or similar role with data extraction, analysis, statistical modeling and communication experience.
  • 2+ years with SQL, scripting languages (Python) or statistical software (R, SAS, Matlab).
  • Master's degree in a quantitative field, or Bachelor's + 5+ years in a quantitative field, such as statistics, data science, economics, engineering, or CS.
  • Experience developing, deploying and managing AI products at scale.

Responsibilities

  • Analyze, model and interpret data for Amazon warehouse operational performance.
  • Predictive analysis using Machine Learning models at scale.
  • Translate frontier AI research into production-grade tools for process design developments.
  • Data analysis and modeling using Excel, Pivot tables, VBA, Tableau, SQL, R, Python.
  • Develop data and optimization-based solutions to improve fulfillment throughput.
  • Support process flows and data pipelines for site operations and engineering teams.

Skills

Data analysis
Statistical modeling
Communication
AI/ML concepts

Education

Master's degree in a quantitative field
Bachelor's + 5+ years in a quantitative field

Tools

SQL
Python
R
SAS
MATLAB

Job description

Amazon Science in Bellevue, WA is seeking a data scientist to analyze fulfillment network trends and drive AI/ML research strategy at scale. You will own the data science roadmap, develop production-grade analytics tools, and collaborate with engineers to translate research into scalable solutions for the fulfillment network.

The ideal candidate has 2+ years in data science or a related field, strong SQL/Python/R skills, and a proven ability to communicate across teams.

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