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Data Scientist II, Worldwide Design Engineering - Data Science

Amazon Science 🇺🇸 Bellevue, Washington, United States of America

$136,000 - $184,000 Full-time

Analyze fulfillment network trends and operational performance to identify business opportunities and drive innovation. Lead the AI/ML research strategy and develop optimization-based solutions to improve warehouse throughput.

Responsibilities

  • Analyze fulfillment network trends and operational performance to identify business opportunities and drive innovation. Lead the AI/ML research strategy and develop optimization-based solutions to improve warehouse throughput.

Requirements

  • Requires a Master's degree in a quantitative field or a Bachelor's with 5+ years of experience, plus 2+ years of experience in data science and scripting languages. Must have a proven track record of developing and deploying AI products at scale.

Benefits

  • Medical Coverage
  • Dental Coverage
  • Vision Coverage
  • Maternity Leave
  • Parental Leave
  • Paid Time Off
  • 401(k) Plan
  • Sign-on Payments
  • Restricted Stock Units
  • Prescription Insurance
  • Basic Life & AD&D Insurance
  • Supplemental Life Plans
  • Employee Assistance Program
  • Mental Health Support
  • Medical Advice Line
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement

Key Skills

Data analysis Statistical modeling Machine learning AI research Optimization algorithms Python R SQL Scripting (e.g., Bash, PowerShell) Large‑scale AI product deployment Data pipeline development Experiment design Performance measurement Problem solving Technical writing Collaboration with engineering teams Visualization (e.g., Tableau, PowerBI) AWS or cloud services Distributed computing Version control (Git) Research methodology Presentation skills

About Amazon Science

Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

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