Applied Scientist: Price Insight & Evaluation

Amazon Science; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Job summary

Amazon Science in Seattle seeks an Applied Scientist to harness planet-scale multimodal data and build a self-learning price estimation and product understanding system, generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.

The role demands designing scalable ML solutions, evaluating them through offline benchmarks and online tests, and publishing work at scientific venues while collaborating across teams.

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master's with 4+ years CS/CE/ML experience.
• Experience with patents or publications at top-tier venues.
• Proficiency in Java, C++, or Python.

Responsibilities

• Research and use of statistical techniques to create scalable solutions for business problems.
• Design, build, and deploy effective and innovative ML solutions for pricing and product understanding.
• Evaluate proposed solutions via offline benchmarks and online A/B tests in production.
• Establish scalable, automated processes for large-scale data analyses, model development, validation and implementation.
• Publish and present work at internal and external scientific venues.

Skills

ML for business applications

Offline/online evaluation experience

Research and publications experience

Education

PhD in CS/CE/ML or related field

Master's with 4+ years relevant experience

Tools

Java

C++

Python

Job description

Amazon Science in Seattle seeks an Applied Scientist to harness planet-scale multimodal data and build a self-learning price estimation and product understanding system, generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.

The role demands designing scalable ML solutions, evaluating them through offline benchmarks and online tests, and publishing work at scientific venues while collaborating across teams.