Applied Scientist - Causal Video & Live Commerce AI

Amazon

Seattle (WA)

On-site

USD 143,000 - 193,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon.com Services LLC in Seattle is seeking an Applied Scientist to join the DESA team and build production-grade models, experiments, and signals that close measurement gaps. You will own problems end-to-end—from framing research questions to deployment and A/B testing—working with data engineers and a business insights partner to deliver impact.

You will design causal attribution, content intelligence signals, and ranking features, ensuring production readiness and measurable ROI for brand

Qualifications

  • 3+ years building models for business applications.
  • PhD or Master with 4+ years CS/CE/ML experience.
  • Experience with Java, C++, Python and ML frameworks.
  • Experience with A/B testing and large-scale systems.
  • Familiarity with causal inference methods.

Responsibilities

  • Design and deploy causal attribution models and experiments.
  • Build brand lifecycle and campaign optimization models.
  • Design and run A/B experiments with proper methodology.
  • Develop multimodal content intelligence signals at scale.
  • Create ranking and personalization features for downstream systems.
  • Own end-to-end lifecycle from research to production deployment.
  • Present findings to senior leadership and cross-functional partners.

Skills

3+ years model building
CS/CE/ML background
Java, C++, Python
A/B testing
Distributed systems
Causal inference

Education

PhD or Master + 4+ years CS/CE/ML

Tools

Bedrock
SageMaker
Redshift
Cradle

Job description

Amazon.com Services LLC in Seattle is seeking an Applied Scientist to join the DESA team and build production-grade models, experiments, and signals that close measurement gaps. You will own problems end-to-end—from framing research questions to deployment and A/B testing—working with data engineers and a business insights partner to deliver impact.

You will design causal attribution, content intelligence signals, and ranking features, ensuring production readiness and measurable ROI for brand

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