Applied Scientist II - Targeting & Online Optimization

Amazon Science

Seattle (WA)

In loco

USD 143.000 - 193.000

Tempo pieno

28 ore fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Health insurance
401(k) matching
Paid time off
RSUs/sign-on

Descrizione del lavoro

Amazon Science in Seattle, WA is seeking an Applied Scientist to advance targeting for Amazon’s marketing initiatives across channels and ad formats. You will turn business questions into modeling problems and guide solutions from prototype to production while collaborating with senior scientists and engineers.

You will work on online optimization, incrementality modeling, and agentic workflows that make science recommendations actionable for business partners.

Competenze

  • 3+ years building models for business applications.
  • Experience with patents or publications in top-tier conferences or journals.
  • Proficiency in Java, C++, Python or related language.
  • Experience in algorithms, data structures, numerical optimization, data mining, parallel and distributed computing, HPC.
  • PhD or Master’s + 3+ years applied research experience.

Mansioni

  • Build online optimization (e.g., TSO, bandits) and reinforcement learning methods to optimize targeting outcomes.
  • Develop incrementality and uplift models to estimate causal impact of targeting.
  • Improve the segment-based targeting model with new features and architectures.
  • Contribute to the intelligence layer of the agentic system and explain targeting decisions.
  • Design and analyze experiments (A/B tests, causal inference) to measure impact.
  • Write production-quality model code and deploy with engineers.
  • Present methods and results with data-driven recommendations.

Conoscenze

Modeling for business applications
Java
C++
Python
Algorithms & data structures
Numerical optimization
Data mining
Parallel & distributed computing
High-performance computing
Reinforcement learning

Formazione

PhD or Master's with 3+ years of applied research

Strumenti

Unix/Linux

Descrizione del lavoro

Amazon Science in Seattle, WA is seeking an Applied Scientist to advance targeting for Amazon’s marketing initiatives across channels and ad formats. You will turn business questions into modeling problems and guide solutions from prototype to production while collaborating with senior scientists and engineers.

You will work on online optimization, incrementality modeling, and agentic workflows that make science recommendations actionable for business partners.

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