Applied Scientist, Ads Measurement Science

Amazon Amazon · Big Tech · NY +1 · Applied Science

Applied Scientist role at Amazon Ads focused on developing and productionizing end-to-end measurement solutions using Generative AI, classical ML, Causal Inference, NLP, and Computer Vision to provide insights and automate workflows for advertisers.

What you'd actually do

  1. Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems
  2. Disambiguate problems to propose clear evaluation frameworks and success criteria
  3. Work autonomously and write high quality technical documents
  4. Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production
  5. Partner closely with other scientists to deliver large, multi-faceted technical projects

Skills

Required

  • building models for business application
  • Java
  • C++
  • Python
  • algorithms and data structures
  • parsing
  • numerical optimization
  • data mining
  • parallel and distributed computing
  • high-performance computing

Nice to have

  • Unix/Linux
  • professional software development

What the JD emphasized

  • productionize models
  • production
  • productionize

Other signals

  • develops solutions for a multitude of performance measurement products
  • create solutions which measure the comprehensive impact of advertiser's ad spend
  • provide actionable insights that enable our advertisers to optimize their media portfolios
  • own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows
  • leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision
  • propose, design, analyze, and productionize models to provide novel measurement insights to our customers