Applied Scientist Ii, Amazon B2b Payments and Lending

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Applied Scientist II role in Amazon B2B Payments and Lending, focusing on leveraging ML, GenAI, Causal Inference, Reinforcement Learning, and Experimentation to answer product and customer behavior questions, build financial product solutions, and provide strategic direction. Requires 3+ years of model building experience, a PhD or Master's with 4+ years of experience, and publication/patent experience.

What you'd actually do

  1. combine their technical expertise with business acumen to generate critical insights that will set the strategic direction of the business.
  2. be a thought leader on the team, help set the team's strategic focus and roadmaps, and design and build systems/solutions that support financial products, working closely with business/product partners and engineers.
  3. utilize ML/GenAI/Causal Inference/Reinforcement Learning/Experimentation methodologies, data and coding skills, problem solving and analytical skills, and excellent communication to deliver customer value.

Skills

Required

  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development

What the JD emphasized

  • patents or publications at top-tier peer-reviewed conferences or journals

Other signals

  • ML/GenAI/Causal Inference/Reinforcement Learning/Experimentation methodologies
  • build flexible and global solutions
  • technical leader