Amazon

Amazon

Sr Applied Scientist, Core Shopping Data Science

Seattle, Washington, USA · Senior

Sponsorship not specified$167k-$226kDetected 1 day ago
PythonJavaC++Distributed SystemsMachine LearningDeep LearningTensorFlowscikit-learnNumPySparkData ScienceLLMsOnboardingResearchHadoop

> stay_score

odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

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About the role

  • We are a small team, which means your work is visible and your scope grows as fast as you do.

Requirements

  • PhD, or Master's degree and 6+ years of applied research experience.
  • Experience programming in Java, C++, Python or related language.

Nice to have

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc..
  • Experience with large scale distributed systems such as Hadoop, Spark etc.
  • USA, WA, Seattle

Skills

  • A customer may encounter a recommendation that is irrelevant, two widgets offering similar products, and confusing labels.
  • LLMs changed that.
  • Every shopping session passes through those systems under latency and cost budgets that leave no room for one.
  • It is an unusual combination of problems:

Compensation

  • $167k-$226k

Company info

  • Key job responsibilities - You will model how customers respond to the defects they encounter.
  • Core Shopping Data Science owns the measurement of shopping quality across Amazon's Homepage, Search, and Detail Page experiences, including the company-level defect metrics reviewed by Amazon's most senior leadership.

This listing is sourced directly from Amazon's careers page and normalized into a canonical job model.