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 →> community_outcomes
No reports yet — be the first to help the next applicant.
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.