Data Scientist II — Growth & Selection Science

Amazon Inc.

Asti

Ibrido

EUR 120.000 - 162.000

Tempo pieno

25 ore fa
Candidati tra i primi
Generatore di candidature

Trasforma questo ruolo in un colloquio — un curriculum e una lettera di presentazione personalizzati in base a ciò che cerca questo datore di lavoro.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Health insurance
401(k) matching
Paid time off
Parental leave

Descrizione del lavoro

Amazon is seeking a Data Scientist II, Selection Growth Science, to advance Seller growth analytics. You will partner with business, product, and engineering teams to design data-driven solutions and scalable ML models that drive growth and improve the selling experience.

Strong candidates have 2+ years in data science, 3+ years in ML, and a PhD or equivalent in a quantitative field. The role is based in Seattle with competitive compensation and RSUs as part of the package.

Competenze

  • 3+ years of experience with data querying languages (SQL) and scripting (Python) or statistical software (R/SAS/Matlab).
  • 2+ years of data scientist experience.
  • 3+ years of machine learning/statistical modeling and data analysis tools and techniques.
  • Experience applying theoretical models in an applied environment.

Mansioni

  • Identify opportunities to improve SP growth and translate into science problems.
  • Design and execute roadmaps for complex science projects with measurable impact.
  • Collaborate with engineering to meet latency and system constraints.
  • Communicate science innovations to internal and external scientific communities.

Conoscenze

SQL
Python
R
Data science experience
ML / statistical modeling
Applied ML
Generative AI
AI product integration

Formazione

PhD in CS/Math/Stats/ML or equivalent

Descrizione del lavoro

Amazon is seeking a Data Scientist II, Selection Growth Science, to advance Seller growth analytics. You will partner with business, product, and engineering teams to design data-driven solutions and scalable ML models that drive growth and improve the selling experience.

Strong candidates have 2+ years in data science, 3+ years in ML, and a PhD or equivalent in a quantitative field. The role is based in Seattle with competitive compensation and RSUs as part of the package.

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