Tema

Språk

Global EN
Sverige ENSV
Indien EN

Senior Data Scientist, IES CFX & Prime

Teknik, data och digitalt · Data, AI och analys · Datavetenskap

I korthet

We are seeking a Senior Data Scientist to apply machine learning and advanced statistical techniques to protect Amazon's online marketplace and enhance customer experience. You will develop and deploy end-to-end ML systems, analyze customer interactions, and innovate with GenAI technologies.

Ansvarsområden

  • Work independently across the end-to-end ML lifecycle: feature engineering, modeling, and MLOps to productionize models.
  • Apply machine learning and statistical techniques to create scalable abuse-detection solutions that identify fraudulent customer behavior, rings of accounts, identity change, holistic customer risk, and marketplace manipulation schemes.
  • Innovate with the latest GenAI technology to build highly automated solutions for efficient customer promotions.
  • Collaborate with cross-functional teams to develop comprehensive ML/statistical models that scale to millions of customers across 10+ countries.
  • Provide clear and compelling reports for solutions and contribute to team innovation and knowledge-sharing.
  • Build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.

Krav

  • 8+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience.
  • 8+ years of data scientist experience.
  • Experience with statistical models e.g. multinomial logistic regression.

Önskade kvalifikationer

  • Experience as a leader and mentor on a data science team.

Förmåner

  • Inclusive culture empowers Amazonians to deliver the best results for our customers.

Färdigheter

PythonSQLRSASMatlabmachine learningstatistical modelingGenAI
#Data Science#machine learning#statistical modeling#production#MLOps#GenAI
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Företag

Amazon

Publicerade jobb

för 2 veckor sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Senior

Platser

Bengaluru, India

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