The Job

Data Scientist, Seller Fee Science

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · Artificiell intelligens

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I korthet

Amazon's Seller Fee Science Team is seeking a Data Scientist to apply econometrics, machine learning, and AI to guide fee strategy and predict P&L, focusing on fee revenue. This role involves developing and deploying models, partnering with finance teams, and communicating scientific innovations at a global scale.

Ansvarsområden

  • Translate ambiguous business challenges into well-defined scientific problems with measurable impact.
  • Identify opportunities to improve fee revenue measurement, prediction, planning, structure, and level.
  • Identify opportunities to improve measurement and prediction of other P&L items at appropriate levels of granularity.
  • Design, develop, and deploy econometric or AI/ML models to understand the relationship between fees and costs or predict fee revenue and other P&L elements.
  • Partner closely with finance and fee strategy teams to formulate scientific questions, communicate results, and productionalize solutions.
  • Apply rigorous simulation methods to validate models and quantify business impact at scale.
  • Communicate scientific innovations and results clearly to cross-functional stakeholders.
  • Contribute to the broader internal and external scientific community through publications, talks, and technical artifacts.

Krav

  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • 1+ years of guiding and coaching a group of researchers experience
  • 1+ years of working with or evaluating AI systems experience
  • 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
  • Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
  • Experience applying theoretical models in an applied environment

Önskade kvalifikationer

  • Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
  • Knowledge of machine learning concepts and their application to reasoning and problem-solving
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company
  • Experience in defining and creating benchmarks for assessing GenAI model performance
  • Experience working on multi-team, cross-disciplinary projects
  • Experience applying quantitative analysis to solve business problems and making data-driven business decisions
  • Experience effectively communicating complex concepts through written and verbal communication

Förmåner

  • Inclusive culture empowers Amazonians to deliver the best results for customers.
  • Support for workplace accommodation and adjustment during the application, hiring, and onboarding process for individuals with disabilities.
#Data Science#Machine Learning#Artificial Intelligence#Econometrics#Fee Strategy#P&L Prediction
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Företag

Amazon

Publicerade jobb

för 3 veckor sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Mellannivå

Platser

Bengaluru, India

Kvalifikation

Masterexamen, Doktorand

Sökande

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