The Job

Data Scientist II, Seller Fee Science

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

Gå med för uppdateringar

I korthet

The Seller Fee Science Team at Amazon is seeking a Data Scientist II in Bengaluru, India, to apply econometrics, machine learning, and AI to guide fee strategy and predict P&L. This role involves translating business challenges into scientific problems, developing and deploying models, and collaborating with finance teams to influence fee decisions and impact millions of sellers globally.

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 items of the P&L, at appropriate levels of granularity.
  • Design, develop, and deploy econometric or AI/ML models that improve our understanding of the relationship between fees and costs, or predict fee revenue, and other elements of the P&L.
  • 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 and 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
#data science#machine learning#AI#econometrics#fee strategy#P&L prediction#revenue measurement
Amazon Logo

Företag

Amazon

Publicerade jobb

för 3 veckor sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Mellannivå

Platser

Bengaluru, India

Kvalifikation

Masterexamen, Doktorand

Sökande

Ansök tidigt