Back to jobsJob overview

About the role

Senior Data Scientist, Amazon Global Selling -AIT at Amazon (Shanghai) International Trading Company Limited

Required Skills

pythonsqlai/mlstatistical modelinggenerative aidata visualizationdata pipelinesbusiness intelligence

About the Role

Senior Data Scientist role focusing on Gen-AI and science initiatives within Amazon Global Selling. Responsibilities include applying advanced analytics, AI/ML, and statistical techniques to derive insights from large datasets, designing experiments, building models, and developing metrics. The role involves collaborating with cross-functional teams to implement generative AI solutions and drive business impact.

Key Responsibilities

  • Collaborate with BIE, DE, PM, CSM to research, design, develop, and evaluate generative AI solutions
  • Interact with stakeholders to understand business problems and guide implementation of generative AI solutions
  • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations
  • Design experiments, build models, and develop metrics to evaluate system strengths and weaknesses
  • Turn findings into actionable reports and recommendations for customer impact

Required Skills & Qualifications

Must Have:

  • 8+ years of data scientist or similar role experience
  • 6+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical software
  • Master's degree in a quantitative field (e.g., statistics, mathematics, data science, engineering)
  • Experience with statistical models (e.g., multinomial logistic regression)
  • 5+ years of hands-on experience with Python for building, training, and evaluating models

Nice to Have:

  • 2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, etc.
  • Experience managing data pipelines
  • Experience as a leader and mentor on a data science team
  • Experience working collaboratively with data engineers and business intelligence engineers