About the Role

Senior Data Scientist role focusing on Gen-AI and science initiatives for 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 to improve systems. The role involves collaborating with cross-functional teams to implement generative AI solutions and drive customer 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
• Apply advanced analytics techniques, AI/ML, and statistical concepts to derive insights from massive datasets
• Design experiments, build models, and develop metrics to understand system strengths and weaknesses

Required Skills & Qualifications

Must Have:

• 8+ years of data scientist or similar role experience involving data extraction, analysis, statistical modeling, and communication
• 6+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab)
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• Experience with statistical models e.g., multinomial logistic regression
• 5+ years of hands-on experience with Python to build, train, and evaluate models

Nice to Have:

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