Amazon Business Intel Engineer Customer Service Defect Elimination Science 

United States, Washington, Seattle 

772435583

Key job responsibilities- Engineer prompts for exercising Large Language Models (LLM) to support GenAI science projects
- Design and implement metrics and dashboards to assess the effectiveness of AI models
- Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding.
- Perform statistical analysis and statistical tests including hypothesis testing and A/B testing
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationA day in the life
In this role, you will work closely with science, engineering, and product teams to build data analytics pipelines, develop and implement science model evaluation metrics, and support GenAI projects in Voice-of-Customer discovery with prompt engineering tasks.
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of SQL and data warehousing concepts
- Strong statistical analysis, critical thinking, and problem-solving skills
- Exceptional communication and storytelling skills to convey complex ideas to technical and non-technical audiences

- Master's degree in sciences, engineering, finance or equivalent
- Basic knowledge and understanding of Machine Learning, Generative AI models, and Large Language Model prompting strategies
- Strong understanding of A/B testing, sampling methodologies, descriptive and inferential statistics