Amazon Business Intel Engineer Customer Service Defect Elimination Science 

United States, Washington, Seattle 

986824102

Key job responsibilities
- Design and implement metrics and dashboards to measure the success and effectiveness of science models by understanding the nuances and potential pitfalls.
- Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets.
- 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 pipelines, develop and implement science model evaluation metrics, and support defect elimination science model development.
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
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Proficient in descriptive statistics.
- Exceptional communication skills, with the ability to convey complex ideas in a clear and concise manner.
- Strong critical thinking and problem-solving skills.

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Strong understanding of A/B testing, sampling methodologies, and other statistical analysis.
- Basic knowledge of Machine Learning and scientific modeling techniques.