We are seeking a highly skilled Senior Economist responsible for measuring and understanding how our product and service defects impact customers and then assist teams across Amazon in prioritizing their resolution through insightful analysis and strategic recommendations.
You will spearhead efforts to estimate the benefits of different remediation actions to optimize how we respond to customer contacts and and value the impact of changes to our concession policy with the goal of enhancing the overall customer experience across our platform.
Key job responsibilities
- Development of Causal, Economic, and Machine Learning models at scale.
- Lead Scientific Research, coordinate efforts across teams, develop scientific culture.
- Lead strategic discussions with senior leaders across the company to guide and inform policies.
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets.
If you’re passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children.
Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include :
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
The Worldwide defect elimination team's mission is to understand and resolve all issues impacting customers at scale. The Economics team is a force multiplier within this group, helping to understand the impact of these issues, changes to our policies, and optimizing the customer experience.
BASIC QUALIFICATIONS
- PhD in economics or equivalent
- Experience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods
- Ability to handle multiple competing priorities in a fast-paced environment
- Excellent written and verbal communication skills
- 5+ Years of Experience Developing Causal Models
PREFERRED QUALIFICATIONS
- Experience in building statistical models using R, Python, STATA, or a related software
- Track record of scientific publications
- 7+ years of modeling experience
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