Economist II, Featured Merchant Algorithm
About the role
The Amazon Buying Experience organization aims to be the world’s first and most trusted choice for every customer to discover and evaluate any product or service. Our team blends machine‑learning models to rank and select the best offer from the most trusted merchant for all products sold on Amazon, while delivering a world‑class front‑end user experience for offer comparison to global customers. We enable developers—including our own—to create tailored shopping experiences for every customer, product, business, and marketplace offered by Amazon, and we build scalable, extensible frameworks that let many teams innovate within the Offers Experience in a federated manner. If you are passionate about influencing and delivering the next‑generation Amazon customer buying experience, we want to meet you.
Responsibilities
- Work with business stakeholders throughout Amazon and provide technical direction and business expertise to strategize and help launch new businesses and features for customers.
- Use data to justify customer‑friendly decisions and present customer and financial impact of changes to stakeholders.
- Collaborate with economists, engineers, product managers, applied scientists, TPMs, managers, and senior leadership to understand and drive business impact.
- Contribute to the Featured Merchant Algorithm (FMA) team that owns Tier‑I systems and machine‑learning algorithms selecting the offer for the Buy Box and Amazon Search Pages, ensuring the featured offer provides the best possible customer value based on price, availability, delivery options, and customer service.
- Help innovate on the Amazon “Buy Box”—the most valued real‑estate in e‑commerce—across desktop, mobile, tablet, and Alexa shopping surfaces.
Qualifications
Basic Qualifications
- PhD in economics or equivalent
Preferred Qualifications
- 2+ years of industry, consulting, government, or academic research experience
- Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
- Experience in prediction and forecasting in a research or industrial environment
- Experience handling large datasets
Successful candidates will also have
- Experience working on multiple projects with different stakeholders
- A track record of making data‑driven decisions
- Strong communication skills to interact with executives, non‑technical and technical individuals
- A high technical bar along with a passion for people and project management
Benefits
- Sign‑on payments and restricted stock units (RSUs)
- Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D, option for supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Par