Principal Economist, Program Valuation, Fashion Intelligence

At Amazon, we're committed to pioneering new frontiers in customer experience, and Fashion Tech is at the forefront of this mission.

Our programs and technologies are revolutionizing how customers interact with fashion products, presenting unique challenges and opportunities for quantifying their economic impact.

We're seeking a highly experienced Principal Economist with expertise in causal modeling to lead our efforts in understanding the economic impact of our efforts in this dynamic space.

Over the years, teams across Amazon have built systems that can value content and even optimize what is shown based on relevant value’ metrics.

However, understanding attribution and program incrementality continue to be challenges that require tying the business context with the most relevant methodology from an array of possible ones.

The person in this role will work with finance, CBA and business owners to define the right metrics and methodologies to compute attributed and incremental value of programs and features, while leveraging existing frameworks wherever applicable.

We want to answer questions like If this program didn’t exist, what is the total economic value to Amazon that we would stand to lose?

and What is the ongoing business impact of this CX post-launch? .

Key job responsibilities

• Spearhead collaborative efforts with finance, CBA (Cost-Benefit Analysis), and business teams to define robust metrics and methodologies for measuring the attributed and incremental value of Fashion Tech programs and features.
• Develop advanced frameworks and models to assess the causal economic impact of content, programs, and customer experience enhancements throughout the customer purchase funnel.
• Lead the resolution of complex challenges related to content attribution and program incrementality, leveraging existing systems and methodologies while exploring innovative approaches where necessary.
• Conduct in-depth economic analyses to address critical business questions, such as estimating the economic value of key programs and evaluating the ongoing business impact of post-launch customer experience improvements.
• Drive cross-functional collaboration with data scientists, economists, and business leaders to integrate economic insights into strategic decision-making processes and shape future initiatives.
• Stay at the forefront of industry trends, economic research, and best practices in causal modeling and econometric techniques, continuously enhancing our methodologies and frameworks to ensure relevance and effectiveness.

About the team

The Fashion Tech organization has a mission to make Amazon the most-loved fashion destination globally through technology by building novel experiences that bring a diverse breadth of customers to shop fashion in the Amazon store.

The Fashion Intelligence team improves the speed, accuracy, and standards of data driven decisions across all programs within Fashion Tech.

As a central analytics team, our goal is to break silos and identify interconnectedness across Fashion Tech programs, keeping the customer at the center.

We are open to hiring candidates to work out of one of the following locations :

Austin, TX, USA Los Angeles, CA, USA New York City, NY, USA Seattle, WA, USA

BASIC QUALIFICATIONS

• PhD in Economics, Econometrics, Statistics, or a related quantitative field.
• 8+ years of experience in applied economics, with a proven track record of leadership and impact in a technology or e-commerce environment.
• Expertise in advanced causal modeling techniques, both in experimental and observational settings
• Fluency in at least one statistical software package such as R, Stata, Matlab, SAS.

PREFERRED QUALIFICATIONS

• 10+ years of relevant experience in industry, consulting, government or academic research.
• Expertise with both reduced-form and structural modeling.
• Hands-on experience with machine learning techniques for prediction and classification problems.
• Proven ability to mentor and develop junior scientists.
• Excellent written and verbal technical communication with both technical and business audience.
• Demonstrated success in leading cross-functional projects and driving organizational change through data-driven decision-making.
• Ability to thrive in a fast-paced, dynamic environment, managing ambiguity and uncertainty with poise and resilience.
• Exceptional communication skills, with the ability to distill complex economic concepts into actionable insights for diverse stakeholders.
30+ days ago