The Ads business at Amazon has grown significantly in the past 5 years. At the same time, the consumer business has been vibrant for over 20 years and many mechanisms that support it were developed before the emergence of the Ads business. There is an opportunity to jointly optimize many facets of the consumer and Ads business to maximize the overall value prop of Amazon to customers, sellers and the business all up.
We are hiring an economist who is excited to work on some of the most ambiguous and fascinating problems at the company with the largest potential impact. A key deficit in jointly optimizing the consumer and Ads business is a lack of economic frameworks to evaluate our business units together. Another is efficient incrementality-based bandit and RL solutions to arbitrate different types of content. Creating cross-organization data-centric frameworks characterizing complementarities and tradeoffs will be a key component of this position. This is largely a greenfield area but there are already many data assets in place for the right deep thinker to create value. Cross organization impact is likely meaning there is material career growth upside for this position. You will work collaboratively with a team of economists, data scientists, and engineers in this position.
About the team
Our team takes big swings and handles the toughest, high visibility challenges there are. We have external executive exposure on all workstreams (e.g., not the VP on our team but the partner teams). We also ask people to grow their skills and stretch but make sure that its done in a supportive and fun environment. It’s about impact, advancement, and fun on our team. We’re transparent about motivation for all of our projects: you’ll know precisely why the work you’re doing is important. Lastly, we work hard during work hours but we also don’t encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn’t a successful long run strategy. Because we invest in the long run success of our group it’s important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement.
Our group is also very rigorous: every director level leader and above in our org has > 20 academic publications, have been co-editors of top academic journals, and serves on program committees of Economics and CS conferences. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn’t translate into actionable insights that are rolled out and impact the real economy. We are communication-centric since being able to explain what we do ensures high success rates and lowers administrative churn. Also: we laugh a lot. If it’s not fun, what’s the point?
- PhD in Economics or closely related field
Ph.D. in economics or related field like CS, Marketing, etc.
Experience in industry, consulting, government or academic research or equivalent.
Proven track record in conducting research and solving business problems leveraging techniques from economics or related disciplines.
Advanced coding ability in a scripting language such as Python, R, and STATA.
Background in causal inference
Ability to work in a fast-paced business environment.
Effective verbal and written communications skills.
Experience with big data tools such as Spark is a plus.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.