Economist, Stores Ads Science, Stores Ads Science
This is an opportunity to use economics and applied science to maximize the overall value prop of Amazon to shoppers, advertisers and merchants by jointly optimizing for the Stores and Ads business.
We are hiring an Economist who is excited to work on some of the most ambiguous problems at the company with the largest potential impact.
In this role you will be working to evolve core algorithms that allocate roughly 25% of the pixels on the Amazon website and App.
This will include inventing novel algorithms such leveraging ML for causal inference at scale, bandits and RL all while respecting privacy, context and heterogeneity across Ads and organic content.
We are looking for expertise in causal inference and statistics.
The goal is to invent new science and metrics to help people find what they want.
Cross organization impact is likely meaning there is material career growth upside for this position.
You will work collaboratively with a team of economists, applied scientists, and engineers in this position.
You will help us think about big questions including but not limited to:
How can we improve the customer experience by tailoring what we display on our pages based on available data? How do we build models that help us innovate in different ways to enhance customer experience? What is the relationship between what customers do on the site vs.
what they actually buy?Your work will directly benefit shoppers, advertisers, and the Stores business by improving measurement creating and using new scientific tools.
We are looking for a passionate, hard-working, and talented Economist who has experience building mission critical, high volume applications that customers love.
You will have an opportunity to make an enormous impact on the design, architecture, and implementation of cutting edge products used everyday by people you know.
About the teamOur 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, served on program committees of Economics and CS conferences.
At the same time we are focused on driving real change for the business.
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?We are open to hiring candidates to work out of one of the following locations:
Los Angeles, CA, USA New York City, NY, USA Seattle, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
We are hiring an Economist who is excited to work on some of the most ambiguous problems at the company with the largest potential impact.
In this role you will be working to evolve core algorithms that allocate roughly 25% of the pixels on the Amazon website and App.
This will include inventing novel algorithms such leveraging ML for causal inference at scale, bandits and RL all while respecting privacy, context and heterogeneity across Ads and organic content.
We are looking for expertise in causal inference and statistics.
The goal is to invent new science and metrics to help people find what they want.
Cross organization impact is likely meaning there is material career growth upside for this position.
You will work collaboratively with a team of economists, applied scientists, and engineers in this position.
You will help us think about big questions including but not limited to:
How can we improve the customer experience by tailoring what we display on our pages based on available data? How do we build models that help us innovate in different ways to enhance customer experience? What is the relationship between what customers do on the site vs.
what they actually buy?Your work will directly benefit shoppers, advertisers, and the Stores business by improving measurement creating and using new scientific tools.
We are looking for a passionate, hard-working, and talented Economist who has experience building mission critical, high volume applications that customers love.
You will have an opportunity to make an enormous impact on the design, architecture, and implementation of cutting edge products used everyday by people you know.
About the teamOur 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, served on program committees of Economics and CS conferences.
At the same time we are focused on driving real change for the business.
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?We are open to hiring candidates to work out of one of the following locations:
Los Angeles, CA, USA New York City, NY, USA Seattle, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
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