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Description

The Creator team’s mission is to make Amazon the Earth’s most desired destination for commerce creators and their content. We own the Associates and Influencer programs and brands across Amazon to ensure a cohesive experience, expand creators’ opportunities to earn through innovation, and launch experiences that reinforce feelings of achievement for creators.

We are looking for a Senior Economist who is able to provide structure around complex business problems, hone those complex problems into specific scientific questions, and test those questions to generate insights. In this role, you will be responsible for leading the design and development of causal estimation models, measuring the incremental impact of creator channel, and estimating the impact on sparse customer actions. You will work with various science, engineering, operations, and analytics teams to estimate models and algorithms, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. You will also coach and guide junior scientists in the team to grow the team’s talent and scale the impact of your work.

Key job responsibilities

• Perform causal analysis using experimental and observational study methods to evaluate the impact of business initiatives

• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.

• Develop and implement advanced econometrics, machine learning, or other mathematical methodologies to solve specific business problems

• Coordinate research and analysis using unstructured and structured data and when necessary use scripting languages to clean and organize data

• Communicate and coordinate effectively between tech teams and business stakeholders to implement data-driven strategies

A day in the life

In this role, you’ll utilize your econometric, data analytics and visualization, and creative and critical problem-solving skills to measure the causal impact of business initiatives. You will own the entire project lifecycle from design, test, implementation, to discrimination of findings. Conclusions and recommendations drawn from your experiments will influence critical business decisions, and inform future science initiatives.

About the team

Our team is dedicated to supporting new members. We have a broad mix of domain specialists (Economics, Data Science, Applied Science), experience levels, and tenures, and we’re building an environment that celebrates knowledge discovery, sharing, and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

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

New York City, NY, USA | Seattle, WA, USA

Basic Qualifications

• PhD in economics or equivalent

Preferred Qualifications

• Experience in analytics and applied economics

• Experience in developing and executing an analytic vision to solve business-relevant problems

• Experience in building statistical models using R, Python, STATA, or a related software

• Experience in industry, consulting, government or academic research

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.