Economist II, Funnel Science and Analytics
Amazon Prime Air •
Workforce Staffing (WFS) brings together the workforce powering Amazon’s ability to delight customers: the Amazon Associate. With over 1M hires, WFS supports sourcing, hiring, and developing the best talent to work in our fulfillment centers, sortation centers, delivery stations, shopping sites, Prime Air locations, and more.
WFS Funnel Science and Analytics team is looking for an Economist. This individual will be responsible for building models of candidate decision making. The perfect candidate will have the applied experience and the theoretical knowledge to understand how candidates make trade-offs and ultimately choose between job offerings (both Amazon and non-Amazon), and identify modifiable factors to impact candidate conversion.
Key job responsibilities
As an economist in our team, you will conduct primary research to capture candidate stated preferences and trade-offs (choice modeling).
Conduct secondary research to capture revealed preferences by analyzing historical data from databases (Redshift, SQL Server, and Salesforce).
Use information generated by other scientists from interviews, focus groups, and observations to deeply understand our candidates.
Develop and own models of candidate decision making and conduct experiments to validate and refine those models.
Develop metric(s) that can be used to operationalize interventions to increase perceived value of job offerings and consequently conversion.
About the team
Funnel Science and Analytics team finds ways to maximize the conversion and early retention of every candidate who wants to be an Amazon Associate. By focusing on our candidates, we improve candidate and business outcomes, and Amazon takes a step closer to being Earth’s Best Employer.
PhD in Economics or closely related field.
Experience in consulting, academia, government, or industry.
Experience in R, Python, or a related software.
Experience working with an interdisciplinary science and business team.
Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
Ability to learn and implement new methods.
Ability to communicate relevant scientific insights from data to non-technical audience.
The pay range for this position in Colorado is $136,000 - 184,000 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
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.
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