Job Location: Remote
**BASIC QUALIFICATIONS**
· PhD in economics, finance, quantitative marketing, or related field
· Experience in industry, consulting, government or academic research
· Experience in one or more of the following methods: reduced-form causal analysis, experimental design, causal machine learning
Job summary
Workforce Staffing is responsible for hiring hourly associates into our global fulfillment operation. Each year we hire hundreds of thousands of associates across the globe. Market Intelligence, a subsidiary of Workforce Staffing, applies data and insights to optimize the experience and operations for Amazon’s largest candidate population who bring the magic of Amazon’s industry-leading brand promise for customer fulfillment to life. We are an interdisciplinary team that combines the talents of economics, science, analytics, and engineering to develop and deliver solutions that are continually shaping and writing the future of the hourly worker job offering landscape.
We are looking for an economist with expertise in applying causal inference, experimental design, or causal machine learning techniques to topics in labor or related applied economics. They will collaborate with business partners to define and deliver economic thinking that guide strategic decisions. They will work closely with data scientists and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis to business actions that have a major impact.
Ideal candidates will own key inputs to all stages of research projects, including data requirements, model development, experimental design, and data analysis. They will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, listen to and incorporate partner feedback, and deliver successful solutions.
**Inclusive Team Culture**
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.
*Flexibility*
It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.
*Mentorship & Career Growth*
We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we’ll help you get there. Our business is growing fast and our people will grow with it.
- Applicants with considerably more experience, including mid-career, are also strongly encouraged.
- Proven track record in research and solution of business problems leveraging techniques from economics
- Strong background in statistics methodology, applications to business problems, and/or big data.
- Ability to work in a fast-paced business environment.
- Effective verbal and written communications skills
- Experience collaborating on interdisciplinary teams
- Advanced coding ability in STATA, R, and/or Python.
The pay range for this position in Jersey City is $136,000 – 184,000/yr; 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 Pay Transparency Regulation of Jersey City Municipal Code. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.
The pay range for this position in Colorado is $136,000 – 184,000/yr; 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.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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