Love science and data? So do we! The Amazon Ads organization is looking for an experienced Quantitative Researcher to deliver data and insights that help deepen our understanding of advertisers and drive business actions and product roadmaps. You will be joining the Advertiser User Experience team, whose mission is to surface timely, scientifically-grounded insights about advertisers to guide Ads product, eng, and sales.
The ideal candidate will have a strong background in quantitative research methods, excellent analytical skills, comfort with ambiguous problem spaces and large-n data sets, and a passion for understanding individual-level attitudes and behavior. Experience with sampling design and survey data weighting is desirable.
As a Quantitative Researcher with the Advertiser User Experience, you will be responsible for designing, conducting, and analyzing quantitative research studies that help product, sales, and engineering teams in Amazon Ads better understand our advertisers' preferences, experiences, and behaviors. You will own research projects end-to-end, including measurement strategy, data collection, analysis, and reporting to peers and business leaders. You will work closely with cross-functional teams, including product managers, marketing managers, and engineers. You should have deep expertise in the design, creation, management, and business use of surveys, randomized experiments (including conjoints, maxdiff, and other choice tasks), and the latest quantitative research tools. Competency in mixed-methods or qualitative approaches is also desirable.
Key job responsibilities
* Work closely with product, sales, and engineering teams, as well as fellow researchers and designers, to identify research topics and build a research roadmap; communicate and refresh on a regular basis to ensure relevancy.
* Create a deep understanding of advertisers through descriptive, inferential, and experimental approaches (existing or invented) that you identify as being most effective for answering a given business question.
* Design, implement, and analyze data from surveys, randomized experiments, and other large-n data sets.
* Work with business intelligence teams to triangulate survey data with advertiser engagement and segmentation data.
* Create repeatable and scalable mechanisms to measure key advertiser metrics that drive product iteration.
* Synthesize a wide range of primary and secondary data types leading to focused, insightful, and actionable insights that persuade and inspire partners and leaders to take concerted, informed actions.
* Work closely with research peers to promote best practices, build resources, and train team members to enable them to execute their own research projects.
A day in the life
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious and earn trust.* BA/BS in statistics, experimental psychology, cognitive science, a quantitative social science, human computer interaction, behavioral economics or related discipline
* 4+ years of hands-on experience conducting quantitative research in an applied setting
* Experience with survey programming and administration tools (e.g., Qualtrics)
* Experience with data analysis and visualization tools (e.g, SPSS, R, SAS, Matlab, Excel with advanced functions)
* End-to-end experience with all aspects of research (study design, recruiting, moderation, analysis, reporting)
* Deep knowledge of behavioral statistics and the principles of experimental design
* Experience in advanced statistical techniques (e.g., regression, factor analysis, Conjoint, MaxDiff) for survey design and analysis
* Excellent communication, presentation, interpersonal and analytical skills; the ability to communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization
* Portfolio of research artifacts demonstrating past work experience, deliverables, and extraction of actionable insights from quantitative data
* Fluent in both Mandarin and English* MA/MS in statistics, experimental psychology, cognitive science, a quantitative social science, human computer interaction, behavioral economics or related discipline
* 7+ years working as a researcher in a fast-paced product development environment
* Research experience related to consumer technology, multimodal devices, and/or AI
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,100/year in our lowest geographic market up to $193,600/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.
