Amazon
Survey Research Scientist, Strategy and Insights, Reputation Marketing & Insight
Amazon, Seattle, Washington, us, 98127
Survey Research Scientist, Strategy and Insights, Reputation Marketing & Insights Job ID: 2797723 | Amazon.com Services LLCYour primary responsibility as a Survey Research Scientist on the Reputation Marketing & Insights team will be to provide research support for a global reputation tracking survey. You will be responsible for conducting basic and advanced modeling on attitudinal and perception-based survey data, as well as developing the mechanisms to ensure statistical rigor in our sampling and weighting practices. You will partner with market researchers, media analysts, and strategists from across our team to dive deep into data, establish strategic territories, and identify audience opportunities in order to guide the broader Communications and Corporate Responsibility (CCR) organization.
Learn more about the general tasks related to this opportunity below, as well as required skills.
The work will challenge you to be resourceful, think big while staying connected to the details, translate advanced analytics into strategic direction, and embrace a high degree of change and ambiguity at speed. The scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing. This is an individual contributor role.
Key job responsibilities
Conduct basic and advanced modeling on survey data (e.g., regression, structural equation modeling, latent growth curve modeling, Shapley analysis, etc.)Write code to generate data tables and chartsDevelop experiments to improve survey design, data quality, and drive causal learningsIdentify opportunities to simplify existing research processes and operate more nimblyManage the vendor data ingestion pipeline and partner with data engineers to launch and maintain a data dashboardEngage in strategic discussions with partner teams to ensure our research generates actionable and on-point findingsScale learnings and insights to other teams in CCR and the broader Amazon marketing and communications communityIdentify messaging opportunities and inform communication strategies that will bolster Amazon’s reputation
About the teamThis team sits within the Communications and Corporate Responsibility (CCR) organization. Our focus is on conducting research that tracks reputational trends on a global scale and informs communication strategies for Amazon as a brand.BASIC QUALIFICATIONS
PhD, or Master's degree and 4+ years of quantitative field research experienceKnowledge of R and SQLAbility to run and interpret statistical models (e.g., regressions, structural equation modeling, Shapley models, etc.)3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experienceExperience working with and analyzing survey and perception tracking dataExcellent written and verbal communication skills, with an ability to communicate research to executive leaders and audiences that do not have a technical backgroundDemonstrated ability to work independently and autonomouslyProven ability to work in an interdependent team and develop processes at scaleDetail-oriented, with an ability to move fast and adapt to changePREFERRED QUALIFICATIONS
Experience building data dashboardsExperience with qualitative research methods and LLM-based analysis techniquesKnowledge of AWS platforms such as S3, Glue, Athena, SagemakerKnowledge of machine learningExperience with research vendor managementAmazon 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.
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Learn more about the general tasks related to this opportunity below, as well as required skills.
The work will challenge you to be resourceful, think big while staying connected to the details, translate advanced analytics into strategic direction, and embrace a high degree of change and ambiguity at speed. The scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing. This is an individual contributor role.
Key job responsibilities
Conduct basic and advanced modeling on survey data (e.g., regression, structural equation modeling, latent growth curve modeling, Shapley analysis, etc.)Write code to generate data tables and chartsDevelop experiments to improve survey design, data quality, and drive causal learningsIdentify opportunities to simplify existing research processes and operate more nimblyManage the vendor data ingestion pipeline and partner with data engineers to launch and maintain a data dashboardEngage in strategic discussions with partner teams to ensure our research generates actionable and on-point findingsScale learnings and insights to other teams in CCR and the broader Amazon marketing and communications communityIdentify messaging opportunities and inform communication strategies that will bolster Amazon’s reputation
About the teamThis team sits within the Communications and Corporate Responsibility (CCR) organization. Our focus is on conducting research that tracks reputational trends on a global scale and informs communication strategies for Amazon as a brand.BASIC QUALIFICATIONS
PhD, or Master's degree and 4+ years of quantitative field research experienceKnowledge of R and SQLAbility to run and interpret statistical models (e.g., regressions, structural equation modeling, Shapley models, etc.)3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experienceExperience working with and analyzing survey and perception tracking dataExcellent written and verbal communication skills, with an ability to communicate research to executive leaders and audiences that do not have a technical backgroundDemonstrated ability to work independently and autonomouslyProven ability to work in an interdependent team and develop processes at scaleDetail-oriented, with an ability to move fast and adapt to changePREFERRED QUALIFICATIONS
Experience building data dashboardsExperience with qualitative research methods and LLM-based analysis techniquesKnowledge of AWS platforms such as S3, Glue, Athena, SagemakerKnowledge of machine learningExperience with research vendor managementAmazon 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.
#J-18808-Ljbffr