Survey Research Scientist, Strategy and Insights, Reputation Marketing & Insights

$136,000 - $212,800/Yr

Amazon - Arlington, VA

Full-time - Mid Level

Arlington, VA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Survey Research Scientist role within the Reputation Marketing & Insights team at Amazon focuses on providing research support for a global reputation tracking survey. The position involves conducting advanced modeling on survey data, ensuring statistical rigor in sampling and weighting practices, and collaborating with various teams to derive actionable insights that inform communication strategies for Amazon's brand reputation.

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 charts
• Develop experiments to improve survey design, data quality, and drive causal learnings
• Identify opportunities to simplify existing research processes and operate more nimbly
• Manage the vendor data ingestion pipeline and partner with data engineers to launch and maintain a data dashboard
• Engage in strategic discussions with partner teams to ensure our research generates actionable and on-point findings
• Scale learnings and insights to other teams in CCR and the broader Amazon marketing and communications community
• Identify messaging opportunities and inform communication strategies that will bolster Amazon's reputation

Requirements

• PhD or Master's degree and 4+ years of quantitative field research experience
• Knowledge of R and SQL
• Ability 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 experience
• Experience working with and analyzing survey and perception tracking data
• Excellent written and verbal communication skills, with an ability to communicate research to executive leaders and audiences that do not have a technical background
• Demonstrated ability to work independently and autonomously
• Proven ability to work in an interdependent team and develop processes at scale
• Detail-oriented, with an ability to move fast and adapt to change

Nice-to-haves

• Experience building data dashboards
• Experience with qualitative research methods and LLM-based analysis techniques
• Knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker
• Knowledge of machine learning
• Experience with research vendor management

Benefits

• Medical insurance
• Financial benefits
• Equity options
• Sign-on payments
• Comprehensive employee benefits package