Amazon - Arlington, VA

posted 8 days ago

Full-time - Mid Level
Arlington, VA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

As a Survey Research Scientist on the Reputation Marketing & Insights team at Amazon, you will provide research support for internal employee communications tracking surveys. Your role involves conducting advanced modeling on survey data, ensuring statistical rigor in sampling and measurement practices, and identifying audience opportunities to guide the Internal Corporate Communications team. This position requires a blend of analytical skills and strategic thinking to translate data insights into actionable communication strategies.

Responsibilities

  • Conduct basic and advanced modeling on survey data (e.g., regression, structural equation modeling, latent growth curve modeling, Shapley analysis, etc.)
  • Design new studies and mechanisms to measure the perception impact of internal communications
  • Develop experiments to improve survey design, data quality, and drive causal learnings
  • Write code to generate data tables and charts
  • Manage the data ingestion pipeline, maintain, and improve existing data dashboard
  • Engage in strategic discussions with partner teams to ensure our research generates actionable and on-point findings
  • Identify messaging opportunities and inform internal communication strategies that will drive primary KPIs

Requirements

  • 4+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
  • PhD, or Master's degree and 5+ years of quantitative field research experience
  • Experience communicating qualitative research methods and findings to non-qualitative researchers
  • Knowledge of R or Python
  • Ability to run and interpret statistical models (e.g., regressions, structural equation modeling, Shapley models, etc.)

Nice-to-haves

  • Experience converting research studies into tangible real-world changes
  • Experience with qualitative research methods and LLM-based analysis techniques

Benefits

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