Research Scientist, Selling Partner Satisfaction

Were looking for a Research Scientist to join a team that measures and explains how over 2.4 million sellers and vendors experience selling on Amazon. Youll apply survey science psychometrics and applied statistics to help drive meaningful change at Amazon on behalf of Sellers.

In this role youll work across a variety of research methodologies to optimize our data collection create scalable analytical approaches and deep dive the Seller experience to create rigorous quantitative insights that senior leaders use to set strategy.

Key job responsibilities
Key Job Responsibilities
- Apply psychometric and survey methodology techniques (e.g. IRT factor analysis scale development single-item indicators) to measure seller experience constructs with scientific rigor
- Design and implement frameworks that link seller attitudinal data to behavioral outcomes and identify high-impact opportunity areas
- Design and execute statistical analyses including regression modeling significance testing and driver analysis to identify what matters most to sellers
- Apply observational causal evaluation methods to estimate the effects of policy changes product launches and platform interventions on seller experience
- Design build and maintain analytical pipelines that transform raw survey data into production-ready metrics reports and dashboards
- Design and build systems to analyze open-ended survey responses using text classification thematic coding and natural language processing techniques
- Design and monitor processes improve survey response rates sampling methodology and data quality
- Productionalize research code: take analyses from prototype to automated reproducible pipelines that run reliably in production environments
- Communicate findings clearly to technical and non-technical audiences through written reports data visualizations and presentations
- Collaborate and influence with cross-functional partners to translate business questions into well-defined research problems and scientific metrics
- Document research methods assumptions and limitations transparently to ensure reproducibility

A day in the life
Your day typically starts with the data. You might spend the morning reviewing satisfaction trends investigating a shift in a key metric and pulling together an analysis that explains whats driving it. Youll regularly meet with external teams to help them understand how a proposed product will affect seller sentiment and what the data says they should prioritize. Youll also spend time in R or Python building training or testing models to improve how we measure and act on sentiment data.

About the team
Our team owns the research and measurement infrastructure that tracks satisfaction across all 2.1 million selling partners on Amazon spanning Seller Central Next Gen Selling and Mobile. We sit at the intersection of data and strategy partnering with teams across product design and engineering to advocate for seller experience improvements. This is a high-visibility team where the work is consequential the stakeholders are senior and the problems are genuinely hard.

- PhD or Masters degree and 5 years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Experience programming prototyping and scripting with Oracle SQL Hive Pig SAS R Weka or Python
- Knowledge of R MATLAB Python or similar scripting language
- Experience with lab-based user testing remote testing iterative prototype testing survey design and usage of multiple methods within a study
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience in solving complex business challenges by delivering accurate and timely financial models analysis and recommendations that have a proven impact on business (e.g. financial savings operational improvements or customer benefits) or experience working with Excel and large-scale data mining and reporting tools such as Python SQL or Tableau
- Experience with survey research methodology and psychometric measurement (e.g. item response theory factor analysis scale construction reliability analysis) as well as single-item indicators

- Experience with agile development
- Experience in causal modeling like graphical models causal Bayesian network potential outcomes A/B testing experiments quasi-experiments and data science workflows
- Experience with any programming language such as Python Java C
- Knowledge of machine learning processing: computer vision NLU NLP or operations research
- Experience with AWS services including S3 Redshift EMR and RDS
- Experience with various types of research methodologies is key including quant qual 1P & 3P data trend analysis & forecasting etc.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 136000.00 - 184000.00 USD annually