Statistical programmer h1.location_city

We are seeking a skilled and motivated Quantitative Researcher to join our team. The ideal candidate is customer-obsessed, detail-oriented, and passionate about translating complex data into clear, actionable insights. You are comfortable operating with some ambiguity, can deliver independently on well-scoped research programs, and can shape how research is done, not just execute it.

If you've ever wondered how Amazon knows what sellers need before they ask, that's the work our team does. We're looking for a Quantitative Researcher who turns seller behavior data into product decisions that shape the experience for millions of businesses selling on Amazon.

You'll own research end-to-end: designing surveys, running statistical analyses, and translating findings into clear recommendations that product and design teams actually act on. You'll work independently on well-scoped projects while starting to shape how the team approaches quantitative research — improving methods, not just executing them.

Key job responsibilities
- Independently lead quantitative UX research projects end-to-end, including survey design, sampling strategy, statistical analysis, and reporting
- Synthesize survey findings with engagement metrics and behavioral data into compelling narratives and actionable recommendations that drive product improvements
- Improve research patterns, standards, and methods, contributing to how the team approaches quantitative work, not just executing against existing frameworks
- Build scalable mechanisms for communicating insights to stakeholders, leveraging strong writing and data visualization skills
- Influence decision-makers across teams by presenting research findings clearly and persuasively
- Manage complex stakeholder relationships across multiple product and design teams, building alignment when faced with competing priorities
- Own the full study lifecycle: recruiting, instrument design, moderation, analysis, and reporting
- Contribute to the UX research roadmap and help evolve research practices to meet changing business and seller needs

As a successful Quantitative Researcher, you:
- Are driven to understand human behavior, motivations, and attitudes at scale
- Are motivated by seeing your insights directly improve seller and customer experiences
- Enjoy building strong cross-functional relationships and see different perspectives as opportunities for better solutions
- Excel at transforming complex data into compelling stories that drive product decisions
- Think strategically to connect individual research projects to broader product and business goals

A day in the life
Your day typically starts with the data. You might spend the morning reviewing satisfaction data, pulling feedback and insights from a recent study, and drafting a narrative that connects the two. You'll collaborate closely with product managers, designers, and other researchers to make sure research is connected to real decisions. Some days you're deep in statistical modeling; others you're presenting to a senior leader or driving product decisions that improve Seller satisfaction.

The problems you'll work on are real and consequential: what's driving satisfaction and what does the data say we should do about it. You'll have the autonomy to shape how those questions get answered.

About the team
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online by giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Within Amazon, the Selling Partner Services (SPS) goal is to enable third-party Sellers of any size by helping them build the business they want. We are the Core Selling Partner Experience (CSPE) team which defines, implements, and enforces quality standards for all Amazon-built experiences for SPs worldwide.

BASIC QUALIFICATIONS

- PhD, or a Master's degree and experience in designing experiments and statistical analysis of results
- 3+ years of quantitative field research experience
- Experience with the full range of research methods: qualitative and quantitative, attitudinal and behavioral, with deep expertise in one or more areas
- Experience statistical modeling, or related analytic techniques
- Experience with SQL and data visualization tools such as Tableau
- Experience leading studies across various methodologies: online quant surveys, focus groups, 1:1, ethnos, online qual, mobile
- Experience with lab-based user testing, remote testing, iterative prototype testing, survey design, and usage of multiple methods within a study
- Experience effectively communicating complex concepts through written and verbal communication
- Knowledge of Python or R or other scripting language
- Experience in survey design and datasets

PREFERRED QUALIFICATIONS

- Experience collaborating with UX, product, and non-technical partners
- Experience in supporting quantitative and qualitative consumer research
- Experience researching about machine learning, deep learning, NLP, computer vision, data science
- Experience with developing machine learning and natural language processing products
- Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience
- Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing)

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.