Quantitative Researcher, Selling Partner Experience
Amazon · Seattle, WA
- On site
- Full-time
- $176,000 / year
- Seattle, WA
Job highlights
- Lead end-to-end quantitative research projects.
- Translate data into actionable product recommendations.
- Improve research methods and standards.
- Build stakeholder relationships and influence decisions.
- Shape seller experience for millions of businesses.
About the role
About the Role
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)
Equal Opportunity Employer Statement
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Compensation and Benefits
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 https://amazon.jobs/en/benefits.
USA, WA, Seattle - 130,100.00 - 176,000.00 USD annually
Company
Amazon.com Services LLC
Job ID: A10371264
Key skills/competency
- Quantitative Research
- Statistical Analysis
- Survey Design
- Data Visualization
- SQL
- Python
- R
- UX Research
- Stakeholder Management
- Machine Learning
Skills & topics
- Quantitative Researcher
- UX Research
- Statistical Analysis
- Survey Design
- Data Analysis
- SQL
- Python
- R
- Machine Learning
- Data Visualization
- Seattle
- Amazon
How to get hired
- Customize your resume: Highlight your quantitative research, statistical analysis, SQL, Python/R, and data visualization skills. Tailor your experience to Amazon's customer-obsessed culture and focus on seller experience.
- Showcase impact: Quantify your achievements in previous roles, demonstrating how your insights led to measurable product improvements or business outcomes.
- Prepare for behavioral questions: Be ready to discuss how you've handled ambiguity, managed stakeholders with competing priorities, and influenced decision-makers. Use the STAR method to structure your answers.
- Demonstrate technical proficiency: Be prepared to discuss your experience with statistical modeling, experimental design, survey design, and data visualization tools like Tableau.
- Understand Amazon's principles: Familiarize yourself with Amazon's Leadership Principles and how they apply to this role, particularly customer obsession and diving deep.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the Quantitative Researcher role at Amazon?
- For the Quantitative Researcher position at Amazon, key technical skills include expertise in designing experiments, statistical analysis, statistical modeling, SQL, and data visualization tools like Tableau. Proficiency in Python or R for scripting and data analysis is also essential. Experience with survey design and various research methodologies is critical.
- How important is experience with machine learning for this Quantitative Researcher role at Amazon?
- While not a basic qualification, experience researching machine learning, deep learning, NLP, computer vision, or data science is a preferred qualification. If you have experience developing ML/NLP products, it would be highly beneficial for this Quantitative Researcher role at Amazon.
- What kind of impact can a Quantitative Researcher have at Amazon in the Selling Partner Experience team?
- As a Quantitative Researcher on the Selling Partner Experience team, you will turn seller behavior data into product decisions that shape the experience for millions of businesses selling on Amazon. You'll lead research end-to-end, influencing product improvements and driving decisions that enhance seller satisfaction.
- How does Amazon approach diversity and inclusion for Quantitative Researcher roles?
- Amazon is an equal opportunity employer committed to an inclusive culture. They provide resources for workplace accommodations and support during the application and hiring process for individuals with disabilities. You can find more information on their hiring accommodations page.
- What is the expected educational background for a Quantitative Researcher at Amazon?
- Amazon requires a PhD or a Master's degree along with relevant experience in designing experiments and statistical analysis of results for this Quantitative Researcher role. A strong academic background in a quantitative field is a prerequisite.
- How should I highlight my experience in survey design for the Amazon Quantitative Researcher application?
- When highlighting your survey design experience, focus on your ability to create effective survey instruments, develop sampling strategies, and analyze the resulting datasets. Mention specific examples of how your survey designs led to actionable insights and product improvements for sellers.
- What does 'operating with some ambiguity' mean for a Quantitative Researcher at Amazon?
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