Senior Data Scientist, Customer Insights and Market Trends

Amazon Inc.; Arlington (VA); Hybrid; USD 159,000 - 215,000; Full time

Job summary

Amazon is seeking a Senior Data Scientist for the CXBT BEAM team to design, implement, and scale metrics that measure competitiveness across segments and time. You will define what to measure, build robust models, and defend methodologies to senior stakeholders.

You will translate business questions into actionable metrics, productionize analyses, and deliver monthly reports to CXBT and business leaders, while mentoring teammates and ensuring rigorous modeling practices.

Qualifications

• Master's degree or PhD with 6+ years in data science
• Experience applying statistical modeling and ML methods to business problems
• Proficiency with SQL and Python or R for large datasets
• Demonstrated experience defining metrics and KPIs from scratch
• Experience communicating analytical and modeling results to senior audiences

Responsibilities

• Define BEAM competitiveness metrics and their definitions
• Build and validate forecasting, causal inference, segmentation models
• Integrate third-party and internal data into reproducible pipelines
• Translate business questions into the right metric and model
• Productionize models and automate recurring analyses
• Produce monthly reports and deep-dive narratives for leadership
• Uphold analytical rigor through reviews and guardrails
• Mentor other scientists and raise modeling standards

Skills

Statistical modeling & ML for business

Metrics communication

SQL & Python/R

Education

Master's/PhD in quantitative field

Tools

SQL

Python

R

Job description

Senior Data Scientist, Customer Experience and Business Trends

Job ID: 10536465 | Amazon.com Services LLC

Amazon's Customer Experience and Business Trends (CXBT) organization is hiring a Senior Data Scientist for its Benchmarking, Economics, Analytics and Measurement (BEAM) team. BEAM's mission is to improve customer experience across every Amazon business by turning fragmented internal and external data into decision-grade intelligence for senior leaders.

This role anchors our Topline View of Retail initiative: an always-on competitive intelligence capability that fuses third-party transaction panels with Amazon's internal signals to answer how Amazon is winning or losing share of wallet, across segments, categories, and time. You will not just analyze metrics — you will decide which metrics should exist, then build the statistical and machine learning models that generate, forecast, and explain them. Given a new business question and a pile of raw panel and internal data, you are the person who defines what "competitiveness" means, translates it into a defensible, reproducible metric and model, and defends the methodology to skeptical senior stakeholders.

We are looking for someone with exceptional business judgment and metric intuition, paired with deep hands-on modeling skills: a strong point of view on what to measure, and the technical ability to build the models that measure it at scale. You should be equally comfortable pressure-testing a model's assumptions and explaining its "so what" to a VP in two sentences.

Key job responsibilities
- Own the definition, methodology, and evolution of BEAM's competitiveness metrics (e.g., share-of-wallet, segment-level penetration, price/selection/fulfillment competitiveness), including the trade-offs behind each definition.
- Design, build, and validate statistical and machine learning models — forecasting, causal inference, segmentation, and anomaly detection — that power those metrics and surface competitive shifts.
- Pull together disparate third-party transaction-panel data and internal Amazon signals into coherent, reproducible modeling pipelines that leadership can trust for recurring reporting.
- Translate ambiguous business questions ("are we losing ground in grocery?") into the right metric, the right model, the right cut of data, and a clear, defensible answer.
- Productionize models and analyses so they run reliably as recurring mechanisms, partnering with data engineers to scale and automate.
- Produce monthly flash reports and deep-dive narratives that turn models and metrics into decisions for CXBT and business-line leadership.
- Set the standard for analytical and modeling rigor on the team — methodology reviews, documentation, and guardrails against misleading cuts.
- Mentor and technically uplift other scientists and BIEs on the team — reviewing modeling approaches and raising the bar on rigor (e.g., partnering with our Data Scientist on the MatchIQ model to strengthen methodology and validation).

About the team
CXBT is a group of diverse functions dedicated to understanding, improving, and influencing customer experience globally, across all of Amazon. We are builders who develop products, services, and data-driven approaches that shape offerings for nearly every Amazon business and customer type — consumers, developers, sellers, brands, employees, investors, streamers, and gamers. We work backwards from customer needs, combine technical and non-technical methods, and track industry and business trends. Our roles span Product Managers, Data Scientists, Economists, Business Intelligence Engineers, Data Engine, Applied Scentist, and Product Manager.

Basic Qualifications

- Master's degree or above in a quantitative field, or PhD and 6+ years of data scientist experience
- Experience applying statistical modeling and machine learning methods (e.g., regression, forecasting/time series, classification, clustering, causal inference) to business problems.
- Proficiency with data scripting and modeling languages (SQL and Python or R) and building analyses on large, messy datasets.
- Demonstrated experience defining metrics and KPIs from scratch and connecting them to business decisions.
- Experience communicating analytical and modeling results to senior, non-technical business audiences in writing.

Preferred Qualifications

- Familiarity with experimentation/A-B testing and with modern ML tooling and cloud data environments (e.g., AWS, Spark).
- Experience mentoring scientists/analysts and providing technical leadership on modeling and metric-design decisions.
- Strong background in retail, e-commerce, or CPG competitive and market-share analytics (share-of-wallet, category penetration, price/selection benchmarking).

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.

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 .

Preferred Qualifications

- Familiarity with experimentation/A-B testing and with modern ML tooling and cloud data environments (e.g., AWS, Spark).
- Experience mentoring scientists/analysts and providing technical leadership on modeling and metric-design decisions.
- Strong background in retail, e-commerce, or CPG competitive and market-share analytics (share-of-wallet, category penetration, price/selection benchmarking).

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.

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, VA, Arlington - 159,200.00 - 215,300.00 USD annually
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.