Senior Economist

Finance, Banking & Legal · Banking & Investments · Financial Analysis

In short

Amazon Payments seeks a Senior Economist to own the incrementality science behind its Economic Profit framework across 9 emerging markets. You will design and defend econometric methodologies to measure value creation from payment products and promotions, influencing S-Team level planning and investment decisions.

Responsibilities

Own end-to-end design of incrementality computation logic for APPs, promotions, weblabs, and behavior-change programs.
Evolve the Day-0 incrementality methodology to capture value within the current transaction.
Design econometric approaches for challenging use cases like weblabs with instrument dynamics and investment-phase to payoff-phase programs.
Develop and validate proxy logic for segment-wise EP cuts.
Lead formal methodology defense with the CBA V-Team, ensuring rigorous scientific justification.
Align with DEX and Stores Finance on cost-to-serve incrementality metrics.
Navigate surrogate onboarding challenges and build defensibility against internal scientific scrutiny.
Partner with the EP Data Scientist to build a holistic case for payment HVA incrementality.
Translate econometric findings into business narratives for leadership reviews.
Adapt and calibrate EP methodology for Brazil, Mexico, MENA, and APAC markets.

Requirements

Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
Experience in A/B testing.
Experience using data and metrics to influence senior leadership and drive organizational change.
PhD or Master's degree in Economics, Econometrics, Statistics, or a quantitative field, with 5+ years of industry experience in applied economics or causal inference.
Deep expertise in causal inference methodologies — difference-in-differences, instrumental variables, regression discontinuity, synthetic control, treatment effect estimation.
Demonstrated experience designing and defending incrementality or attribution measurement frameworks.
Ability to communicate complex econometric concepts to non-technical business and finance leaders.
Comfort with ambiguity and designing methodology for problems without a clear playbook.

Desired Qualifications

Experience in analytics and applied economics.
Experience in developing and executing an analytic vision to solve business-relevant problems.
Experience in building statistical models using R, Python, STATA, or a related software.
Experience in industry, consulting, government or academic research.
PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field.
Experience with customer lifetime value (CLV) or downstream value modeling.
Familiarity with Amazon's CBA ecosystem (Dr. Watson, DSI/DSE, GCCP, HVA frameworks) or equivalent internal measurement platforms.
Experience navigating cannibalization and attribution disputes across organizational boundaries.
Prior work on payment instrument economics, affordability products, or fintech ROI measurement.
Experience with large-scale causal inference on transactional data (100M+ transactions/month).
Publications or internal whitepapers on applied econometric methodology.

Benefits

Inclusive culture empowering Amazonians to deliver the best results for customers.
Opportunity to work alongside thoughtful, curious colleagues.
See your work shape how Amazon operates.

Skills

RPythonEconometricsCausal InferenceA/B testingRegression DiscontinuityInstrumental VariablesSynthetic ControlDifference-in-DifferencesSTATA

#Economics#Economist#Incrementality#Economic Profit#Causal Inference#Econometrics#Measurement Frameworks#Payment Products#Emerging Markets#Statistical Analytics#A/B Testing#Regression Discontinuity#Instrumental Variables#Synthetic Control#Difference-in-Differences#Python#R#STATA

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