Senior Economist

Amazon is hiring a Senior Economist in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include econometrics, incrementality science and economic profit framework.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Design and evolve econometric methodologies and incrementality science to measure payment product economic value.

econometricsincrementality-scienceeconomic-profit-frameworkdata-analysis

IES Payments is building a first-of-its-kind Economic Profit (EP) framework to measure the
full economic value of Amazon Payment Products (APPs) and payment-led promotional
levers across 9 emerging markets. Today, program leaders cannot credibly quantify the total value their products create beyond direct revenue contribution — EP changes that.

We are looking for an Economist who will own the incrementality science that underpins
this framework. You will design, evolve, and defend the econometric methodologies that
measure how payment instruments create value — within the transaction (Day-0) and over
the 365-day customer lifetime (DSI). You will be the single-threaded science owner for how
we compute and justify incrementality across always-on instruments, promotional constructs, weblabs, and behavior-change programs.

This is not a support role. You will directly shape how Amazon measures the ROI of its
payment investments across IES — and your work will feed into S-Team level planning and
investment decisions.

Key job responsibilities
What You'll Do
Incrementality Methodology — Design & Evolve
● Own end-to-end design of incrementality computation logic across EP use cases: always-on APPs, one-time promotions, weblab measurement, and ongoing behavior-change programs (e.g., UPI adoption rewards)
● Evolve the Day-0 incrementality methodology — the novel component that captures value created within the current transaction itself, where standard DSI excludes the event day
● Design econometric approaches for use cases where GCCP fails (weblabs with instrument dynamics) and where traditional promo measurement breaks down (investment-phase → payoff-phase programs)
● Develop and validate proxy logic for segment-wise EP cuts in the absence of dedicated compute infrastructure

CBA & Cross-Functional Alignment
● Lead the formal methodology defense with CBA V-Team — every surrogate, every computation, every modification to Watson's default workflow requires rigorous scientific justification and CBA sign-off
● Align with DEX and Stores Finance on the science behind cost-to-serve incrementality metrics (CoP avoidance, UPB savings, CoBW reduction)
● Navigate the surrogate onboarding challenge: new payment surrogates can cannibalize value currently attributed to existing Marketplace HVAs — you will need data-backed arguments to bring Stores leadership on board, not just science correctness
● Build and maintain the defensibility of EP methodology against internal scientific scrutiny

Partnership with Data Science
● Work hand-in-hand with the EP Data Scientist to build a holistic case for payment HVA incrementality — you bring the econometric logic, they bring the predictive model justification; both must align for CBA acceptance
● Jointly defend surrogate onboarding proposals where the economist provides the causal framework and the data scientist provides the feature-level model evidence
● Translate econometric findings into business narratives for VP+ leadership reviews

Geographic Expansion
● Adapt and calibrate EP methodology for Brazil, Mexico, MENA, and APAC markets — each with distinct instrument mixes, data maturity levels, and marketplace economics
● Determine where the India-built methodology transfers cleanly and where market-specific econometric adaptations are needed

About the team
Our team is dedicated to applying economic thinking to some of Amazon's most impactful business questions. We bring together economists with expertise spanning causal inference, structural modeling, and applied microeconomics to deliver insights that guide long-term strategy. We value intellectual rigor, open debate, and a collaborative spirit that makes everyone stronger.

We are building toward a future where economic analysis is deeply embedded in decision-making at every level. If you want to work alongside thoughtful, curious colleagues and see your work shape how Amazon operates, this is the team for you.

Basic qualifications

- 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 — either in tech, financial services, or marketplace settings.
- Ability to communicate complex econometric concepts to non-technical business and finance leaders
- Comfort with ambiguity — this role requires designing methodology for problems where no clean playbook exists

Preferred 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 — predicting long-horizon behavioral effects of interventions
- Familiarity with Amazon's CBA ecosystem (Dr. Watson, DSI/DSE, GCCP, HVA frameworks) or equivalent internal measurement platforms at other tech companies
- Experience navigating cannibalization and attribution disputes across organizational boundaries — situations where your measurement shifts value between teams
- 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

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.

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How we rate this

Senior Economist at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Economist is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in IN, KA, Bengaluru.
The job was posted on October 1, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

EconometricsIncrementality ScienceEconomic Profit FrameworkData Analysis

Questions you could be asked

Tell me about a project where econometrics was part of your work. What did you do?
Tell me about a project where incrementality science was part of your work. What did you do?
Tell me about a project where economic profit framework was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?

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List these exact terms on your resume: Econometrics, Incrementality Science, Economic Profit Framework, and Data Analysis. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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