Director, Economist - Head of Experimentation & Value, Devices Science Optimization (DSO)

Amazon.com Services LLC•2h ago

United StatesOnsite$250K–$338.2KFull-timeDirector Level12+ yrs exp

H-1B verified · 2310 LCAs

You will build and lead the economics research agenda for measurement, experimentation
value attribution for Amazon's Devices & Services organization. Your team is the "truth layer" of the Intelligence Core — the shared economics and causal inference capability that serves all Devices product lines, marketing pods
Finance leadership with causal evidence of what Devices are worth and whether our investments are working. This is not a traditional analytics or measurement role. You will own an active research program in experimentation design — identifying and executing the causal studies that produce the causal inputs for pricing decisions, marketing optimization
portfolio strategy. Your outputs provide the causal evidence base that L8 peers and senior leadership consume to make billions of dollars in investment decisions across the D&S portfolio. You will also own the economic models that validate and drive execution across the full surface area of marketing spend for devices and services. Key job responsibilities Economic Value:
Downstream value attribution for all Devices product lines — Impact on Prime, subscription lift, consumer spending, advertising value
Alexa+ value isolation and cross-PL attribution
Causal frameworks connecting device sales to Prime acquisition, subscription retention, and ecosystem engagement Marketing Science & Measurement:
Build the marketing science function from scratch
Incrementality measurement for marketing spend across all channels
Attribution methodology, measurement standards, and cross-pod governance
Marketing ROI frameworks for use by category marketers
CCM certification methodology and scenario planning models for optimal investment allocation Experimentation:
Owning the estimation methodology, identification strategies, data inputs/outputs, and refresh cadence
You will build this team's analytics function with AI at its core from day one
Experimentation governance — managing interference across teams, setting standards for causal validity
Evaluation framework for AI agents and autonomous optimization systems
12+ years in economics, econometrics, or causal inference research with increasing leadership scope
Track record designing and executing causal research programs — including randomized experiments, quasi-experimental methods, and structural estimation
Deep expertise in applied microeconomics, causal inference, incrementality estimation, or structural econometrics
Experience managing teams of 30+ across economics, applied science, and quantitative research disciplines
PhD in Economics, Statistics, Computer Science, or related quantitative field
Experience in consumer electronics, devices, or subscription businesses with complex downstream value chains
Familiarity with Pro Forma P&L construction and Finance partnership at VP+ level
Background in both structural long-run economic modeling AND reduced-form in-period estimation
Experience designing experimentation governance for multi-team organizations
Comfort operating at the intersection of economic theory, empirical research, and business strategy
Track record of influencing senior leadership (VP/SVP) with data-driven narratives
Published research or recognized expertise in applied microeconomics, industrial organization, or platform economics
Demonstrated ability to translate complex econometric findings into clear executive narratives that drive investment decisions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
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
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
parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 250,000.00 - 338,200.00 USD annually

Required skills

economicscausal inferenceexperiment designincrementality measurementmarketing sciencedata analysisAIapplied microeconomicsquantitative researchstructural econometrics