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

You will build and lead the economics research agenda for measurement experimentation and value attribution for Amazons 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 and 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 and 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 teams 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 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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 250000.00 - 338200.00 USD annually