Director, Data Science, Amazon Customer Service Network Solutions

We are seeking a seasoned executive leader to join our Network Solutions team within Amazon Customer Service, as Director, Data Science. In this role you will build and lead a data, analytics, and measurement Basic qualifications: - MS in a STEM field – industrial engineering, operations research, statistics, computer science, economics, or a related technical field - Track record of leading the design and delivery of scientific or analytical frameworks that have influenced organizational decision-making at scale - Demonstrated experience building and leading multi-disciplinary data organizations – including data engineering, business intelligence, and analytics functions – ideally from 0-to-1 - Experience serving as a strategic partner to senior business leaders and cross-functional peers, translating data and science capabilities into business impact Preferred: - PhD in a STEM field – industrial engineering, operations research, statistics, computer science, economics, or a related technical field - 15+ years of relevant experience after PhD spanning data science, measurement science, analytics, or operations research - Cross-disciplinary background spanning two or more of: measurement science, causal inference, industrial engineering, behavioral economics, human factors, operations research, or business intelligence - Experience building data and insights organizations within customer service, customer support, or operations domains at global scale - Familiarity with causal inference methods, utility function design, or value measurement frameworks applied to service operations or network optimization - Experience as a primary liaison between a domain-specific data organization and centralized data, science, or analytics functions – consolidating demand, aligning roadmaps, and building durable partnerships - Background in usability research, associate experience design, or behavioral science – bringing human-centered methods into operational decision-making - Experience building and governing analytics and reporting infrastructure, including ownership through transitions in centralized data services - Demonstrated ability to lead without authority across organizational boundaries, bridging science, product, engineering, and operations teams 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, WA, Seattle - 250,000.00 - 338,200.00 USD annually