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About the Role
This role focuses on Amazon's innovative devices and services, working at the intersection of economic modeling, forecasting science, and business strategy. You will be responsible for pre-launch forecasts, annualized overall forecasts, identifying substitution patterns, and partnering closely with product and marketing managers.
Responsibilities
- Develop and maintain pre-launch forecasts and annualized overall forecasts for Amazon Devices.
- Identify and model substitution patterns across the device portfolio.
- Build economic and financial models to support demand planning and business decisions.
- Formulate relevant analytical frameworks to address key economic issues in device forecasting.
- Explain complex science models and methodologies to non-technical stakeholders.
- Collaborate with economists, data scientists, and applied scientists across Decision Science.
- Present results of analyses to cross-functional teams and leadership.
- Build trust in science models and forecast outputs with product teams.
- Think creatively about ways that leading-edge analytics and emerging data sources can address Devices' most pressing business challenges.
- Help internal teams leverage analytic tools to better manage innovation.
- Conduct empirical studies and perform quantitative and qualitative research.
- Identify opportunities to improve forecasting accuracy and business impact.
- Work closely with product managers and marketing managers to understand portfolio evolution and business strategy.
- Support DSO leadership in quarterly business reviews and strategic planning.
- Perform model refreshes or updates to analyses as needed.
- Develop new techniques to process large data sets, address quantitative problems, and contribute to the design of automated systems.
Requirements
- Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field.
- 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
- Experience using data and metrics to drive actionable insights at scale.
Skills
- Statistical inference (e.g. regression, experimental design, significance testing)
- AWS technologies
- Demand forecasting in retail, e-commerce, or consumer electronics
- Portfolio optimization or product mix analysis
- Substitution modeling and cannibalization analysis
Location
- USA, CA, Sunnyvale
- USA, WA, Seattle
Work Type
- Full-time
Experience Level
- 3+ years
Education Level
- Master's degree
Salary/Compensations
- 157,300.00 - 212,800.00 USD annually
- 136,000.00 - 184,000.00 USD annually
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
About the Company
- The Decision Science team within DSO (Device Supply Organization) is responsible for forecasting and demand planning initiatives across Amazon Devices.
- The DSO team of 300+ engineers, scientists, and PMs applies quantitative methods and data-driven approaches to replace judgment-based decisions with science-driven forecasts.
- Decision Science focuses on lifetime demand forecasting using econometric and machine learning models for rapid reforecasting, mix adjustments, and portfolio management for new product launches.
- We also inform to go/no-go investment decision for new product initiatives.
- Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
- 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.