Data Scientist II, Device Economics
Listed on 2026-10-15
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IT/Tech
Data Scientist, Data Analyst, Data Science Manager
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 including product managers and marketing managers
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
Your days will be split between refining and building models and working with business leaders to interpret them. You own science-based forecasts that can directly impact Amazon's bottom line on the order of multi-million dollar decisions.
You will perform model refreshes or updates to analyses as needed; and,
You will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems.
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
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
Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing)
Experience with AWS technologies
Experience with demand forecasting in retail, e-commerce, or consumer electronics
Background in portfolio optimization or product mix analysis
Familiarity with substitution modeling and cannibalization analysis
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company…
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