Amazon.com

Data Scientist II, Device Economics

Amazon.com
US Seattle, WA, US
Onsite 2026-06-30
Announced salary
$136,000 - $212,800
Low
$101K
Median
$133K
High
$176K
Market in Seattle · BLS OEWS 2025
Estimated net pay
$8,685 - $13,196
/month · 23% withheld
after tax & contributions · Single, no dependents

Job description

**DESCRIPTION** --------------- We are seeking Data Scientist II with strong science application skills to join our Device Economics team. This role will focus primarily on Amazon's innovative devices and services (e.g. Echo Family of Devices), working at the intersection of economic modeling, forecasting science, and business strategy. The ideal candidate will be responsible for pre\-launch forecasts, annualized overall forecasts, identifying substitution patterns, and partnering closely with product managers and marketing managers to understand the evolution of the Devices portfolio. Key job responsibilities Forecasting \& Modeling 1\. Develop and maintain pre\-launch forecasts and annualized overall forecasts for Amazon Devices 2\. Identify and model substitution patterns across the device portfolio 3\. Build economic and financial models to support demand planning and business decisions 4\. Formulate relevant analytical frameworks to address key economic issues in device forecasting Science Communication \& Collaboration 1\. Explain complex science models and methodologies to non\-technical stakeholders including product managers and marketing managers 2\. Collaborate with economists, data scientists, and applied scientists across Decision Science 3\. Present results of analyses to cross\-functional teams and leadership 4\. Build trust in science models and forecast outputs with product teams Innovation \& Strategic Thinking 1\. Think creatively about ways that leading\-edge analytics and emerging data sources can address Devices' most pressing business challenges 2\. Help internal teams leverage analytic tools to better manage innovation 3\. Conduct empirical studies and perform quantitative and qualitative research 4\. Identify opportunities to improve forecasting accuracy and business impact Cross\-Functional Partnership 1\. Work closely with product managers and marketing managers to understand

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