Device Economics Data Scientist II: Forecasting & Strategy

Amazon Inc.; Seattle (WA); Hybrid; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Benefits overview

Job summary

Amazon.com Services LLC in Seattle, WA is seeking a Data Scientist II to join the Device Economics team. You will focus on forecasting, economic modeling, and business strategy for Amazon Devices, including Echo devices, collaborating with product and marketing managers to drive portfolio insights.

Responsibilities include developing pre-launch and annualized forecasts, modeling substitution patterns, and building models to inform demand planning and strategic decisions.

Qualifications

• 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.

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 analytical frameworks to address key economic issues in device forecasting.

Education

Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field

Tools

AWS technologies

Job description

Amazon.com Services LLC in Seattle, WA is seeking a Data Scientist II to join the Device Economics team. You will focus on forecasting, economic modeling, and business strategy for Amazon Devices, including Echo devices, collaborating with product and marketing managers to drive portfolio insights.

Responsibilities include developing pre-launch and annualized forecasts, modeling substitution patterns, and building models to inform demand planning and strategic decisions.