Data Scientist II, Device Economics

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 portfolio evolution and business strategy

2. Support DSO leadership in quarterly business reviews and strategic planning

A day in the life

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.

About the team

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