Data Scientist II: Long-Term Forecasting & Product Impact

Amazon Science; Sunnyvale (CA); On-site; USD 157,000 - 213,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science in Sunnyvale, CA invites a Data Scientist II to build econometric and machine learning models predicting long-term demand for Amazon Devices. You will quantify willingness to pay for features, assess product incrementality, and shape roadmap decisions with actionable insights.

You will collaborate across product, engineering, and business teams, delivering clear storytelling and robust analyses in a fast-paced environment that values scientific rigor and practical impact.

Qualifications

• 3+ years of data querying languages and scripting experience.
• Experience with machine learning techniques and statistical modeling.
• Bachelor's degree in a related field.

Responsibilities

• Build and validate econometric and machine learning models for long-term demand forecasts.
• Assess incrementality of new products and willingness-to-pay for features.
• Collaborate with product managers, engineers, and stakeholders to scope projects and define metrics.
• Present findings with clear narratives, visuals, and documentation.
• Mentor junior data scientists through code reviews and knowledge sharing.

Skills

SQL

Python

R

SAS

Matlab

Machine learning

Education

Bachelor's degree

Tools

SAS

Matlab

Job description

Amazon Science in Sunnyvale, CA invites a Data Scientist II to build econometric and machine learning models predicting long-term demand for Amazon Devices. You will quantify willingness to pay for features, assess product incrementality, and shape roadmap decisions with actionable insights.

You will collaborate across product, engineering, and business teams, delivering clear storytelling and robust analyses in a fast-paced environment that values scientific rigor and practical impact.