Data Scientist II, Data Scientist, Decision Science

About This Role

This Data Scientist II role on the Devices forecasting team involves building econometric and machine learning models to project long-term demand, assess new product incrementality, and quantify willingness to pay for features. Your analysis will directly influence portfolio decisions, guiding product managers on future builds. The team is actively investing in AI to enhance how science informs business strategy, making this an exciting time to join.

Responsibilities

• Build and validate econometric and machine learning models to generate long-term demand forecasts for Amazon Devices, selecting methodologies based on data characteristics and business context
• Assess the incrementality of new products and quantify willingness to pay for product features, translating model outputs into clear narratives for product managers to adjust portfolio strategy
• Collaborate with product managers, engineers, and business stakeholders to scope analytical projects, define metrics, and identify data requirements for ambiguous forecasting questions
• Communicate findings to technical and non-technical audiences through clear documentation, effective visualizations, and well-structured presentations to drive informed decisions
• Mentor less experienced data scientists through code reviews, knowledge sharing, and active participation in scientific discussions and team planning

Requirements

• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.)
• 2+ years of data scientist experience
• 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
• Bachelor's degree
• Experience applying theoretical models in an applied environment

Nice to have:

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave

Important Details

• Locations: Sunnyvale, CA; Seattle, WA

About the Company

Amazon.com Services LLC is an equal opportunity employer.