Data Scientist, Personalization & Discovery

Amazon Science; Seattle (WA); On-site; USD 136,000 - 184,000; Full time

Job summary

Amazon Science in Seattle, WA, is seeking a Data Scientist for Prime Video to help shape the future of entertainment through data-driven personalization and discovery. You will join an embedded science team on fast-paced projects that influence what millions see when they log in.

The role requires strong problem-solving and communication skills, balance between rigorous analysis and delivery speed, and the ability to define metrics, build scalable workflows, and partner with product stakeholders.

Qualifications

• Master's degree in a quantitative field.
• 3+ years of SQL, Python or R/SAS/Matlab experience.
• 2+ years of data scientist experience.
• 3+ years of ML/statistical modeling experience.
• Bachelor's degree.
• Experience applying theoretical models in an applied environment.

Responsibilities

• Use advanced statistical and machine learning techniques to extract insights from large-scale data sets.
• Design and implement end-to-end data science workflows, from data acquisition and cleaning to model development, testing, and deployment.
• Support scalable, self-service data analyses by building datasets for analytics, reporting and ML use cases.
• Partner with product stakeholders and senior science peers to identify strategic data-driven opportunities to improve the customer experience.
• Communicate findings, conclusions, and recommendations to technical and non-technical stakeholders.
• Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organization.

Skills

Python

SQL

R

Matlab

SAS

Education

Master's degree

Bachelor's degree

Job description

Amazon Science in Seattle, WA, is seeking a Data Scientist for Prime Video to help shape the future of entertainment through data-driven personalization and discovery. You will join an embedded science team on fast-paced projects that influence what millions see when they log in.

The role requires strong problem-solving and communication skills, balance between rigorous analysis and delivery speed, and the ability to define metrics, build scalable workflows, and partner with product stakeholders.