Data Scientist, Personalization & Discovery

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

Benefits offered by this job

Sign-on payments

Restricted stock units (RSUs)

Health insurance

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC in Seattle is seeking a data scientist to shape the future of Prime Video personalization and discovery. You will work on data-driven frameworks to understand what drives viewer engagement and business impact, embedded within a fast-paced, cross-functional team.

Responsibilities include building end-to-end data science workflows, collaborating with product stakeholders, and communicating findings to both technical and non-technical audiences, while staying current with

Qualifications

• 3+ years of SQL or Python, or similar data querying/scripting 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 on large-scale data to extract insights.
• Design end-to-end data science workflows from data to deployment.
• Support scalable self-service data analyses by building datasets for analytics and ML use cases.
• Partner with product stakeholders to identify data-driven opportunities to improve customer experience.
• Communicate findings and recommendations to technical and non-technical stakeholders.
• Stay up-to-date on data science tools and best practices.

Skills

SQL

Python

R/Matlab/SAS

ML/Stat Modeling

Data analysis

Education

Bachelor's degree

Job description

Amazon.com Services LLC in Seattle is seeking a data scientist to shape the future of Prime Video personalization and discovery. You will work on data-driven frameworks to understand what drives viewer engagement and business impact, embedded within a fast-paced, cross-functional team.

Responsibilities include building end-to-end data science workflows, collaborating with product stakeholders, and communicating findings to both technical and non-technical audiences, while staying current with