Senior Manager, Data Science & Analytics — Personalization

Amazon Inc.; Seattle (WA); Hybrid; USD 208,000 - 282,000; Full time

Benefits offered by this job

Health insurance (comprehensive)

RSUs

Sign-on payments

Paid time off

Parental leave

Job summary

Amazon is seeking a Senior Manager for Data Science and Analytics in Prime Video Personalization & Discovery to lead a cross-functional team driving measurement, experimentation, and BI initiatives that shape customer experiences worldwide.

The role balances rigorous analysis with delivery speed, partnering with product and engineering to scale data-driven decisions and long-term science roadmaps. Strong leadership and communication are essential.

Qualifications

• 11+ years of BI + Data Science experience.
• Proficiency with SQL and Python.
• Experience with online experimentation systems.
• Ability to build data science, analytics and experimentation capabilities and teams.

Responsibilities

• Build and manage a team of Data Scientists, BI Engineers and Data Engineers.
• Define and drive the multi-year vision for business intelligence, experimentation and measurability in Prime Video.
• Partner with product stakeholders and science peers to identify strategic data-driven opportunities to improve the customer experience.
• Communicate findings, conclusions, and recommendations to technical and non-technical business leaders across Prime Video.
• Educate senior leaders about and advocate for high-quality measurement as an input to data-driven decisions.
• Mentor junior scientists, BI Engineers and review technical artifacts to ensure quality.
• Stay up-to-date on the latest data science, measurability, AI tools, techniques, and best practices and help evangelize them across the organization.

Skills

SQL

Python

Experimentation

Data visualization

Education

Bachelor's degree in Statistics/Applied Math/Operations Research/Economics

Master's degree in Data Science (preferred)

Job description

Amazon is seeking a Senior Manager for Data Science and Analytics in Prime Video Personalization & Discovery to lead a cross-functional team driving measurement, experimentation, and BI initiatives that shape customer experiences worldwide.

The role balances rigorous analysis with delivery speed, partnering with product and engineering to scale data-driven decisions and long-term science roadmaps. Strong leadership and communication are essential.