Data Scientist - Customer Experience & GenAI Analytics

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Development Center U.S., Inc. in Seattle seeks a Data Scientist to join the Consumer Experience team.

You will apply ML/AI and analytics to solve real customer problems, building production-ready analytics to support business decisions and partnering with product, engineering, and design teams to launch data products. The role emphasizes collaboration, communication across technical and non-technical audiences, and mentoring researchers while contributing to Gen AI initiatives and

Qualifications

• 2+ years of data scientist experience.
• 3+ years of data querying languages (SQL) or scripting languages (Python) experience.
• 3+ years of ML/statistical modeling tools experience.
• 1+ years of guiding and coaching a group of researchers experience.

Responsibilities

• Apply statistical analysis, ML, and data mining to deliver insights shaping the customer experience.
• Build production-ready analytics solutions for business decisions.
• Partner with product, engineering, and design to develop and launch data products.
• Contribute to Gen AI adoption and ML-based approaches across data science practice.
• Communicate technical findings clearly to technical and non-technical stakeholders.
• Share new ideas and tools to raise team standards.

Skills

SQL

Python

Machine learning

Mentoring researchers

AI systems evaluation

Mathematics / statistics

Education

Master's degree in STEM

PhD preferred

Tools

R / SAS / Matlab

Python

Job description

Amazon Development Center U.S., Inc. in Seattle seeks a Data Scientist to join the Consumer Experience team.

You will apply ML/AI and analytics to solve real customer problems, building production-ready analytics to support business decisions and partnering with product, engineering, and design teams to launch data products. The role emphasizes collaboration, communication across technical and non-technical audiences, and mentoring researchers while contributing to Gen AI initiatives and