Data Scientist, Consumer Experience & GenAI

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

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) is seeking a Data Scientist to join our Consumer Experience team. You will tackle large-scale data challenges and apply ML/AI and analytics to solve real customer problems.

Reporting to the Science Lead, you will build production analytics, partner with product, engineering, and design teams, and help translate insights into action. You will contribute to Gen AI initiatives across the data science practice.

Qualifications

• 2+ years of data scientist experience.
• 3+ years of SQL, Python, or R/SAS/Matlab experience.
• 3+ years of ML/statistical modeling data analysis tools and techniques.
• 1+ years of guiding and coaching a group of researchers.
• 1+ years of working with or evaluating AI systems.
• Master's degree in STEM or related STEM experience.
• Experience applying theoretical models in an applied environment.

Responsibilities

• Apply statistical analysis, ML, and data mining techniques to deliver insights that shape the AWS customer experience.
• Build production-ready analytics solutions that support effective business decisions.
• Partner with product, engineering, and design teams to develop and launch data products.
• Contribute to the adoption of Gen AI and ML-based approaches across the data science practice, including building proof-of-concept AI-driven customer use cases.
• Communicate technical findings clearly to both technical and non-technical stakeholders.
• Bring new ideas — share approaches, tools, and methods that raise the bar for the team.

Skills

Python

SQL

ML modeling

Data analysis

Team coaching

AI systems

Education

Master's in STEM

PhD in STEM

Tools

R/SAS/Matlab

Job description

Amazon Web Services (AWS) is seeking a Data Scientist to join our Consumer Experience team. You will tackle large-scale data challenges and apply ML/AI and analytics to solve real customer problems.

Reporting to the Science Lead, you will build production analytics, partner with product, engineering, and design teams, and help translate insights into action. You will contribute to Gen AI initiatives across the data science practice.