Data Scientist, Experience 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

Job ID: 10580770 | Amazon Development Center U.S., Inc.

AWS is seeking a Data Scientist to join our Consumer Experience team. We're looking for someone who is curious about large-scale data challenges and motivated to apply ML/AI and advanced analytics to solve real customer problems. Reporting to the Science Lead, this role supports the analytical capabilities of AWS by applying emerging technologies, contributing to data science best practices, and partnering with stakeholders to deepen understanding of the AWS customer experience. The ideal candidate has experience working in complex data and analytics environments, with hands-on skills in Machine Learning and advanced analytics techniques — preferably within cloud computing. You should be comfortable building models and equally comfortable explaining what they mean to a non-technical audience.

Key job responsibilities

• Apply statistical analysis, ML, and complex 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.

Basic Qualifications

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• 1+ years of guiding and coaching a group of researchers experience
• 1+ years of working with or evaluating AI systems experience
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
• Experience applying theoretical models in an applied environment

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company
• Experience in defining and creating benchmarks for assessing GenAI model performance
• Experience working on multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience effectively communicating complex concepts through written and verbal communication

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually