Data Scientist, Experience Analytics

Bring advanced analytics and machine learning to improve AWS customer experience. In this onsite role in Seattle, WA, you will help the Consumer Experience team turn data into production-ready insights, collaborate with product and engineering partners, and communicate results to technical and non-technical stakeholders. The position supports adoption of Gen AI and ML approaches across the data science practice, including building proof-of-concept AI-driven customer use cases.

Compensation: Base salary range is USD 136,000 - 184,000 per year. Amazon offers additional benefits including sign-on payments and RSUs.

What you’ll do

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

Requirements

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

Preferred qualifications

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

Technologies you’ll use

• ML, Gen AI
• SQL, Python
• R, SAS, Matlab

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life options, EAP, Mental Health Support, Medical Advice Line)
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement
• 401(k) matching
• Paid time off
• Parental leave

Location: Seattle, WA (onsite)