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About the Role
AWS is seeking a Data Scientist to join our Consumer Experience team, focusing on applying ML/AI and advanced analytics to solve customer problems and support AWS's analytical capabilities.
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.
Requirements
- 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
- 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
Skills
- Machine Learning
- Advanced Analytics
- Cloud Computing
- SQL
- Python
- R
- SAS
- Matlab
- Gen AI
Location
- USA, WA, Seattle
Work Type
- Full-time
Experience Level
- 2+ years
Education Level
- Master's degree in STEM
- Ph.D. in STEM
Salary/Compensations
- 136,000.00 - 184,000.00 USD annually
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
- Parental leave
About the Company
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- 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.