Data Scientist, 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, per year. Amazon offers additional benefits including sign-on payments and RSUs
.

• 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.

• 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.

• 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.

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

• 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)