Senior Applied Scientist, Experience Analytics
Amazon · Seattle, WA · Applied Science
About this role
Amazon is hiring a senior-level Applied Scientist in the machine learning function based in Seattle, WA. The posting calls out experience with Python, AWS, Redshift, TensorFlow. Compensation is listed at $167,100–$226,100 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Seattle, WA
- Department
- Applied Science
- Posted
- May 4, 2026
More roles at Amazon
Job description
from Amazon careersAWS Experience Analytics (EXA) is seeking an Applied Scientist to join our team. EXA exists to turn customer understanding into products and intelligence that teams across AWS can use. We are building a unified customer lifecycle data platform, customer experience measurement frameworks, and segmentation systems, and the science that powers these products is well underway. What we need is someone who can add to our work in segmentation models, behavioural classifiers, and predictive frameworks — bringing both scientific depth and the production engineering skills to take models from notebook to production. You will bring your creative and learn and be curious mindset and work within the science team helping us ship faster across the full range of modelling and ML work and at greater scale. The problems are genuinely interesting. AWS customers are shifting from console-based building toward AI-augmented, agent-primary, and autonomous workflows. The signals that tell us who customers are, what they are trying to do, and where they struggle are changing fundamentally. There is more to model, more to explore, and more to build than the current team can get to — and that is where you come in. Key job responsibilities - Contribute to and extend the…