Amazon
Sr. Applied Scientist, Customer Behavior Analytics (Marketing Measurement Solutions)
$167K–$226K
Seattle, WA · Senior · Full-time · Posted Sep 9, 2026
- Experience
- 4+ years of applied research experience; 3+ years building machine learning models for business applications; PhD, or Master’s degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Develops scalable machine-learning and causal-inference solutions to measure how Amazon marketing campaigns influence customer behavior and guide business decisions.
What you'll do
- Build and own causal-inference models and measurement systems for marketing campaigns.
- Improve modeling solutions and frameworks; review and audit other scientists’ modeling work.
- Partner with marketing leaders and stakeholders to align measurement with business strategy and share scientific research.
What they ask for
- 4+ years of applied research experience.
- 3+ years of experience building machine learning models for business applications.
- PhD, or Master’s degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python or a related language; experience with neural deep-learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, or scipy.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
Transformer models, LLMs, Java, C++, Python, R, scikit-learn, Spark MLLib
AI focus
Applies Transformer models, LLMs, machine learning, deep learning, and statistical modeling to measure marketing effects and customer actions.
Model-written summary · the original posting is authoritative