Amazon
Sr. Applied Scientist , Stores Economics and Sciences
$167K–$226K
Seattle, WA +1 · Senior · Full-time · Posted Oct 9, 2026
- Location
- Seattle, WA
Palo Alto, CA - 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
About the job
Leads applied science initiatives to model and solve Stores supply-chain and marketplace problems, deploying scalable algorithms that improve cost-to-serve and selection.
What you'll do
- Lead science projects from research through production, translating business problems into mathematical frameworks and deploying algorithms.
- Design, implement, and own machine learning and statistical models in production.
- Set scientific priorities and collaborate with partner teams; mentor scientists through reviews and technical writing.
What they ask for
- 3+ years of experience building machine learning models for business applications.
- PhD, or a 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
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow
AI focus
Applies machine learning, neural deep learning, and statistical modeling to Stores problems; develops and deploys scalable algorithms.
Model-written summary · the original posting is authoritative