Amazon
Senior Applied Scientist, Modeling and Optimization
$192K–$260K
Santa Clara, CA · Senior · Full-time · Posted Jan 8, 2026
- Experience
- 3+ years building machine learning models or developing algorithms for business application; alternatively, a Master's degree plus 10+ years of industry or academic research experience is specified for the education qualification.
- Education
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience
About the job
Develop and evaluate large-scale optimization solutions for Amazon’s last-mile routing and fulfillment network, improving operational efficiency, costs, and asset planning.
What you'll do
- Develop and improve optimization models and algorithms for last-mile routing, working with software development engineers.
- Analyze network planning, transportation, inventory placement, scheduling, and fulfillment processes to identify cost and efficiency improvements.
- Create metrics to quantify fulfillment-cost improvements from optimization models and tools.
What they ask for
- 3+ years of building machine learning models or developing algorithms for business application experience
- PhD in a listed quantitative field, or Master's degree and 10+ years of industry or academic research experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience in applied research
Pay
USD 192,200.00 - 260,000.00 annually (base salary)
Tools
C/C++, Python, Java, Perl, R, scikit-learn, Spark MLLib, MxNet
AI focus
The role develops machine learning models and algorithms for business applications; familiarity with Data Science and Machine Learning techniques is a plus.
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