Amazon
Senior Applied Scientist, GEOS Science Team
$159K–$226K
Nashville, TN +2 · Senior · Full-time · Posted Oct 15, 2026
- Location
- Nashville, TN
Miami, FL
Bellevue, WA - Experience
- 5+ years of applied research experience.
- Education
- Master's degree, or PhD.
About the job
Own and productionize large-scale optimization models that recommend Amazon supply-chain facility locations and network layouts, translating results into actionable capital-planning decisions.
What you'll do
- Formulate and solve network, linear, mixed-integer, and stochastic or robust optimization models; engineer methods to scale them to production.
- Implement and maintain models in Python, including solver integrations, data pipelines, and validation.
- Work with Development Managers, Capacity Planning, and Finance to define problems, run scenarios, explain recommendations, lead initiatives, and mentor scientists.
What they ask for
- Master's degree or PhD.
- 5+ years of applied research experience.
- Knowledge of programming languages such as C/C++, Python, Java, or Perl.
Nice to have
- Experience using managed ML/AI solutions.
- Experience in data center or network capacity planning, infrastructure program/project management, or related technical fields.
Pay
USD 167,100.00 - 226,100.00 annually base salary (USA, FL, Miami); USD 158,800.00 - 214,800.00 annually base salary (USA, TN, Nashville); USD 167,100.00 - 226,100.00 annually base salary (USA, WA, Bellevue)
Tools
Python, C/C++, Java, Perl
AI focus
Apply AI tooling to the science workflow; the broader team is building AI tools to source candidate properties, assemble and validate study data, and generate cost briefs.
Model-written summary · the original posting is authoritative