Senior Data Scientist, Inbound Supply Chain Optimization

Amazon; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health insurance

RSU program

Paid time off

Job summary

Amazon is seeking a Data Scientist III within SCOT Inbound Planning Science to develop models optimizing inventory placement and product flows across networks. You will collaborate with science, technical teams, and stakeholders to design optimization tools and influence strategy with data-driven insights.

The role requires advanced statistical modeling, SQL/Python/R experience, and a track record as a Data Scientist.

Qualifications

• Bachelor’s degree required.
• Experience with statistical models (e.g., multinomial logistic regression).
• Experience as a Data Scientist.
• Experience with data scripting languages (SQL, Python, R) or statistical/mathematical software (R, SAS, MATLAB).
• Master’s degree in a quantitative field preferred.
• Experience with data visualization tools (Tableau, Quicksight).
• Experience managing data pipelines and leading data science teams.

Responsibilities

• Design and develop mathematical models to optimize inventory placement and product flows.
• Design and develop statistical and optimization models for planning supply chain under uncertainty.
• Manage several high‑impact projects simultaneously.
• Consult and collaborate with business and technical stakeholders across multiple teams to identify opportunities to optimize the supply chain.
• Communicate data‑driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.
• Leverage language models to improve explainability of optimization solutions and drive engagement from supply chain planners globally.

Skills

Statistical modeling

SQL

Python/R

Communication

Education

Bachelor’s degree

Master’s degree (preferred)

Tools

Tableau/Quicksight

Data pipelines

Job description

Amazon is seeking a Data Scientist III within SCOT Inbound Planning Science to develop models optimizing inventory placement and product flows across networks. You will collaborate with science, technical teams, and stakeholders to design optimization tools and influence strategy with data-driven insights.

The role requires advanced statistical modeling, SQL/Python/R experience, and a track record as a Data Scientist.