Data Scientist III: Supply Chain Optimization & Modeling

Amazon.com Services LLC - A57; Bellevue (WA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Mental health support

Medical advice line

Flexible spending accounts

Adoption and surrogacy reimbursement

401(k) matching

Paid time off

Parental leave

Sign-on payments

RSUs

Job summary

Amazon.com Services LLC—Bellevue, WA—seeks a Data Scientist III focused on SCOT inbound planning to build models that optimize inventory placement and product flows across networks, improving customer experience while reducing costs and carbon footprint. The role involves designing mathematical and statistical models, handling uncertainty, and presenting data-driven insights to senior stakeholders.

Collaboration across teams and leveraging large language models to explain optimization solutions

Qualifications

• Experience with statistical modeling, including multinomial logistic regression.
• Experience working as a Data Scientist.
• Experience with data scripting languages (SQL, Python, R, etc.) or statistical/mathematical software.

Responsibilities

• Design and implement mathematical models to optimize inventory placement and product flows across networks.
• Develop statistical and optimization models for supply chain planning under uncertainty.
• Manage multiple high impact projects concurrently.
• Collaborate with business and technical stakeholders across teams to identify opportunities to optimize the supply chain.
• Present data-driven insights and recommendations to diverse senior stakeholders through technical or business briefs.
• Utilize large language models to enhance explainability of optimization solutions and drive engagement from global supply chain planners.

Skills

Statistical modeling

Multinomial logistic regression

Data science experience

Tools

SQL

Python

R

SAS

Matlab

Tableau

Quicksight

Large Language Models

Job description

Amazon.com Services LLC—Bellevue, WA—seeks a Data Scientist III focused on SCOT inbound planning to build models that optimize inventory placement and product flows across networks, improving customer experience while reducing costs and carbon footprint. The role involves designing mathematical and statistical models, handling uncertainty, and presenting data-driven insights to senior stakeholders.

Collaboration across teams and leveraging large language models to explain optimization solutions