Data Scientist III, Supply Chain Optimization Technologies (SCOT), Inbound Planning Science

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

Overview

Data Scientist III, Supply Chain Optimization Technologies (SCOT) – Inbound Planning Science at Amazon. The role focuses on developing scientific solutions to optimize inbound fulfillment strategy across networks and regions to maximize customer experience while minimizing cost to serve and carbon footprint. You will collaborate with the scientific community, technical teams, and business stakeholders to design and implement optimization tools for network flow planning and execution systems, and to influence strategy with data-driven insights.

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.

Basic Qualifications

• Bachelor’s degree.
• Experience with statistical models (e.g., multinomial logistic regression).
• Experience working as a Data Scientist.
• Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, MATLAB).

Preferred Qualifications

• Master’s degree in a quantitative field (statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science).
• Experience with data visualization tools (Tableau, Quicksight, or similar).
• Experience managing data pipelines and leading data science teams.

Compensation and Benefits

The base salary range for this position is listed below. Your Amazon package may include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription), life and AD&D insurance, EAP, mental health support, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Location details vary; the posting may include multiple locations. For more information, contact your Recruiting Partner.

Equal Opportunity: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.