Senior Data Scientist, Pricing, Amazon Shipping ID-15801

May 21, 2025

Description

Who are we?

Do you want to build Amazon's next $100B business? We're not just joining the shipping industry—we're transforming how billions of packages move across the world every year. Through evolving Amazon's controlled, predictable fulfillment network into a dynamic, adaptive shipping powerhouse we are building an intelligent system that optimizes in real-time to deliver on the promises businesses make to their customers.

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Design and develop robust forecasting models for shipping costs, customer demand, and transportation capacity.
Partner with other scientists to dynamically predict prices to maximize capacity utilization.
Build and implement robust ML models for customer segmentation, profitability maximization, performance outlier identification, and risk prediction
Use forecasting, statistical, machine learning and analytical techniques to create scalable solutions for business problems.
Collaborate with product managers, data scientists, and software developers to incorporate models into production processes and influence senior leaders.
Educate non-technical business leaders on complex modeling concepts, and explain modeling results, implications, and performance in an accessible manner.
Independently identify and pursue new opportunities to leverage science insights.
Opportunity to expand into other domains such as causal analytics, optimization and simulation.

About The Team

Amazon Shipping's pricing team empowers our global business to find strategic harmony between growth and profit tradeoffs, while seeking long term customer value and financial viability. Our people and systems help identify and drive synergy between demand, operational, and economic planning. The breadth of our problems range from CEO-level strategic support to in-depth mathematical experimentation and optimization. Excited by the intersection of data and large scale strategic decision-making? This is the team for you!

Basic Qualifications

5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience
Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
Experience managing data pipelines
Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
Experience working with data engineers and business intelligence engineers collaboratively
Experience working with scientists, economists, software developers, or product managers

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

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