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Amazon Data Scientist - Amazon Business Payments Pay-by-Invoice 
United States, Washington, Seattle 
974082067

08.07.2025
DESCRIPTION


As a Data Scientist on the ABP Research team, you will design and build systems that support financial products. You will work closely with business partners, software and data engineers to build scalable solutions that deliver exceptional value for our customers. You will utilize intellectual and technical capabilities, problem solving and analytical skills, and excellent communication to deliver customer value. You will partner with product and operations management to launch new, or improve existing, financial products within Amazon Business.Responsibilities
You will help create our data assets, then use necessary technical methods and conduct analyses to derive insights that are critical to business success. You will be responsible for researching insights as well as educating the business, product, marketing, and business development teams on the implementation of those insights to enable data-driven, day-to-day decision making. You will partner with our marketing, product management, global engineering, operations and Finance teams to:- Make recommendations for new metrics, techniques, and strategies to improve campaign targeting and measurement.
- Improve targeting capabilities and uncover hidden opportunities using data, analytics and machine learning.- Own the analytics for one or more product areas, lead planning, execution and delivery of projects
- Analyze and solve problems at their root, stepping back to understand the broader context.- Provide support on experimental design, exploratory data analysis, and data management.


BASIC QUALIFICATIONS

- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Master's Degree with 2+ years of data science experience