Data Scientist • Senior

Who you are

You have 5+ years of experience in data science, particularly in developing machine learning models and optimization systems. Your background includes hands-on execution of advanced machine learning techniques, and you are comfortable translating complex business problems into production-ready solutions. You thrive in collaborative environments, working closely with product, engineering, operations, and security teams to drive impactful initiatives.

Your expertise in AI and data analysis allows you to develop systems that enhance marketing effectiveness and protect supply chains. You are skilled in defining and tracking success metrics to measure model impact and inform decision-making. You enjoy writing technical papers and sharing your work with the broader community through conferences and publications.

What you'll do

As a Senior Data Scientist at Amazon Global Logistics, you will own the end-to-end model development process, from exploratory analysis to deployment and monitoring. You will collaborate with various teams to enhance features for pricing models and improve the accuracy of fraud detection systems. Your role will involve developing ML-powered systems for revenue management and economic value modeling, ensuring that Amazon remains a leader in global freight.

You will be responsible for building business cases to support science initiatives and model prioritization, ensuring that your work aligns with the company's strategic goals. Your day-to-day tasks may include improving model accuracy, connecting with stakeholders to gather insights, and contributing to high-impact projects that drive the business forward.

What we offer

Amazon provides a competitive salary range of $159,200.00 - $215,300.00 USD annually, along with comprehensive benefits including health insurance, retirement plans, and paid time off. You will have the opportunity to work in a dynamic environment where your contributions directly impact the logistics industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.