Applied Scientist • Senior

Who you are

You have a strong background in applied science, particularly in machine learning and causal inference — you've successfully translated complex research into practical applications that drive business results. Your experience includes working in ambiguous problem spaces, where you've shaped technical and strategic visions to meet organizational goals.

You excel in cross-functional collaboration, partnering with tech and product teams to enhance decision-making processes — your ability to communicate complex concepts clearly has made you a valuable asset in previous roles. You are data-driven and focused on delivering measurable business impacts through innovative solutions.

Your expertise in experimentation methodology allows you to advance scientific development effectively — you understand how to quantify business impacts and improve shopper experiences through data analysis. You are passionate about optimizing advertising strategies and enhancing the synergy between stores and advertising.

Desirable

Experience with large-scale advertising systems or e-commerce platforms is a plus — familiarity with the intricacies of online retail and advertising will help you navigate the challenges of this role. A background in economics or business analytics can also be beneficial in understanding the broader implications of your work.

What you'll do

As a Senior Applied Scientist, you will lead efforts to identify opportunities for optimizing Amazon's Stores and Advertising business — your work will involve enhancing the usage of advertising signals in decision-making processes. You will measure the impact of ads and shopping content incrementality to improve the overall shopper experience.

You will collaborate closely with various teams across Stores and Advertising, ensuring that traffic acquisition strategies are informed by shopper and advertiser behavior — your insights will help shape the future of Amazon's advertising products. You will also be responsible for developing methodologies that advance experimentation and quantify business impacts.

Your role will require you to stay updated on the latest advancements in machine learning and causal inference — you will apply this knowledge to create innovative solutions that drive long-term economic value for shoppers, sellers, and Amazon. You will have the opportunity to shape the technical direction of projects and mentor junior team members.

What we offer

Amazon provides a competitive salary range of $167,100.00 - $226,100.00 USD annually, along with comprehensive benefits including dental, vision, and prescription coverage. You will also have access to mental health support, flexible spending accounts, and a 401(k) matching program.

We encourage a healthy work-life balance with generous paid time off and parental leave policies. At Amazon, you will be part of a dynamic team that is committed to building a world-class advertising business, and you will have the opportunity to make a significant impact on the company's growth and success.