Amazon Advertising operates at the intersection of e-Commerce and Advertising, offering a range of digital advertising solutions with the goal of helping our customers discover and shop for anything they want to buy. The Amazon Advertising business is growing at a fast pace and this team’s mission is to apply science and technology to accelerate that growth through best-in-class solutions. As the Advertising Measurement Research (AMR) team within Amazon Ads, we conduct customer-relevant industry-leading research and metric development across advertisers and verticals, with the purpose of developing an understanding of how our advertisers’ investment impacts their businesses on- and off-Amazon.


We are seeking an experienced and highly motivated Sr. Research Scientist with strong research design and analytical skills in the fields of marketing and consumer research to join our team. You will lead the design and research to help advertisers and marketers understand the effectiveness of their advertising and improve performance of advertising campaigns by making adjustments to certain facets to achieve desired business outcomes. To accomplish this, you will partner with our measurement product and peer science and analytics teams to enable advertisers across industry verticals to adopt better measurement as a way to improve business outcomes, leveraging proven insights from existing literature and Amazon Ads’ measurement products and data. You will share your domain expertise and knowledge with data scientists on the AMR team, ensuring that their models are informed by the latest research and provide stakeholders with actionable insights. You are also responsible for developing new methodologies, which Data Scientists apply to emerging business problems. As a successful Research Scientist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in causal inference and experiment design, preferably has experience leveraging experimental model to calibrate observational model. You are a hands-on innovator who can contribute to advancing advertising measurement technology, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will coach and guide scientists in the team to grow the team’s talent and scale the impact of your work. You will also communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations.

Key job responsibilities
- Conduct in-depth standard and custom advertising effectiveness studies and bespoke analyses using advanced statistical methods and causal inference techniques for advertisers to understand the relative impact of different marketing strategies across digital platforms and across media
- Communicate complex research results, insights, and recommendations with a diverse set of technical and non-technical stakeholders
- Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale
- Collaborate with cross-functional partners, such as product, go-to-market, analytics and insights professional teams to drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the learning agenda
- Drive and lead of culture of data-driven innovations within and outside across Amazon Ads orgs

About the team
The Advertising Measurement Research team designs and conducts research studies across advertisers and verticals, with the purpose of developing an understanding of how our advertisers’ investment impacts their businesses, both on- and off-Amazon. To benefit customers directly, we develop case studies or white papers, offering advertisers a comprehensive view of emerging measurement trends and best practices. Also, our work influences new product features and metrics to build.