The Alexa 1 P Devices and Marketing organization is looking for an experienced Research Scientist who is energized by the opportunity to help build the future of AI through Alexa . You will be joining the Alexa Customer Science (ACS) team, whose mission is to surface timely, scientifically-grounded customer insights that help ground Alexa product and marketing decisions. The ideal candidate will have a strong background in quantitative research methods, excellent analytical skills, comfort with ambiguous problem spaces and large-n quantitative and qualitative data sets, and a passion for understanding individual-level attitudes and behavior. Experience with sampling design and survey data weighting is desirable. General AI fluency is a requirement for this role, and experience with AI research workflow integrations is highly desirable. As a Research Scientist with ACS, you will be responsible for designing, conducting, and analyzing research that helps product and marketing teams in Alexa Devices better understand our customers' preferences, experiences, and behaviors. You will own research projects end-to-end, including measurement strategy, data collection, analysis, and reporting to peers and business leaders. You will work closely with cross-functional teams, including product managers, marketing managers, UX researchers and data scientists, designers, and engineers. You should have deep expertise in the design, creation, management, and business use of surveys, randomized experiments (including conjoints, maxdiff, and other choice tasks), and the latest research tools, including those leveraging AI applications. Competency in mixed-methods or qualitative approaches is also desirable. Key job responsibilities- Work closely with product and marketing teams, as well as fellow researchers, to identify research topics and build a research roadmap; communicate and refresh on a regular basis to ensure relevancy.- Create a deep understanding of customers through descriptive, inferential, and experimental approaches (existing or invented) that you identify as being most effective for answering a given business question.- Design, implement, and analyze data from surveys, randomized experiments, and other large-n data sets.- Work with data engineering and business intelligence teams to triangulate survey data with customer engagement and segmentation data.- Create repeatable and scalable mechanisms to measure key customer metrics that drive product iteration.- Synthesize a wide range of primary and secondary data types leading to focused, insightful, and actionable insights that persuade and inspire partners and leaders to take concerted, informed actions.- Work closely with research peers to promote best practices, build resources, and train team members to enable them to execute their own research projects. A day in the life. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazons culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious and earn trust. About the team. The Alexa Customer Science (ACS) team is a team of Research Scientists, UX Researchers, and Market Researchers that surfaces timely, scientifically-grounded insights about customers to guide marketing and product leaders. Basic Qualifications- PhD, or Master's degree and 4 years of quantitative field research experience- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience analyzing both experimental and observational data sets. Preferred Qualifications- Knowledge of R, MATLAB, Python or similar scripting language- Experience with agile development- Experience building web based dashboards using common frameworks- Experience with AI/ ML technologies.