Description This Principal Applied Scientist will be the science leader across a suite of causal impact models used across Amazon's business. This scientist will oversee development of a scalable framework to calculate incremental impact of Selling Partner actions and Selling Partner facing programs on their long-term business growth. This framework must support development of both homogenous and heterogeneous treatment effect models that can be used to surface impact estimates to Sellers or guide segmented analyses of impact across populations. These models will scale to 200+ different types of actions and a diverse set of use cases (content prioritization, action lift estimation, program valuation). This role requires advising directors/VPs on using causal and impact estimation models to inform key decisions such as whether to maintain support for a feature, or double down on a SP-facing product. This leader must be innovative, determining the right set of techniques to solve the unique scientific challenges, and designing and implementing scalable solutions. The role requires solving problems of significant scientific and technical complexity (often with incomplete data) that necessitates the use and understanding of methodologies across multiple science and econometrics sub-disciplines. This scientist must apply high-judgement to balance the scientific innovation achieving required model accuracy and will often be required to make trade-offs between speed of delivery, breadth of use cases, accuracy of models, clarity of performance metrics, explainability, and other factors. Key job responsibilities - Lead a group of scientists and software engineers to deliver solutions utilizing ML and other advanced algorithms to solve business problems. - Advance team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner. - Develop science and engineering roadmap, run Sprint/quarter and annual planning, and foster cross-team collaboration to execute complex projects. - Design and execute experiments, and analyze experimental results in collaboration with Product Managers, Business Analysts, Economists, and other specialists. - Hire and develop top talents, provide technical and career development guidance to both scientists and engineers in the organization. - Leverage industry best practices to establish repeatable applied science practices, principles & processes. Basic Qualifications - MS degree (or equivalent) in Electrical Engineering, Computer Science, Mathematics, or related technical field - 5+ years of industrial/academic product experience, such as formal verification, program analysis, constraint-solving, and theorem proving - 5+ years of technical management experience - 5+ years of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Preferred Qualifications - Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field - Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements - Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences - Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.