Applied Scientist, AWS Marketing

Amazon Web Services (AWS) is creating an exceptional marketing organization and is in need of an Applied Scientist to join the Marketing Data: Science & Engineering (D:SE) team to lead AWS Measurement, targeting, recommendation, forecasting related AI/ML products and initiatives across AWS Marketing. This role involves enhancing the science and measurement standard in AWS Marketing. As a leader of the Marketing Data: Science & Engineering (D:SE) team, your work will include collaboration with economists, scientists, and engineers within the team, as well as partnering with other science, economics, product, and business teams across AWS Marketing, to develop next-generation marketing measurement, valuation, and machine learning capabilities that will improve our key performance metrics. We are seeking a passionate, result-oriented, and innovative Applied Scientist capable of creating and improving AI/ML models for AWS marketing stakeholders. You will collaborate closely with our scientists, economists, and software engineers to solve marketing problems using genAI/ML solutions on a large scale. Your work will directly impact our direct customers. Inclusive Team Culture At AWS, we value our diversity. We are devoted to promoting a culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We offer innovative benefits and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Work/Life Balance Our team places high value on work-life balance. It isn't about the hours spent at home or work but about finding the balance that brings energy to both aspects of your life. We believe in achieving the right balance between personal and professional life, which is critical for lifelong happiness and fulfillment. We offer flexible working hours and encourage you to find your own work-life balance. Mentorship & Career Growth Our team is committed to supporting new members. We have a diverse mix of experience levels and tenures, cultivating an environment that values knowledge sharing and mentorship. Our senior members take pleasure in one-on-one mentoring and thorough code reviews. We are invested in your career growth and aim to assign projects that will help each team member develop into a well-rounded engineer and take on more complex tasks in the future. Key Job Responsibilities You will lead the design, development, deployment, and innovation of gen AI models. You will network with scientists, economists, engineers, and product leaders to simplify complex business problems into quantitative approaches using Amazon data. You will guide the engineering team on scalability and reliability for large-scale optimization systems. Your ability to communicate complex systems to business partners and senior leadership is vital. Your passion for continuous learning and application of the latest industry best practices to meet evolving business requirements will be crucial. You will influence the organization's long-term science initiatives and mentor other scientists within AWS. About The Team We are a team that refuses to accept constraints, whether internal or external. We are fond of data and believe we can use it to deliver unique experiences to our millions of prospective customers. We operate across all areas of AWS Marketing and deliver scaled global solutions as a multifunctional team of experts. The position is open for candidates to work out of the following locations: Vancouver, BC, CAN. Basic Qualifications - 3+ years of experience in building models for business applications. - PhD, or a Master's degree and 4+ years of experience in CS, CE, ML, or a related field. - Proven experience in patents or publications at top-tier peer-reviewed conferences or journals. - Practical experience in programming in Java, C++, Python, or a related language. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Preferred Qualifications - UNIX/Linux user experience. - Experience in professional software development. - Familiarity with popular deep learning frameworks such as MxNet and Tensor Flow. Amazon is dedicated to maintaining a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on any protected grounds, such as race, national origin, gender, gender identity, sexual orientation, disability, age, among others. If you require an accommodation, please notify your Recruiter. The base salary for this position varies from $149,300/year to $249,300/year and depends on several factors, including job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided in addition to a full range of medical, financial, and other benefits. Interested candidates should apply via our internal or external career site.