Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As the Data Science Manager on this team, you will: - Lead of team of scientists, business intelligence engineers, etc., on solving science problems with a high degree of complexity and ambiguity. - Develop science roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects. - Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management. - Hire and develop top talent, provide technical and career development guidance to scientists and engineers in the organization. - Analyze historical data to identify trends and support optimal decision making. - Apply statistical and machine learning knowledge to specific business problems and data. - Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed. - Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. - Build decision-making models and propose effective solutions for the business problems you define. - Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication. Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video ~ https://youtu.be/zD_6Lzw8raE
The Amazon-funded Columbia Center of Artificial Intelligence Technology (CAIT) Hub supports research, education, and outreach programs that address the hardest challenges in AI and democratize access to the benefits of AI innovations.
Amazon is collaborating with Hampton University, a historically black college and university (HBCU) known for cutting-edge STEM research, to fund the establishment of a robotics degree program, including a senior capstone course where students will receive mentorship from leading Amazon researchers.
Amazon is collaborating with Howard University, a historically Black college or university (HBCU), to fund research projects, with a focus on machine learning, natural-language processing, and robotics. This includes the creation of RoboLab, where students will engage in prototype development and feasibility testing.
The Amazon IIT–Bombay AI-ML initiative is a collaboration to fund research projects, PhD fellowships, and community events, such as research symposia. The initiative, the first of its kind in India, will advance artificial intelligence and machine learning within speech, and language, and multimodal AI domains.
The JHU + Amazon Initiative for Interactive AI leverages world-class expertise in interactive AI to advance machine learning, computer vision, natural language understanding, and speech processing; democratize access to the benefits of AI innovations; and broaden participation in research from diverse, interdisciplinary scholars and other innovators.
The Amazon and Max Planck Society Science Hub aims to advance the frontiers of research and broadly share benefits across all sectors of society. The collaboration includes sponsored and open research, co-supervised industrial fellowships, and events that enrich MPG and Amazon research communities.
The Amazon and MIT Science Hub supports research, education, and outreach efforts via participation of diverse, interdisciplinary scholars, and other innovators. The Science Hub supports research, education, and outreach efforts with initial investments focusing on artificial intelligence and robotics innovations.
The collaboration includes funds for faculty research projects, with a focus on AI, robotics, and operations research. Faculty are assigned an Amazon research liaison who are technical subject matter experts who stay informed about the progress of the project and serve as a bridge to Amazon’s scientific community.
The UCLA Science Hub for Humanity and AI leverages industry and academic research on artificial intelligence to address challenges and develop solutions that ultimately benefit humanity. The collaboration supports doctoral fellowships, research projects, and community outreach programs.
The Amazon-Illinois Center on AI for Interactive Conversational Experiences is designed to take the next steps in conversational interfaces via research and expertise in artificial intelligence and machine learning. Ultimately, AICE will guide emerging technology into a more intelligent, multimodal form.
The USC and Amazon joint research center is focused on the development of new approaches to machine learning privacy, security, and trustworthiness. The Center for Secure and Trusted Machine Learning (in short, Trusted AI), supports USC and Amazon researchers in the development of novel approaches to privacy-preserving ML solutions.
The UT Austin Science Hub drives collaboration between leading scholars, faculty, students, and entrepreneurs. It creates an environment for local, regional, national, and international communities to accelerate the advancement of science and jointly solve challenges of societal and real-world impact.
Virginia Tech and Amazon are collaborating to advance research and innovation in AI and machine learning. The Amazon – Virginia Tech Initiative for Efficient and Robust Machine Learning supports research projects, doctoral student fellowships, and community outreach.
The UW+Amazon Science Hub underscores Amazon’s commitment to academic collaboration by addressing some of the hardest challenges in science and engineering. The funding supports annual PhD fellowships, research projects, and collaborative research events and activities.
July 08, 2024University students will compete for cash prizes in a competition to securely advance LLMs that code.
March 15, 2024The awards support four research projects exploring the intersection of fashion and AI.
March 13, 2024Amazon Health Services' Sunita Mishra and Columbia University’s Katrina Armstrong discuss technology's potential role in medical settings.
