Job summaryAmazon 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!The Advertising Identity Program (AIP) identifies traffic across all devices, websites and apps. We maintain identity graphs that enable us to identify custom audiences and/or Amazon users/sessions across devices and browsers. We enable use cases for Amazon DSP like targeting, audience matching, re-marketing, attribution, frequency capping, traffic quality, regulatory and privacy compliance. As a Data Scientist on this team you will: Develop Data Science solutions from beginning to end.Deliver with independence on challenging large-scale problems with complexity and ambiguity.Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.Build Machine Learning and statistical models to solve specific business problems.Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.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 A day in the lifeYou will work collaboratively both within and outside of the Advertising team. As a Software Engineer, you would spend most of your time architecting, designing and coding and the rest in collaboration and discussion. Since we are now working remotely, we also like to have fun by taking time to celebrate each other and to spend time with happy hours. About the teamJoining this team, you’ll experience the benefits of working in a dynamic, fast-paced environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading Internet companies. We provide a highly customer-centric, team-oriented environment.AdTech Identity Program (AIP) team is spearheading innovation for the existential challenge in AdTech today: The need for reliably establishing customer identity in a IDless world without 3P cookies or Device identifiers.