Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.This opportunity is for the Advertising Forecasting Science team, which consists of scientists and engineers based in Palo Alto, California. The team builds forecasting models for advertising campaigns and financial planning, with revenue exceeding tens of billions of dollars. In addition, the forecasting science team makes auction prediction and handles bid optimization for billions of requests per day, impacting the company’s performance directly using advanced Machine Learning algorithms.As a Senior Applied Scientist, and team leader, you will:· Drive applied science (machine learning) projects end-to-end - from ideation, analysis, prototyping, development, metrics, and monitoring.· Conduct deep analyses on massive Ad user and contextual data sets· Propose viable modelling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary results.· Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions.· Design, develop, and maintain scalable, Machine Learning models with automated training, validation, monitoring and reporting.· Stay familiar with the field and apply state-of-the-art Machine Learning techniques to our domain problems, around forecasting, bidding, allocation, and optimization.· Produce peer-reviewed scientific paper in top journals and conferences.· Present results, reports, and data insights to both technical and business leadership.· Work across teams and lead a group of talented scientists and engineers to solve problems in the domains of forecasting, auction theory, bid optimization, and user clustering.Impact and Career Growth:· You will invent new shopper and advertiser experiences, and accelerate the pace of Machine Learning and Optimization.· Influence customer facing shopping experiences to helping suppliers grow their retail business and the auction dynamics that leverage native advertising, this role will be powering the engine of one the fastest growing businesses at Amazon.· Define a long-term science vision for our ad marketplace, driven fundamentally from the needs of our customers, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams.· This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding.· In the immediate term, this role requires (a) addressing principles of allocation function and pricing in ad marketplace auctions, (b) developing efficient algorithms for multi-objective optimization and AI control methods to find operating points for the ad marketplace auctions and to evolve them, and (c) develop science talent around machine learning, Economics and optimization for WW Advertising.Why you love this opportunity:· Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales.· Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.· We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Team video ~ https://youtu.be/zD_6Lzw8raEAmazon 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