Data Science Manager, Amazon Ads Identity

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!AdTech Identity Program (AIP) team is spearheading innovation for the existential challenge in AdTech today: We are building the next generation of Identity products and services that will fuel the growth of Amazon’s advertising business. We revel in designing, developing and operating extremely high volume (internet-scale), low latency systems that drive revenue to Amazon. As an Data Science Manager, you will be responsible for ensuring your team successfully delivers on design, development, testing, and experimentation on the algorithms, datasets, and systems your team owns. You should have an established track record of launching customer-facing experiences, deep technical ability, and excellent project management and communication skills. This role requires working closely with product management to define strategy and requirements, and leading a development team from design through delivery and subsequent operation.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 ~ qualifications- 10+ years of building large-scale machine learning and AI solutions at Internet scale experience- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)- Experience building large-scale machine learning and AI solutions at Internet scale- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career trackPreferred qualification - 10+ years of practical work applying ML to solve complex problems for large-scale applications experience- 5+ years of hands-on work in big data, machine learning and predictive modeling experience- 5+ years of people management experience- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)- Experience in practical work applying ML to solve complex problems for large scale applications- Experience working with big data, machine learning and predictive modeling- Experience in people management- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.- Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language- Experience researching actual applicationsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .USA, CA, Palo Alto - 251,600.00 - 340,300.00 USD annuallyUSA, NY, New York - 240,600.00 - 325,500.00 USD annually