Sr Manager, Applied Science, Outbound Commnications - Traffic and Marketing Tech (TMT) - Amazon

Description Outbound Communications own the worldwide charter for delighting our customers with timely, relevant notifications (email, mobile, SMS and other channels) to drive awareness and discovery of Amazon's products and services. We meet customers at their channel of preference with the most relevant content at the right time and frequency. We directly create and operate marketing campaigns, and we have also enabled select partner teams to build programs by reusing and extending our infrastructure. We optimize for customers to receive the most relevant and engaging content across all of Amazon worldwide, and apply the appropriate guardrails to ensure a consistent and high-quality CX. Outbound Communications seek a Sr Manager of Applied Science with strong leadership and communication skills to join our team and head the combined Science and Analytics team. You will lead a team of machine learning scientists, data scientists, and BIEs to help us discover and define problems, and apply quantitative solutions to problems to impact marketing at Amazon. You will define new metrics to impact the efficiency and effectiveness of our channel and our programs. You will be working with cutting edge technologies that enable big data and parallelizable algorithms. You will play an active role in translating business and functional requirements into concrete deliverables. You will work closely with product management and the software development team to put solutions into production. Key job responsibilities - Set the science and analytics vision for Outbound Communications - Apply business judgement to identify opportunities and develop science strategies - Work collaboratively and effectively with engineering and business partners to build algorithms and models for message selection, content personalization, and message targeting - Hire and grow a talented team of science and analytics leaders - Influence, collaborate, and communicate effectively with other engineering, science, and business leaders - Communicate scientific solution and insights effectively to a non-scientific audience - Develop metrics and mechanisms to audit channel and program quality and develop best practices We are open to hiring candidates to work out of one of the following locations: New York, NY, USA | Seattle, WA, USA Basic Qualifications - 5+ years of exceptional hands-on experience in building quantitative solutions. - 5+ years of experience managing teams of machine learning, data science professionals and/or engineers - 3+ years of experience developing algorithms or building machine learning models for business applications. - PhD or MS degree in Engineering, Technology, Computer Science, Machine Learning, Statistics, Mathematics or related quantitative / engineering field. - Excellent communication skills and management and leadership experience in applying quantitative solutions. Having an ability to explain analytical concepts to a non-technical audience is a must. - Prototyping skills (e.g., R/Python) Preferred Qualifications - 5+ years of experience building machine learning and analytic applications. - Experience in reinforcement learning and natural language processing - PhD and 7+ years of relevant industry or academic research experience - Advanced knowledge of big data analytics technology - Skills with Java, C++ (or other high-level programming language) as well as R, MATLAB, Python (or similar scripting language) Amazon 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $175,000/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.