Sr Manager Applied Science Marketing Incrementality and Decision Support

Amazons Customer Behavior Analytics org is looking for an Senior Manager Applied Science to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable ML and causal inference solutions to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. This is a highimpact role with opportunities to develop systems that affect investments to the size of billions of dollars. We work closely with business stakeholders and strive to continuously produce tangible impact on the companys strategic and tactical planning and operations.

A successful candidate will be a selfstarter comfortable with ambiguity able to think big and be creative while still paying careful attention to detail. You should be able to translate complex business problems into scientific challenge and deliver data driven solutions which will allow Amazon to make key investment should be able to translate how data represents the customer journey be comfortable dealing with large and complex data sets and have experience using machine/deep learning at scale. You should have strong analytical and communication skills be able to work with stakeholders and partners which include worldwide business leaders distinguished scientist economist product managers and software teams. You will apply your expertise in Economics ML/DL statistics and datawrangling to identify opportunities for further research and to provide insights that drive larger initiatives. You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing as well allow you to be part of the large science community within the Customer Behavior Analytics (CBA) organization.

Key job responsibilities
The main responsibilities for this position include:
Apply your expertise in ML/DL and statistical modeling to develop solutions and systems that describe how Amazons marketing campaigns impact customers actions
Own the endtoend development of novel causal inference models that address the most pressing needs of our business stakeholders and help guide their future actions
Recruit high performing Economist Applied Scientists and BIEs to the team and provide mentorship.
Establish team mechanisms including team building planning and document reviews.
Review and audit modeling processes and results from scientists within and outside your team
Work with marketing leadership to align our measurement plan with business strategy
Formalize assumptions about how our models are expected to behave and explain why they are reasonable
Identify new opportunities that are suggested by the data insights Bring a departmentwide perspective into decision making

About the team
The Customer Behavior Analytics (CBA) organization owns Amazons insights pipeline from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams decisions and thus how Amazon customers see use and value their experience.

MS/PhD degree in Computer Vision Machine Learning or related areas.
Proven track record of shipping computer vision systems
10 years of working experience on computer vision systems in industry
3 years of managing experience of scientists
Excellent business writing verbal communication and cross discipline collaboration skills
Ability to work in a fastpaced collaborative environment
Expert knowledge of machine learning algorithms and techniques.

Advanced degree in Computer Science Mathematics Statistics Economics or related quantitative field.
Published research work in academic conferences or industry circles.
Experience in building largescale machinelearning models and infra for online recommendation ads ranking personalization or search etc.
Effective verbal and written communication skills with nontechnical and technical audiences.
Experience working with large realworld data sets and building scalable models from big data.
Thinks strategically but stays on top of tactical .
Exhibits excellent business judgment; balances business product and technology very well.

Amazon 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 youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196900/year in our lowest geographic market up to $340300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.