Sr. Manager, Applied Science, Marketing Incrementality and Decision Support
Apply NowCompany: Amazon
Location: Seattle, WA 98115
Description:
Amazon's 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 high-impact 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 company's strategic and tactical planning and operations.
A successful candidate will be a self-starter, 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 decisions.You 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 world-wide business leaders, distinguished scientist, economist, product managers and software teams. You will apply your expertise in Economics, ML/DL, statistics, and data-wrangling 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 Amazon's marketing campaigns impact customers' actions
- Own the end-to-end 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 department-wide perspective into decision making
About the team
The Customer Behavior Analytics (CBA) organization owns Amazon's 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.
BASIC QUALIFICATIONS
- 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 fast-paced, collaborative environment
- Expert knowledge of machine learning algorithms and techniques.
PREFERRED QUALIFICATIONS
- Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
- Published research work in academic conferences or industry circles.
- Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
- Effective verbal and written communication skills with non-technical and technical audiences.
- Experience working with large real-world data sets and building scalable models from big data.
- Thinks strategically, but stays on top of tactical execution.
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't 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 $196,900/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
A successful candidate will be a self-starter, 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 decisions.You 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 world-wide business leaders, distinguished scientist, economist, product managers and software teams. You will apply your expertise in Economics, ML/DL, statistics, and data-wrangling 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 Amazon's marketing campaigns impact customers' actions
- Own the end-to-end 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 department-wide perspective into decision making
About the team
The Customer Behavior Analytics (CBA) organization owns Amazon's 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.
BASIC QUALIFICATIONS
- 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 fast-paced, collaborative environment
- Expert knowledge of machine learning algorithms and techniques.
PREFERRED QUALIFICATIONS
- Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
- Published research work in academic conferences or industry circles.
- Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
- Effective verbal and written communication skills with non-technical and technical audiences.
- Experience working with large real-world data sets and building scalable models from big data.
- Thinks strategically, but stays on top of tactical execution.
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't 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 $196,900/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.