Applied Scientist II, Customer Behavior Analytics
Amazon's Customer Behavior Analytics org is looking for an Applied Scientist 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.
We work closely with business stakeholders and strive to continuously produce tangible impact on the company's strategic and tactical planning and operations.
We are looking for a thought leader that has an aptitude for delivering customer-focused solutions and who enjoys working on the intersection of Big-Data analytics, Machine/Deep Learning, and Causal Inference.
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 how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine learning and/or econometric modeling to solve business problems.
You should have strong analytical and communication skills, be able to work with product managers and software teams to define key business questions and work with the analytics team to solve them.
You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing, and also allow you to become part of the large science community within the organization.
Key job responsibilities- Apply expertise in ML and causal modeling to develop new models that describe how Amazon's marketing campaigns impact customers' actions- Own the end-to-end development of novel scientific models that address the most pressing needs of our business stakeholders and help guide their future actions - Improve upon and simplify our existing solutions and frameworks - Review and audit modeling processes and results for other scientists, both junior and senior - Work with marketing leadership to align our scientific developments with the business strategy - Identify new opportunities that are suggested by the data insights - Bring a department-wide perspective into decision making - Develop and document scientific research to be shared with the greater science community at Amazon and beyondAbout the teamThe Customer Behavior Analytics 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.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
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.
We work closely with business stakeholders and strive to continuously produce tangible impact on the company's strategic and tactical planning and operations.
We are looking for a thought leader that has an aptitude for delivering customer-focused solutions and who enjoys working on the intersection of Big-Data analytics, Machine/Deep Learning, and Causal Inference.
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 how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine learning and/or econometric modeling to solve business problems.
You should have strong analytical and communication skills, be able to work with product managers and software teams to define key business questions and work with the analytics team to solve them.
You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing, and also allow you to become part of the large science community within the organization.
Key job responsibilities- Apply expertise in ML and causal modeling to develop new models that describe how Amazon's marketing campaigns impact customers' actions- Own the end-to-end development of novel scientific models that address the most pressing needs of our business stakeholders and help guide their future actions - Improve upon and simplify our existing solutions and frameworks - Review and audit modeling processes and results for other scientists, both junior and senior - Work with marketing leadership to align our scientific developments with the business strategy - Identify new opportunities that are suggested by the data insights - Bring a department-wide perspective into decision making - Develop and document scientific research to be shared with the greater science community at Amazon and beyondAbout the teamThe Customer Behavior Analytics 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.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
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