Senior Applied Scientist

Job ID: 1400859 | Amazon.com Services LLC

DESCRIPTION

Amazon’s High Value Messaging (HVM) Analytics team (part of Customer Behavior Analytics) is looking for a Senior Applied Scientist to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable scientific models to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. 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 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, as well as allow you to be part of the large science community within the Customer Behavior Analytics (CBA) organization.

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.

The main responsibilities for this position include:
· Apply expertise in ML and causal modeling to develop systems 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 measurement plan with business strategy
· Formalize assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them
· 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

BASIC QUALIFICATIONS

· PhD degree with 3+ years of applied research experience, or a Master's degree and 6+ years of experience of applied research experience
· 3+ years of experience in building machine learning and/or econometrics models for business application
· Strong background in ML, statistics, science applications to business problems, big data, and/or econometrics
· Hands on experience with at least one of the following: Python, Spark
· Experience working with engineers to productionize ML models (data acquisition, validation, ML training, vending outputs)
· Strong written and verbal communication skills

PREFERRED QUALIFICATIONS

· PhD in Machine Learning, Economics, Statistics, Mathematics, or Related Fields with 4+ years of applied research experience
· Experience with marketing measurement and/or building production level systems for causal inference
· Proficient in software design principles with application on large-scale ML modeling
· Experience with Spark and AWS services including S3 and EMR
· Experience communicating results and business impact of analytical deep dives to senior leadership
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, visit https://www.amazon.jobs/en/disability/us