Amazon Corporate LLC Applied Scientist - Delivery Experience in Seattle, Washington
Why this job is awesome?* This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site.* MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers.* We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process.* You will help the Delivery Experience organization to build causal inference framework and analyze the long-term effect on business* Your work will support the Amazon leadership to make visionary business decisions.- Do you want to join an innovative team of scientists and engineers who use machine learning and statistical inference techniques to deliver the best delivery experience on every Amazon-owned site?- Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms to solve real world problems?- Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company?- Do you like to innovate and simplify?If yes, then you may be a great fit to join the Delivery Experience Machine Learning team.Major responsibilities:* Research and implement causal inference techniques to create scalable and effective models in Delivery Experience (DEX) systems* Solve business problems and identify business opportunities to provide the best delivery experience on all Amazon-owned sites.* Design and develop causal machine learning framework to measure the long-term effect of all models in DEX systems* Analyze and understand large amounts of Amazon's historical business data to detect patterns, to analyze trends and to identify correlations and causalities* Establishing scalable, efficient, automated processes for large scale data analysis and causal inference* PhD in Statistics, Economy or in a related area.* 2+ years of hands-on experience in observation study, causal inference, long-term effect and experimentation.* 2+ years Python or R and SQL/Hive/Pig experience.* Strong communication and data presentation skills* Strong problem solving abilityAmazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.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.