Data Scientist Ii, Consumer Payments Job in Amazon

DESCRIPTION

The Amazon Payments Team manages all Amazon branded payment offerings, globally. These offerings are growing rapidly and we are continuously adding new market-leading features and launching new products. Our payments products (Amazon Co-Branded Credit Cards, Gift Cards, Points, Shop with Points and Installments ) provide the most innovative payment experience on and off Amazon. We manage a financial services ad serving platform (billions of impressions per year) through Amazons purchase path where we offer Amazon branded and non-branded payment products and services. Our team of high caliber software developers, statisticians, analysts and product managers use rigorous quantitative approaches to ensure that we target the right product to the right customer at the right moment, managing tradeoffs between click through rate, approval rates and lifetime value. We leverage the wealth of Amazons information to build a wide range of probabilistic models, set up experiments that ensure that we are thriving to reach global optimums and leverage Amazons technological infrastructure to display the right offerings in real time. We work closely with product managers to understand their business, collect requirements and deliver high value analytics and insights for the Amazon Payments team that drive acquisition, usage and loyalty. Our petabytes of data has the ability to improve the shopping experience for hundreds of millions of consumers worldwide. Our goal is to delight our customers with their purchasing experience. Those of us who love to work with data see this as the pinnacle of opportunities that you cannot find anywhere else in the world.

We are looking for an outstanding Data Scientist that is able to comprehend the details behind the Amazon Payments Products business, understand/clarify business requirements, transform volumes of data into actionable insights, serve as the technical/statistics SME, help us improve our targeting methods/models by initiating innovative/creative projects, lead analytical discussions and road map, work across teams and influence the analytical direction of external teams, combine expert statistical/modeling knowledge with programming skills to manage and deliver on complex/critical analysis projects, independently identify and resolve business/technical issues, develop best practices and support our product managers across the world. Amazon.com has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, innovative and actionable.

BASIC QUALIFICATIONS

Bachelor's degree in a quantitative field (i.e. math, engineering, statistics, finance, or similar)
4+ years of relevant work experience in data science, business analytics, business intelligence, or comparable experience
Strong proficiency in MS Excel and relational databases - e.g. Redshift, SQL, ETL, Data Warehouse, etc.
Deep understanding of common business metrics and the ability to generate new ones as needed
Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams
An ability to thrive in a highly ambiguous, fast-paced and rapidly-changing environment
Ability to lead large projects and drive through completion

PREFERRED QUALIFICATIONS

Masters degree in an analytical field (or equivalent experience)
2+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience
Practical experience in programing or scripting languages like Python, VBA, etc.
Familiarity with AWS solutions such as EC2, DynamoDB, and S3
Financial service experience is a plus