Job Description

DESCRIPTION

Amazon's Payment Products team manages Amazon branded payment offerings globally. These products are growing rapidly and we are continuously adding new market-leading features and launching new products. Our payments products (Amazon Co-Branded Credit Cards, Private Labeled Credit Cards, Non-Amazon Branded Credit Cards, Shop with Points and cross-currency converter) provide the most innovative payment experience on and off Amazon. 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 Amazon’s information to build a wide range of probabilistic models, set up experiments that ensure that we are thriving to reach global optimums and leverage Amazon’s 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 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 seeking an exceptionally talented leader to lead our Data Science team for North America Payment Products and develop a long-term roadmap for analytic capabilities. This is an opportunity to join a group with a broad charter and stakeholders across Amazon.
In this role, you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions. You should have deep expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights. You will have leadership for our team of data scientists and play an integral role in strategic decision-making.
The right candidate will possess excellent business and communication skills, work with business owners to develop and define key business questions, and prioritize the work across your team in order to support the broader business initiatives. You should have a solid understanding of efficient and scalable data mining and an ability to use the data in financial and statistical modeling.
Key responsibilities include:
· Define, build, and lead a team of data scientists
· Be the voice of analytics, support in-depth business reviews, and present to senior management.
· Discover areas of the customer experience that can be automated through machine learning.
· Partner with Product Management teams to drive requirements for new products and integrate data during product development.
· Be a thought leader on data systems, data mining and analysis to scale our capabilities, uncover trends and develop insights.

BASIC QUALIFICATIONS

· Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative bachelor or master degree.
· At least 4 years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Weka, SAS, Matlab) (data extraction, manipulation, statistical analysis and predictive modeling)
· 3+ years of work experience in Data Science model development
· 3+ years of experience in managing Data Scientists and BI Engineers
· Experience in projects involving cross-functional teams
· Experience articulating business questions and using quantitative techniques to arrive at a solution using available data
· Experience in Machine learning (decision trees, multivariate and logistic regression, kNN, kMeans, etc.)
· Experience with data visualization software such as Tableau, Looker, Quicksight
· Depth and breadth in quantitative knowledge: Quantitative modeling, statistical analysis skills, problem-solving skills and Sophisticated user of statistical tools
·
PREFERRED QUALIFICATIONS

· Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data
· An MS or PhD degree in Computer Science, Mathematics, Statistics, Finance, Machine Learning or related technical field
· Experience in online advertising, loyalty programs or financial services (payments products, specifically credit cards would be ideal)
· Experience with customer segmentation and customer behavior analysis

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation