Amazon

Returning Candidate?

Data Scientist I- Payment Accpetance

Data Scientist I- Payment Accpetance

Job ID 
493622
Location 
US-WA-Seattle
Posted Date 
2/7/2017
Company 
Amazon Fulfillment Services, Inc.
Position Category 
Business Intelligence
Recruiting Team 
..

Job Description

Amazon’s Payment Acceptance & Experience team develops global services to create and improve the customer paying experience. Measuring customer behavior, developing insights and monitoring our success requires large amounts of data.

We are seeking a Sr Data Scientist to join our data science and engineering team. This is an opportunity to join a group with a broad charter and stakeholders across Amazon to directly influence the customer experience for Amazon products worldwide.

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.

The right candidate will possess excellent business and communication skills, work with business owners to develop and define key business questions, and develop data models to support 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.


Responsibilities

You know and love working with business intelligence tools, can build statistical models using multidimensional datasets and can partner with business owners to answer key questions. You are analytical, innovative, creative, disruptive, and you don’t give up. In this role you will have an opportunity to launch new features in our machine learning engine, add new products to our inventory, influence targeting strategy for our products, implement end to end reporting solutions and support product managers in their day to day testing and business needs.

You will also have the opportunity to display your skills in the following areas:

  • Interface with product managers, data engineers and software developers, gather requirements and deliver complete analytics/reporting solutions
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
  • Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business and improve our machine learning engine
  • Make recommendations for new metrics, techniques, and strategies to improve campaign targeting and measurement.
  • Support a platform providing ad-hoc and automated access to large data sets
  • Set the analytics roadmap for Amazon Payment Acceptance & Experience

Basic Qualifications

  • Master’s degree in Computer Science, Mathematics, Statistics, Finance or related technical field
  • 3+ years of relevant employment experience
  • 3+ years of hands on experience in SQL, SAS, R, Python, Excel
  • 3+ years of hands on experience in data extraction, transformation, statistical analysis and predictive modeling
  • 3+ years of experience in projects involving cross-functional teams and successfully completing 5-10 complex/large scale projects
  • 3+ years of experience in data mining using databases in a business environment with large-scale, complex data sets
  • Experience in gathering requirements and formulating business metrics for reporting and analysis.
  • Proven track record of strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams across the world

Preferred Qualifications

  • PhD 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 in Machine learning (decision trees, multivariate and logistic regression, kNN, kMeans, etc.).
  • Experience with data visualization software such as Tableau

Amazon is an equal opportunity employer