Amazon

DESCRIPTION

Looking for a career at a company that seeks to be Earth’s most customer-centric company? If so, why not consider joining Amazon!

Are you passionate about leveraging data to deliver actionable insights that impacts the daily business decisions at Amazon? Does the prospect of dealing with large data excite you? Do you like getting "scrappy" with data to answer challenging product and customer behavior questions? Do you enjoy building flexible, performant, and global solutions for complex financial and risk problems? If so, here is a great opportunity to consider!

Amazon Business Payments (ABP) is seeking an outstanding Data Scientist who combines their technical expertise with business intuition to build flexible, performant, and global solutions for complex financial and risk problems. You will generate critical insights to set the strategic direction to enhance our product features & processes that will delight our customers.

As a Data Scientist on the ABP Research team, you will design and build systems that support financial products. You will work closely with business partners, software and data engineers to build scalable solutions that deliver exceptional value for our customers. You will utilize intellectual and technical capabilities, problem solving and analytical skills, and excellent communication to deliver customer value. You will partner with product and operations management to launch new, or improve existing, financial products within Amazon Business.

Amazon Business Lending’s Pay By Invoice (PBI) is an exciting program designed to help businesses with lines of credit to facilitate their business spending needs. We take pride in building solutions that leverage key insights to help our business customers to be successful. We are looking for a talented and passionate Data Scientist who can develop a reliable, scalable, and technical infrastructure to serve our business customer needs and improve portfolio performance as we expand the program.

Responsibilities

You will help create our data assets, then use necessary technical methods and conduct analyses to derive insights that are critical to business success. You will be responsible for researching insights as well as educating the business, product, marketing, and business development teams on the implementation of those insights to enable data-driven, day-to-day decision making. You will partner with our marketing, product management, global engineering, operations and Finance teams to:

• Contribute to the development and enhancement of business payment products and features.
• 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.
• Improve targeting capabilities and uncover hidden opportunities using data, analytics and machine learning.
• Understand business and product strategies, goals and objectives. Set the analytics roadmap to drive the goals of the business.
• Own the analytics for one or more product areas, lead planning, execution and delivery of projects
• Analyze and solve problems at their root, stepping back to understand the broader context.
• Interface with all internal related and ancillary teams to deliver data and analytics as requested.
• Provide support on experimental design, exploratory data analysis, and data management.

BASIC QUALIFICATIONS

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment
• Master's Degree with 2+ years of data science experience

PREFERRED QUALIFICATIONS

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.