Director, Data Scientist – Global Payment Network

Role Overview

The Global Payment Network Data Solutions and Modeling team builds the machine learning and AI agents to drive foundational, scalable intelligence capabilities that power smarter business decisions and unlock new value across the payments ecosystem.

What You Will Do

In this role, you will partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love, leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data, build machine learning models through all phases of development, and flex your interpersonal skills to translate the complexity of your work into tangible business goals.

Why It Might Be a Fit

The ideal candidate is a leader who challenges conventional thinking, innovative who continually researches and evaluates emerging technologies, and creative who thrives on bringing definition to big, undefined problems.

Requirements

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics
• A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics
• A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics
• At least 4 years of experience leveraging open source programming languages for large scale data analysis
• At least 4 years of experience working with machine learning
• At least 4 years of experience utilizing relational databases

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits
• Performance based incentive compensation
• Cash bonus(es) and/or long term incentives (LTI)
• Dental insurance
• Vision insurance
• Healthcare
• PTO
• Retirement
• Learning budget
• Parental leave
• Wellness
• Visa/relocation support
• Remote flexibility
• Stipends
• Bonus/commission
• Paid holidays

Tagged as: Compensation Design, Data Analysis