Director, Global Payments Data Science & AI

Information Technology Senior Management Forum; Riverwoods (IL); On-site; USD 245,000 - 279,000; Full time

Benefits offered by this job

Performance-based incentives

Health benefits

Job summary

Information Technology Senior Management Forum in Riverwoods, IL, is seeking a Director-level leader to drive data science strategy and oversee the execution of ML solutions across the Global Payment Network Data Solutions and Modeling team. This on-site role partners with data scientists, engineers, and product managers to deliver scalable intelligence for the payments ecosystem.

The ideal candidate will have 4+ years in ML, 4+ years with open-source languages, and a strong background in

Qualifications

• Bachelor’s in a quantitative field plus 9 years of data analytics experience
• Master’s in a quantitative field
• 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

Responsibilities

• Partner with cross-functional team of data scientists, software engineers, and product managers to deliver customer-focused products
• Use Python/Conda/AWS/H2O/Spark stack to extract signal from large volumes of data
• Build machine learning models through design, training, evaluation, validation, and implementation
• Translate complex analyses into tangible business goals

Skills

Data analytics

Machine learning

Leadership

Cross-functional collaboration

Strategic thinking

Education

Bachelor’s in quantitative field

Master’s in quantitative field

Tools

Python

Conda

AWS

H2O

Spark

Scala

R

Job description

Information Technology Senior Management Forum in Riverwoods, IL, is seeking a Director-level leader to drive data science strategy and oversee the execution of ML solutions across the Global Payment Network Data Solutions and Modeling team. This on-site role partners with data scientists, engineers, and product managers to deliver scalable intelligence for the payments ecosystem.

The ideal candidate will have 4+ years in ML, 4+ years with open-source languages, and a strong background in