Director, Data Scientist - Global Payment Network

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

This role leads data science strategy and execution within the Global Payment Network Data Solutions and Modeling team, where machine learning and AI agents support smarter decisions across the payments ecosystem. You will collaborate with partners across data science, engineering, and product to turn large-scale data into scalable intelligence.

Based in Riverwoods, IL in an onsite capacity, this Director-level position focuses on building and operationalizing machine learning solutions across the full development lifecycle.

What you’ll do

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-focused products
• Use a broad technology stack including Python, Conda, AWS, H2O, Spark, and more to extract signal from large volumes of numeric and textual data
• Build machine learning models through design, training, evaluation, validation, and implementation
• Apply interpersonal skills to translate complex analysis into tangible business goals

Team mission

• The Global Payment Network Data Solutions and Modeling team builds machine learning and AI agents that enable foundational, scalable intelligence for the payments ecosystem
• Models and AI tools support fraud/risk, merchant acceptance, merchant intelligence, and monitoring

Required qualifications

• Currently has, or is in the process of obtaining, one of the following degrees with the expectation it will be obtained on or before the scheduled start date:
  • Bachelor’s in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related quantitative field) plus 9 years of data analytics experience
  • Master’s in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, )
• 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

Technologies

• Python, Conda, AWS, H2O, Spark, Scala, R

Preferred qualifications

• Extensive multi-project experience leading data science solutions within payments, financial services, or fintech
• At least 1 year of experience working with AWS
• At least 3 years of experience managing people
• At least 5 years of experience in Python, Scala, or R for large scale data analysis
• At least 5 years of experience with machine learning

Ideal candidate profile

• Leader: challenges conventional thinking, partners with stakeholders to improve the status quo, and is passionate about talent development
• Innovative: researches and evaluates emerging technologies and stays current on state-of-the-art methods and applications
• Creative: brings structure to large, undefined problems and shares new ideas
• Technical: comfortable with open-source languages and hands-on with data science solutions using open-source tools and cloud computing platforms

Compensation & benefits

• Salary: USD 244,700 - 279,200 per year
• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Comprehensive, competitive, and inclusive set of health, financial and other benefits

Minimum experience: 4 years.