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Job Description

Lead data science and machine learning efforts for scalable intelligence across the payments ecosystem.

Responsibilities

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-focused products
  • Apply a broad technology stack including Python, Conda, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data
  • Develop machine learning models across the full lifecycle: design, training, evaluation, validation, and implementation
  • Translate technical work into tangible business goals using strong interpersonal and communication skills

Requirements

  • One of the following education plus analytics experience (degree expected by the scheduled start date): Bachelor’s in a quantitative field plus 9 years of experience performing data analytics
  • One of the following education plus analytics experience (degree expected by the scheduled start date): Master’s in a quantitative field, or an MBA with quantitative concentration, plus 7 years of experience performing data analytics
  • One of the following education plus analytics experience (degree expected by the scheduled start date): PhD in a quantitative field plus 4 years of experience performing data analytics
  • At least 4 years leveraging open source programming languages for large scale data analysis
  • At least 4 years working with machine learning
  • At least 4 years utilizing relational databases

Technology

  • Python, Conda, AWS, H2O, Spark
  • Open-source languages, relational databases, Scala, R

Team

  • The Global Payment Network Data Solutions and Modeling team builds machine learning and AI agents to deliver foundational, scalable intelligence for smarter business decisions across the payments ecosystem
  • Creates models and AI tools to support fraud/risk, merchant acceptance, merchant intelligence, and monitoring

Preferred Qualifications

  • Extensive multi-project experience leading data science solutions in 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

Role Location & Compensation

  • Location: Riverwoods, IL (onsite)
  • Salary: USD 209,500 - 239,100 per year

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