Senior Director of Data Science & ML Strategy

Information Technology Senior Management Forum; Riverwoods (IL); On-site; USD 286,000 - 327,000; Full time

Job summary

The Information Technology Senior Management Forum seeks a Senior Director of Data Science to lead data science initiatives for the Global Payment Network. You will work with cross-functional partners to build and deploy machine learning solutions on large-scale datasets, onsite in Riverwoods, IL, focusing on customer-driven decision making across the full model lifecycle.

You will partner with data scientists, software engineers, and product managers, using Python, Conda, AWS, H2O, Spark, and

Qualifications

• Bachelor’s degree plus 10+ years of experience in data analytics, or Master’s degree plus 8+ years, or PhD plus 5+ years of experience in data analytics
• At least 4 years of experience with open source programming languages for large-scale data analysis
• At least 4 years of experience with machine learning
• At least 4 years of experience with relational databases

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-focused outcomes
• Develop machine learning models through design, training, evaluation, validation, and implementation
• Translate technical work into actionable business goals using strong interpersonal communication
• Lead data science initiatives for the Global Payment Network

Skills

Data analytics

Machine learning

Relational databases

Open-source languages

Leadership

Data storytelling

Education

Bachelor's degree (quantitative)

Master's degree (quantitative)

PhD in STEM

Tools

Python

Conda

AWS

H2O

Spark

Scala

R

Job description

The Information Technology Senior Management Forum seeks a Senior Director of Data Science to lead data science initiatives for the Global Payment Network. You will work with cross-functional partners to build and deploy machine learning solutions on large-scale datasets, onsite in Riverwoods, IL, focusing on customer-driven decision making across the full model lifecycle.

You will partner with data scientists, software engineers, and product managers, using Python, Conda, AWS, H2O, Spark, and