Relational Databases (SQL, MySQL) jobs

Director, Data Scientist - Global Payment Network. This role involves partnering with a cross-functional team to deliver products using machine learning and AI agents to drive foundational, scalable intelligence capabilities across the payments ecosystem, supporting fraud/risk, merchant acceptance, and merchant intelligence.

Locations (4)

McLean, Virginia, United States
New York, New York, United States
Riverwoods, Illinois, United States
Chicago, Illinois, United States

Compensation

McLean, VA: $269,100 - $307,200 for Dir, Data Science New York, NY: $293,600 - $335,100 for Dir, Data Science Riverwoods, IL: $244,700 - $279,200 for Dir, Data Science Chicago, IL: $244,700 - $279,200 for Dir, Data Science

Responsibilities

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 — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Translate the complexity of work into tangible business goals

Requirements

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
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
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
Nice to have: Payments experience
Nice to have: Financial Services experience

Skills

Machine Learning Relational Databases Python AWS Conda H2O Spark

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits

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