The Sr. Director of Data Science will be responsible for:
Recruiting, developing, and retaining a pod of data scientists
Leveraging data science to unlock the value of Visa’s unique data
Driving a robust R&D agenda to identify and monetize opportunities in the non-fraud modeling space
Making complex modeling approaches accessible to lay audiences
Partnering with our Analytics team to identify trends in our projects that indicate potential for new models and driving POCs of a variety of potential models to prioritize those we should fully build out
Continually looking at the environment to challenge our assumptions and innovate on new sources of data, tools, talent, potential partners, etc.
Qualifications
Proven experience building, leading, and inspiring a high-performing team of predictive modelers. Operate as a thought leader and people leader.
Experience with advanced techniques and emerging approaches to data and decision science.
Strong consultative skills to establish relationships across the broader organization and align with Visa’s strategy and vision
Ability to communicate at all levels with both business and technology leaders, with a strong understanding of business data requirements and technology capabilities and an ability to make technical concepts accessible to non-technical audiences.
Ability to influence management and build consensus
Experience
Minimum 10 years’ experience in predictive modeling functions
Experience leading a modeling team in fast-paced environment
Experience in financial services, preferably in payments / card networks or with an issuer, is highly desirable
International experience is a plus
The ideal candidate holds an advanced degree in a quantitative field, such as statistics, mathematics, engineering, or economics.
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