Senior Manager, Data Science

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.

Essential Functions

• Lead data science engagements supporting Regional and Community issuers, including project oversight, coaching and professional development
• Manage 3 to 5 projects at a time from conception to completion utilizing a team of 5 to 7 experienced professionals
• Strong analytical skills, with demonstrated intellectual and analytical rigor and ability to work with large data sets to synthesize key impacts for clients.
• Develop propensity, segmentation and other predictive models to drive business impact
• Proactively engage with VCA’s Regional and Community client leads in regular strategic & planning discussions, cultivate and manage a pipeline of work with regional and community clients
• Develop frameworks, approaches, solutions and recommendations that effectively and efficiently address the most impactful opportunities and challenges.
• Partner with peers in other functional areas (e.g., marketing ,analytics, risk, innovation) and across global regional teams to execute projects in ways that leverage the breadth and depth of Visa’s resources
• Produce insights and analyses to improve R&C client’s performance, drive understanding of client issues and provide strategic guidance for client priorities across the payment P&L
• Executive Presence including excellent communication and presentation skills, written and verbal and ability to communicate at all
  levels within large organizations.
• Demonstrated leadership, managerial and collaboration capabilities, particularly with those who are not direct reports as may be found in a matrixed organization
• Contribute to the Global Data Science (GDS) community through team engagement activities like recruiting, Data engineering coordination’s, study group, etc.  

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications

• 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications

• 9 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
• 3+ years of working in payments industry (bank, credit union, Fintech) or management-consulting firm
• 5+ years of experience applying data science to solve problems for issuers, acquirers or processors
• Experience leading teams of data scientists in machine learning projects
• Recent experience working with and presenting to issuers, acquirers or processors
• Expertise with modern distributed systems, including both Hadoop/SQL and Apache Spark
• Expertise with one or more data analytics/programming tools such as R/Python
• Expertise in the application of predictive modeling and machine learning techniques
• Excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organ