Director (AI/ML/ SAS/Hive/R/SQL/Python/Payments)

Visa cards play a crucial role in allowing our commercial solutions partners to pay and be paid. From large enterprises to small businesses, companies depend on Visa to allow their employees ease of operation in the digital payments ecosystem and to provide them with services that can help them gain valuable insights into their customers spending as well as their own spending. The Global Data Science group supports these commercial partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects 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 hiring a data science director to help grow our commercial solutions business and guide our data scientists in the Bangalore office.

Essential Functions 

• Drive value from Visa’s unique global data assets to answer critical questions within our Visa Commercial Solutions Team

• Act as a site leader for all data scientists across various internal IA and Data Science teams, helping to manage the relationship between other offices and continue to grow the team within Bangalore

• Share learning and leverage best practices across groups

• Develop Metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions

• Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions

• Design and develop AI and ML solutions to be applied to solve our stakeholder’s business problems

• Scope and size opportunities and derive actionable insights for account teams

• Leverage Forecasting models to enable proactive planning of investments and actions

• Monitor program effectiveness to ensure value quantification of efforts

• Draw data-driven insights and make actionable recommendations that reflect the specific business and context

• Utilize Hadoop, and related query engines such as Hive, Python, Spark to perform advanced data mining

• Apply statistical solutions to business problems, to develop high-level deliverables and communicate data and technical concepts to a business audience

• Define detailed analytic scope and methodology, and create analytic plans

• Execute on the analytic plans with appropriate data mining and analytic techniques

• Present analytics, insights and recommendations to a non-technical audience

• Provide mentorship in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Basic Qualifications

• 15 years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Master’s, MBA, JD, MD) or at least 3 years of work experience with a PhD degree

Preferred Qualifications

• Minimum of 15 years of analytical experience in applying solutions to business problems
• Post Graduate degree in a Quantitative field
• Hands on experience with one or more data analytics/programming tools such as SAS/Hive/R/SQL/Python
• Prior experience in payments or financial services industry preferred
• Experience in the application of predictive modeling and machine learning techniques
• Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
• Demonstrated ability to innovate solutions to solve business problems
• Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
• Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred
• Understanding of Cards/Payments and Banking business model would be a plus
• Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
• Detail oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
• Proven skills in translating analytics output to actionable recommendations, and delivery
• Experience in presenting ideas and analysis to stakeholders
• Exhibit intellectual curiosity and strive to continually learn
• Experience with managing project teams and providing direction and thought leadership

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.