About this role
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 problemsPost Graduate degree in a Quantitative fieldHands on experience with one or more data analytics/programming tools such as SAS/Hive/R/SQL/PythonPrior experience in payments or financial services industry preferredExperience in the application of predictive modeling and machine learning techniquesDemonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholdersDemonstrated ability to innovate solutions to solve business problemsResults oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigorGood business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferredUnderstanding of Cards/Payments and Banking business model would be a plusTeam oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levelsDetail oriented, is expected to ensure highest level of quality/rigor in reports & data analysisProven skills in translating analytics output to actionable recommendations, and deliveryExperience in presenting ideas and analysis to stakeholdersExhibit intellectual curiosity and strive to continually learnExperience 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.