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

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 TeamAct 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 BangaloreShare learning and leverage best practices across groupsDevelop Metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitionsWork with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutionsDesign and develop AI and ML solutions to be applied to solve our stakeholder’s business problemsScope and size opportunities and derive actionable insights for account teamsLeverage Forecasting models to enable proactive planning of investments and actionsMonitor program effectiveness to ensure value quantification of effortsDraw data-driven insights and make actionable recommendations that reflect the specific business and contextUtilize Hadoop, and related query engines such as Hive, Python, Spark to perform advanced data miningApply statistical solutions to business problems, to develop high-level deliverables and communicate data and technical concepts to a business audienceDefine detailed analytic scope and methodology, and create analytic plansExecute on the analytic plans with appropriate data mining and analytic techniquesPresent analytics, insights and recommendations to a non-technical audienceProvide 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. 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
• 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 12 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

Additional Information

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.