Company Description|Job Description
As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable & secure payment network - enabling individuals, businesses, & economies to thrive. Our advanced global processing network, VisaNet, provides secure & reliable payments around the world, & is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, & fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network & scale to reshape the future of commerce.
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, & be part of an inclusive & diverse workplace. We are a global team of disruptors, trailblazers, innovators & risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, & doing meaningful work that brings financial literacy & digital commerce to millions of unbanked & underserved consumers. You're an Individual. We're the team for you. Together, let's transform the way the world pays.
Visa Consulting & Analytics (VCA) is Visa's consulting & data science division, serving Visa's clients (including card issuers, acquirers & merchants) & solving their strategic problems focused on improving performance & profitability.
The VCA India & South Asia team sits within the VCA Asia Pacific regional team & provides a comprehensive range of advisory consulting & analytics solutions that address unique challenges across four key practice areas: strategic growth, profit improvement, risk management & digital strategy.
The Manager, Data Science is a key member of the VCA India & South Asia team who would be reporting to the Director, Data Science within VCA India & South Asia. You will work on engagements for key clients in Visa's India & South Asia region & also support internal business decision making using analytics. You will be required to collaborate closely with clients & internal stakeholders to understand the business problem in order to determine the most appropriate approach that provides meaningful results to them.
Delivery of data science projects for India & South Asia for issuers, acquirers & merchants, collaborating with the client team (both internal & external) to understand the business problem & desired business outcome
Defining detailed scope & methodology, creating the framework, executing on the framework with appropriate data mining techniques
Providing thought leadership in using data to solve business problems using innovative statistical solutions
End-to-end delivery of multiple medium to large data science projects within timelines & budget requirements
Work as independent contributor mostly & as a mentor to other team members by providing guidance as & when required
Enhancing existing techniques by promoting new methodology & best practices in the data science world
Providing subject matter expertise & quality assurance of complex data driven data science projects
Minimum 6 years of analytical experience in applying statistical solutions to business problems
Post Graduate degree (Masters or Ph.D.) in quantitative field such as Statistics, Mathematics, Computer Science, Economics, MBA, or equivalent experience preferred
Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive
Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis etc.
Demonstrated experience in planning, organizing, & managing multiple analytics projects with diverse cross-functional stakeholders
Demonstrated ability to innovate solutions to solve business problems
Results oriented with strong analytical & problem solving skills, with demonstrated intellectual & analytical rigor
Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in cards/payments, retail banking, or retail merchant industries is important
Team oriented, collaborative, diplomatic, & flexible style, with the ability to tailor data driven results to various audience levels
Detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
Proven skills in translating analytics output to actionable recommendations, & delivery
Experience in presenting ideas & analysis to stakeholders
Exhibit intellectual curiosity & strive to continually learn