Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.

The Team

Visa Consulting and Analytics (VCA) is Visa's consulting and data science division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability.

The VCA India and South Asia team sits within the VCA Asia Pacific regional team and provides a comprehensive range of advisory consulting and analytics solutions that address unique challenges across four key practice areas:  strategic growth, profit improvement, risk management and digital strategy.

The Role

The Manager, Data Science is a key member of the VCA India & South Asia team who would be based in the Mumbai office and would report to the Director, Data Science within VCA.  The manager will work on engagements for key clients in Visa’s India and South Asia region and support internal business decision making using analytics. The manager will be required to collaborate closely with business stakeholders to understand the business problem in order to determine the most appropriate approach that provides meaningful results to clients.

Responsibilities:

• End-to-end delivery of multiple medium to large data science projects

• Collaborating with the client team (both internal and external) to understand the business problem and desired business outcome

• Defining detailed scope and 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

• Ensuring project delivery within timelines and budget requirements

• Work as independent contributor mostly and as a team lead if needed by providing guidance to other team members when required

• Enhancing existing techniques by promoting new methodology and best practices in the data science field

• Providing subject matter expertise and quality assurance of complex data driven data science projects

Technical

• Minimum of 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, 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, and managing multiple analytics projects with diverse cross-functional stakeholders

• Demonstrated ability to innovate solutions to solve business problems

Business

• 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 cards/payments, retail banking, or retail merchant industries is important

• Team oriented, collaborative, diplomatic, and 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, and delivery

• Experience in presenting ideas and analysis to stakeholders

• Exhibit intellectual curiosity and strive to continually learn

All your information will be kept confidential according to EEO guidelines.