Senior Manager, Data Science

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

Team Summary

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures 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 looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science teams and be responsible for leading data science engagements with our partners. 

What a Sr. Manager, Data Science does at Visa:

The position will be based in Visa’s Singapore office. The successful candidate will have the opportunities to work on huge varieties of problems with our partners. S/he will have a highly analytical bent of mind and requisite skills to independently analyze and interpret data insights.

• Lead the development of data driven solutions aligned with stakeholder priorities and leading different vendors for the execution if required
• Partner with roles across the organization including consultants, engineering, and data scientists to address prioritized problems
• Implement a robust system for measuring and optimizing the quality of deployed algorithms and models. Monitor AI models in production to evaluate performance, model drift, and decay.
• Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
• Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders
• Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing
   

Why this is important to Visa

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We are building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services through the use of data.

Projects you will be a part of:

The nature of projects in this role will focus on driving value from Visa’ unique data assets and collaborating with Visa Issuer Solution team to solve their most strategic business problems.   Here are some sample projects

Buy-Now-Pay-Later (BNPL): 

• Leverage data-driven solutions to develop case studies, better understand consumer targeting, optimize merchant flows and put together convincing, data-based narratives to sell Instalments / BNPL to issuer and seller side participants

Engagement Solutions:    

• Enhance existing Visa loyalty platform data models by leveraging various AI solutions

Portfolio optimization:    

• Conduct client & portfolio level analytics to size opportunities and to derive actionable insights for account teams

Benefit measurement:     

• Analyze benefit program impacts for both merchants and Visa. Develop metrics or use dashboards to quantify current state and to monitor program effectiveness across markets and segments using scientific measurement solution

 

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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

Qualifications

What you will need:

• 8+ year industry experience being a data scientist or analytics consultant.
• Bachelor in STEM field (graduate degree is a plus)
• Hands-on experience in developing machine learning solutions, delivering data science client projects, scaling up data solutions
• Experience with extracting and aggregating data from large data sets using Hadoop, Spark, Kafka, or other tools
• Experience with visualization and reporting tools, such as advanced user of Power BI, Tableau, MicroStrategy, opensource tool, or similar
• Experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
• Exhibit intellectual curiosity and strive to continually learn, self-motivated and results oriented individual with the desire to thrive on small project teams
• Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization
• Understanding of Cards/Payments and Banking business model, or consulting experience is a plus, but not required.

Please Note: Due to the COVID-19 pandemic and the evolving visa/travel restrictions in place, we are currently only able to extend offers to candidates with the right to work in Singapore. We are keeping the situation under close review and will adjust accordingly should the restrictive measures be lifted.

Additional Information

Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in Singapore are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.