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.

Team Summary

The Visa Consulting and Analytics team provides analytics and consulting services to address client business problems leveraging market and internal data. In addition to building and automating interpretable and actionable predictive models, we assist clients in execution of models and evaluation of results.

The team interacts with stakeholders and team members across multiple functions, and thus strong intuition for developing analytic models that can solve specific business concerns is essential. The role further entails innovating new analytics services as we scale out our activities.

What a Senior Data Scientist does at Visa:

As a Senior Data Scientist, you will work within the Visa Consulting and Analytics team, executing multiple analytic projects and establishing best practices for change management and model automation. You will meet with clients to explain model results, seek opportunities to improve processes, and provide thought leadership in using data to solve business problems.

• Executing multiple medium to large analytic projects along with rest of the stakeholders in analytics & consulting teams
• Establishing best practices for change management, model automation and production rollout
• Familiarity with batch processing and process monitoring for model refresh
• Meeting with clients to explain model results, answer questions and propose further analysis
• Actively seek out opportunities to improve processes and technologies
• Collaborating with the internal teams to fully understand business requirements and desired business outcomes
• Defining detailed analytic scope and methodology, and creating an analytic plan
• Executing with appropriate statistical and machine learning techniques
• Providing thought leadership in both using data to solve business problems and arriving at innovative technology and 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

Projects you will be a part of:

• Attrition and propensity modelling
• Recommendation systems and clustering algorithms
• Network analysis
• LTV and forecasting algorithms

Why this is important to Visa

VCA’s services allow our clients to boost their business performance through leveraging Visa’s expansive market insights and data. Our role in Japan in particular is pivotal in advancing the transition towards a more cashless payments landscape.

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.

What you will need:

• 5 years of analytical experience in applying statistical solutions to business problems
• Graduate degree (Masters or Ph.D.) in computer science, or a quantitative field such as physics, statistics or mathematics, or equivalent experience
• Proficiency in processing large data sets using Hive and related tools
• Unix/Linux proficiency : command line tools, shell scripting
• Fluency in multiple technologies and languages (Python/R/SQL/Hive)
• Familiarity with source control tools (Git etc)
• Experience with pipeline automation, batch processing, ML ops
• Experience with multiple machine learning techniques : clustering, dimensionality reduction, variable selection, cross validation, neural networks, gradient boosting, linear & logistic regression
• Native level Japanese and business level English proficiency ( or vice versa )

What will also help:

• Ability to quickly ideate novel mathematical models to address new problems
• Experience in cards/payments, retail banking, or retail merchant industries

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.