Join Visa | Senior Data Scientist Opportunity

Company Description

Visa is a global leader in payments and technology, handling over 259 billion payment transactions annually across 200+ countries and territories. Our mission is to connect the world through the most innovative, reliable, and secure payments network, facilitating economic growth and individual prosperity. Join us to be part of a purpose-driven industry leader and make a meaningful impact. Discover more about Life at Visa today.

Job Description

Team Summary

Visa Consulting & Analytics (VCA) offers comprehensive consulting services that deliver tangible results for Visa’s clients, including card issuers, acquirers, and merchants. By leveraging our expertise in strategy consulting, data analytics, marketing, and more, VCA addresses the most critical challenges for our clients.

In Japan, the VCA team provides solutions to clients, tackling unique challenges in strategic growth, profitability, risk management, and digital strategy. Members of VCA Managed Services enhance our partnerships by supporting strategic planning and implementing key initiatives for one of Visa Japan’s largest clients.

What a Senior Data Scientist Does at Visa

The Senior Data Scientist will:

• Execute multiple medium to large analytic projects collaborating with analytics & consulting teams.
• Establish best practices for change management, model automation, and production rollout.
• Handle batch processing and process monitoring for model refresh.
• Meet with clients to explain model results, answer questions, and propose further analysis.
• Collaborate with clients to analyze data, extract insights, and create dashboards.

Why This Role is Important to Visa

VCA helps clients enhance business performance through Visa’s expansive market insights and data. Particularly in Japan, our role is crucial in advancing the shift towards a cashless payments landscape. The Managed Services team works closely with clients, leveraging their data to boost business outcomes using data science capabilities.

Responsibilities

• Proactively seek opportunities to improve processes and technologies.
• Collaborate with internal teams to understand business requirements and desired outcomes.
• Define detailed analytic scope, methodology, and create analytic plans.
• Implement statistical and machine learning techniques.
• Provide thought leadership in using data to solve business problems and offer innovative solutions.
• Ensure project delivery within timelines and budget.
• Work independently and lead team members when needed, providing necessary guidance.

Note: This is a hybrid position. Employees can alternate between remote and office work, with an expectation to be in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications

• 5+ years of relevant experience with a Bachelor's Degree, or
• 2+ years of experience with an Advanced Degree (e.g., Masters, MBA), or
• 0 years of experience with a PhD

Preferred Qualifications

• 5 years of experience in analytical solutions for business problems.
• Graduate degree in computer science or a quantitative field (e.g., physics, statistics, mathematics).
• Proficiency in processing large datasets using Hive and related tools.
• Fluency in multiple programming languages (Java, C, C++, Python, R, SQL).
• Experience with machine learning techniques (clustering, neural networks, regression).
• Unix/Linux proficiency with command-line tools and shell scripting.
• Experience in collaborating with internal/external business functions.
• Native level Japanese and business level English proficiency.
• Ability to ideate novel mathematical models for new problems.
• Experience in payments, retail banking, or merchant industries.
• Knowledge of attrition and propensity modeling, recommendation systems, network analysis, LTV, and forecasting algorithms.

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 veteran status. Visa will also consider qualified applicants with criminal histories in accordance with EEOC guidelines and applicable local law.