VMS Data Science Manager

Company Description

Visa is a global leader in digital payments, orchestrating over 215 billion payment transactions annually between consumers, merchants, financial institutions, and government entities spanning over 200 countries and territories. Our aim is to connect the world through the most innovative, convenient, reliable, and secure payment network, empowering individuals, businesses, and economies to flourish.

By joining Visa, you become part of a culture of purpose and belonging – a place where your growth is prioritized, your identity is cherished, and your work counts. We hold the belief that economies that encompass everyone, uplift everyone. Your contributions will directly influence billions of individuals globally – assisting in the opening of financial access to facilitate the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

What a Senior Data Scientist does at Visa:

• Executes multiple medium to large analytic projects alongside other stakeholders in analytics & consulting teams
• Sets best practices for change management, model automation, and production rollout
• Is conversant with batch processing and process monitoring for model refresh
• Engages clients to explain model results, address queries, and suggest further analysis
• Collaborates closely with clients to scrutinize their data, unearth insights, and develop dashboards

Why this is vital to Visa

VCA’s services enable our clients to enhance their business performance by leveraging Visa's broad market insights and data. Additionally, the Managed Services team works closely with clients to exploit their data better and to enrich their business with data science capabilities. Particularly, our role in Japan is fundamental in advancing the transition towards a more digital payment landscape.

• Proactively pursues opportunities for process and technology improvement
• Cooperates with internal teams for a thorough understanding of business needs and desired outcomes
• Defines comprehensive analytic scope and methodology, and formulates an analytic plan
• Executes using appropriate statistical and machine learning techniques
• Offers thought leadership in utilizing data to address business issues and in devising innovative technological and statistical solutions
• Guarantees project completion within timelines and budget requirements
• Functions primarily as an independent contributor and as a team lead when necessary by offering guidance to other team members when required

This is a hybrid role. Hybrid employees alternate their time between remote and office work. Employees in hybrid roles are expected to work from the office for 2-3 fixed days per week (as determined by leadership/site), generally spending 50% or more of their time in the office based on business needs.

Qualifications

What you will need:

• 5 years of experience in applying statistical solutions to business challenges
• Graduate degree (Masters or Ph.D.) in computer science or a quantitative field such as physics, statistics, mathematics, or equivalent experience
• Competence in processing large data sets using Hive and related tools
• Proficient in multiple technologies and languages (Java/C/C++/Python/R/SQL), with experience in at least one compiled language
• Experience with a broad spectrum of machine learning techniques: clustering, dimensionality reduction, variable selection, cross-validation, neural networks, gradient boosting, linear & logistic regression
• Proficiency in Unix/Linux: command-line tools, shell scripting
• Experience in collaborating with business functions internally or externally
• Native level Japanese and business-level English proficiency (or vice versa)

What will also help:

• The ability to swiftly conceive unique mathematical models to tackle new problems
• Experience in the cards/payments industry, retail banking, or retail merchant industries

Projects you will be a part of:

• Churn and propensity modeling
• Recommendation systems and clustering algorithms
• Network analysis
• LTV and forecasting algorithms

Due to the current COVID-19 pandemic and the evolving visa/travel restrictions, we can only extend offers to candidates with the right to work in Japan and are unable to provide new immigration sponsorships.

Additional Information

Visa is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Individuals with criminal histories will also be considered for employment consistent with the EEOC guidelines and relevant local law.