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.

Essential Functions

• Lead a team of Data Scientists within Global Data Science, including project oversight, coaching and professional development
• Work with internal/external clients to understand their strategic business questions and lead project scoping/design to answer those questions by leveraging Visa’s data
• Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
• Communicate with clients to understand the challenges they face and convince them with data
• Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
• Develop visualizations to make your complex analyses accessible to a broad audience
• Find opportunities to craft products out of analyses that are suitable for multiple clients
• Leverage big data and cutting-edge data mining techniques, provide thought leadership in analytic techniques and business applications to unlock the value of Visa’s unique data set
• Synthesize ideas/proposals in writing and engage in productive discussions with external or internal stakeholders
• Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Broad knowledge across the entire data science lifecycle, including data engineering, statistics and governance
• Provide guidance in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques
• Organize and manage multiple data science projects with diverse cross-functional stakeholders

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.

- 11+ years of relevant work experience with a Bachelor’s Degree or 10+ years of relevant work experience with an Advanced Degree (e.g. Master’s, MBA, JD, MD) or 3+ years of experience with a PhD
- Minimum of 6+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, or other data-driven functions
- Post Graduate degree in quantitative/relevant field such as Statistics, Operational Research, Computer Science, Economics, Business Analytics, Data Science, Business Administration, etc.
- Expert knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as Hive/R/SQL/Python/SAS
- Experience with extracting and aggregating data from large data sets using SQL or other tools
- Competence in Excel, PowerPoint and Tableau
- Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is strongly preferred
- Experience in managing analytics/data science projects from scoping to delivery
- Articulate communicator able to translate data and technical concepts for a business audience
- Experience with managing project teams and providing direction and thought leadership
- Previous experience working in credit cards, financial services, banks, or lending products is strongly preferred
- Previous experience working with machine learning tools & techniques to measure data quality/integrity is strongly preferred

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.