Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Team Summary
To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our business partners such as financial institutions, merchants, fintechs, government agencies 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.
What a Director (Data Science) does at Visa:
Why this is important to Visa
As payments consulting arm of Visa, Data Science team 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 both internal and external business partners grow their business and solve problems by providing advisory services through the use of data.
Projects you will be a part of:
• 12+ years of relevant work experience with a Bachelors Degree or 10+ years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 3+ years of work experience with a PhD
• Bachelors or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, Business Analytics, Industrial Engineering, or a related technical field
• Understanding the fundamentals of advanced M/L or D/L algorithms and Generative A.I.
• Experienced in extracting and aggregating data from large data sets using SQL/Hive or Spark
• Generating and visualizing data-based insights in software such as Tableau, Spotfire
• Deriving and communicating data-driven insights and conveying actionable recommendations
• Professional work in designing workplan and overall milestones to develop data solutions and bespoke data advisory project
• Capable to guide building predictive and descriptive models using cutting edge M/L , D/L and Gen A.I. (ex. LLM) tool kit, Jupyter notebooks, Python, PyTorch, TensorFlow, Langchain, LAMA2 etc.
• Previous exposure to financial services, credit cards or merchant analytics
• Managing analytics/data science projects from scoping to delivery, and engaging with internal/external stakeholders.
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.