Sr. Data Scientist, Data Science

Team Summary Visa Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems, focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact projects with tangible financial results. What a Data Science Manager, VCA does at Visa: The Data Science Manager is a key member of the Consulting and Analytics team, responsible for developing Data Analytics solutions to solve complex business problems by working with large data sets using quantitative techniques and building complex statistical models that learn from big data. In this highly collaborative role, you will work across multiple teams and functions to develop cutting-edge, creative, and advanced analytic solutions and processes. Together with other team members, you will design and deliver projects using appropriate analytic methodologies and techniques to address clients' business objectives, collaborating closely with business stakeholders to understand the problems and determine the most suitable analytic approaches that provide meaningful results. The role is focused on Taiwan and will report into Analytics & Data Products lead based in Shanghai. Responsibilities include delivering projects on time and within scope, utilizing an in-depth knowledge of data analytics and advanced data mining techniques, as well as employing AI/ML/LLM models and cloud-based analytics to help clients solve complex business problems. These analyses are essential for corroborating or refuting stated hypotheses and are incorporated into final client-facing solutions. The team continuously creates and protects analytic IP resulting from project learning. Key Responsibilities include: Manage and deliver analytics projects from conception to completion with actionable insights and recommendations. Clearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impact Support transfer technical knowledge to facilitate implementation of the business solution provided. Document all projects developed, including clear and efficient coding, and write other documentation as needed. Design, implement, and validate advanced analytics and machine learning models to address complex business challenges across Visa and its clients—including issuers, acquirers, and merchants—ensuring scalability, accuracy, and business relevance. Utilize Visa's data and analytic capabilities, technology, and industry expertise to develop, standardized and implement the consulting analytical solutions. Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clients. Work with large volumes of data, extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), SQL, etc. Hands-on skills in cleaning, manipulating, analyzing, and visualizing large data sets. Identify relevant market trends by country, based on a deep analysis of payment industry information. Interacting with several internal and external stakeholders for the strategic definition of analysis and initiatives. Perform client-specific analysis on portfolio data including proprietary information, such as customer demographics, activity, spend levels and financial information. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. What you will need: 7–10 years of relevant work experience with a bachelor’s degree, or 6+ years with an advanced degree (e.g., Master’s, MBA, JD, MD). Minimum of 2 years of hands-on consulting experience, with a strong understanding of client-facing project delivery and stakeholder engagem ... (truncated, view full listing at source)