About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
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.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
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 engagement. Proven experience in data analytics, data science, AI, or machine learning, preferably within financial services, banking, payments, credit cards, or retail sectors. Deep analytical expertise in applying statistical solutions to business problems. Ability to integrate data from various sources for comprehensive risk assessments. Experience working with large-scale datasets, including data extraction and aggregation using tools such as SQL, Hive, Spark, and Python (pandas, NumPy). Proficiency in machine learning and statistical techniques, including Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, SVM, Clustering, and experience with ML/DL frameworks such as scikit-learn or TensorFlow. Excellent project management, organizational and presentational skills. Knowledge of Agile methodology and scrum practices. Ability to multi-task various projects while meeting required deadlines. Strong teamwork, relationship management and interpersonal skills. Proficient in Chinese and English (spoken/written).
What will also help: Proven experience in delivering growth for financial services products. Proven experience in Risk Management, particularly in Credit or Fraud Risk, within a Financial Institution. Good understanding of payments and banking.
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.