Job Description
Company Description
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
Team Summary
Data Science team is a key part of decision management engine at Visa.This is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries - serving major FIs and merchants in Asia Pacific. Analytics & Data Products is looking for a hands-on person that earns trust and respect of the team. The person must be results oriented, highly organized, and must, must be focused on delivering innovative analytics work.
What a Data Scientist does at Visa:
The Data Scientist will be working together with other members in the team to design and deliver projects with the appropriate analytic methodologies and techniques to solve client’s business objectives. The team closely collaborates with business stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to clients. Responsibilities include delivering projects on time and within scope with an in-depth knowledge of data analytics and cutting-edge data mining techniques as well as the use of predictive, classification and alternate analytic algorithms for modeling and segmentation. These analyses are foundational to corroborate or refute stated hypotheses and are incorporated in the final client-facing solutions. The team is responsible for continuously creating and protecting analytic IP resulting from project learning.
As a Data Scientist you will be responsible for developing Data Analytics solutions to solve business problems. Here, you will be required to work with large data sets using quantitative techniques and build complex statistical models that learn from big data. We have a highly collaborative process and you are required to work across multiple teams and functions for developing cutting edge, creative and advanced analytic solutions and processes.
Why this is important to Visa?
The Data Scientist is a key member of the Consulting and Analytics team. DS is key driver to Visa business.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Responsibilities:
- Directing the execution of medium to large analytic projects along with rest of the stakeholders in both internal and external
- Collaborating with the different teams to fully understand business requirements and desired business outcomes.
- Defining detailed analytic scope and methodology, and creating analytic plan
- Executing on the analytic plan with appropriate data mining and analytic techniques
- Performing QA on data and deliverables by analysts and own deliverables
- Ensuring all project documentation is up to date and all projects are reviewed per analytic plan.
- Ensuring project delivery within timelines and budget requirements
- Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
- Providing subject matter expertise and quality assurance of complex data driven analytic projects
Qualifications
What you will need
Technical:
- Proficient in Python, SQL, and commonly used data analytics libraries/machine learning frameworks, with the ability to independently perform data processing, feature engineering, statistical analysis, modeling, and data visualization.
- Strong predictive modeling and business analytics capabilities, with the ability to translate business problems into analytical frameworks and modeling solutions, and deliver interpretable, actionable recommendations.
- Familiarity with generative AI and large language models (LLMs), including a basic understanding of prompt design, retrieval-augmented generation (RAG), knowledge-based question answering, text analytics, and intelligent assistant use cases, hands-on experience is a plus.
- Excellent project execution and cross-functional collaboration skills, with the ability to work effectively with business, product, and engineering teams to drive analytics initiatives into production.
- Strong problem-solving skills and an innovative mindset, with the ability to propose data and AI driven solutions that support business growth and operational efficiency.
Business:
- Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor.
- Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred.
- Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels.
- Detailed oriented, is expected to ensure highest level of quality/rigor in reports and data analysis.
- Proven skills in translating analytics output to actionable recommendations, and delivery.
- Experience in presenting ideas and analysis to stakeholders
- Exhibit intellectual curiosity and strive to continually learn
What will also help:
- Minimum of 3 years of analytical experience in applying statistical solutions to business problems
- Post Graduate degree in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience preferred.
- Understanding of Cards/Payments and Banking business model would be a plus.
- Proficient in Chinese (Mandarin) language
Projects you will be a part of:
- New Analyst tools and algorithm.
- Beside data analyst, the consulting skill is need to development.
Additional Information
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.
