Senior Data Scientist

Visa; Singapore; Hybrid; SGD 100,000 - 150,000; Full time

Job summary

Visa is seeking a Data Science Manager to leverage unique data assets and drive analytics projects that enhance business performance across the Asia Pacific region. The successful candidate will utilize their analytical skills and business insight to provide data-driven recommendations and collaborate with various teams to shape the future of payments.

Qualifications

• 8 years of analytical expertise in applying AI solutions.
• Experience with real-world data sets and scalable models.
• Proficiency in programming tools and data visualization.

Responsibilities

• Drive value from Visa's data assets for business objectives.
• Deliver data science projects that solve business problems.
• Work with large data sets and build statistical models.

Skills

Analytical expertise

Business acumen

Problem-solving

Team collaboration

Data visualization

Education

Post graduate degree in Quantitative field

Tools

SQL

Python

R

Tableau

TensorFlow

Job description

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.

Job Description

The AP Business and Strategy Analytics team is part of the Intelligence and Data Solutions team, that partners with the Asia Pacific Regional President’s Office to enable Visa internal business units to optimize performance and profitability, and make data-driven decisions. The team provides management intelligence to democratize data insights across the organization and strategic analytics to identify opportunities and deep dive on key payment trends and shape the future of payments.

What a Data Science Manager does at Visa

The successful candidate will focus on driving value from Visa’ unique data assets to strengthen and extend Visa’s impact in the payments landscape across Asia Pacific. You will be required to use your business acumen along with analytical skillset to deliver data science projects that solve Visa’s business objectives. Based on findings from data-driven analysis, you will draw fact-based insights and make actionable recommendations that reflect the business and context. You will be required to work with large data sets using quantitative techniques and build complex statistical models that learn from big data and provide data visualization to enable business stakeholders consume the information. Data sets will include, but not limited to, VisaNet transaction data, Visa operational data, and relevant third party data sources. We have a highly collaborative process and you are required to work across multiple teams and functions for leading & developing cutting edge, creative and advanced analytic solutions.

The role reports to Internal Analytics Lead within the AP Business and Strategy Analytics organization, and will be based in Singapore. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications

• 8 years of analytical expertise in applying various AI solutions to solve business problems
• Post graduate degree in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics or engineering, or equivalent experience
• Experience in working with real-world data sets and building scalable models from large-scale data
• Expertise in Generative AI frameworks and libraries, e.g., LangChain, LlamaIndex, AutoGen, CrewAI, Langraph, llamacpp & OpenAI
• Proficiency in programming tool and libraries such as SQL, Python, Hive, R, Spark, TensorFlow, PyTorch, scikit-learn, etc
• Proficiency in data visualization via Tableau, PowerBI, etc
• Knowledge of statistical and data science techniques such as neural networks,gradient boosting, logistic regression, advanced forecasting techniques, etc

Preferred Qualifications

• Experience in cards/payments, retail banking, or retail merchant industries is important
• Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
• Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
• Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
• Detail oriented and able to ensure highest level of quality/rigor in reports & data analysis
• Proven skills in translating analytics output to actionable recommendations, and delivery
• Experience in clearly articulate ideas and analysis to stakeholders
• Exhibit intellectual curiosity and strive to continually learn

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.

About the company

Visa Inc. is an American multinational financial services corporation headquartered in Foster City, California, United States. It facilitates electronic funds transfers throughout the world, most commonly through Visa-branded credit cards, debit cards and prepaid cards.

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