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Data Scientist - job 5 of 23

Company 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

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, data modelling, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results. Currently the team has 800+ professionals (including consultants, data scientists and economics) globally with 1,350+ projects executed in 2022. Key focus areas of VCA in this year are to drive Value-in-kind (VIK) revenue, include consulting VIK to displace cash incentives in every new or renewal client deals and build a strong team of data scientists and consultants.

The incumbent will be part of VCA geographic team cluster of Indonesia, Philippines, Vietnam, Myanmar, and Cambodia (IPVMC) markets, and will be responsible for advisory engagements with Visa's clients in this cluster. These are highly diversified geographies with clients at different levels of progress. You will be challenged to stretch your thinking and innovation is always an edge to the work that we do.

What a Data Scientist will do and learn at Visa:

The Data Scientist will be a member of the Asia Pacific Data Science team and report to the Data Science Lead for Vietnam. The position will be based in Visa’s Vietnam office in Ho Chi Minh City, however, project support may be needed for clients in Ha Noi as required.

Key responsibilities include:

  • Manage and deliver analytics projects from conception to completion with actionable insights and recommendations
  • Support project scoping, defining methodology, creating and executing on the framework with appropriate data mining techniques
  • Support business development discussions on data science solutions, understand and gather client requirements and articulate clearly on solution frameworks
  • Clearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impact
  • Work with VisaNet (i.e., Visa’s transaction data), clients and 3rd party data sources to create advanced data-driven 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

Why this is important to Visa:

As payments consulting arm of Visa, VCA 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 Visa’s clients grow their business and solve problems by providing consulting services through the use of data.

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

Qualifications

We are looking for a motivated, analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of experience, be curious about payments industry and application of data analytics, be results-driven and client-centric.

  • Minimum 5 years of professional work experience in banking, payments or related industry
  • Deep analytical expertise in applying statistical solutions to business problems
  • Experience with extracting and aggregating data from large data sets using SQL, Hive, Spark, or other tools
  • Experience on programming languages (Python and/or C or more), ML/DL tools, Scikit-learn, Tensorflow or PyTorch and proficiency in one or more statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc
  • Demonstrated ability to innovate solutions and solve business problems
  • Excellent presentation and storytelling skills, including strong oral and written capabilities
  • In-market experience and knowledge of local language and culture alongside market regulations and industry trends
  • Degree (Masters or higher would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering or equivalent experience
  • Willingness to travel 30% or more

What will also help:

  • Good understanding of payments and banking
  • Experience in risk analytics is a plus
  • Experience in working closely with data science community

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.

Average salary estimate

$80000 / YEARLY (est.)
min
max
$60000K
$100000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist , Visa

At Visa, we're proud to be a leader in payments and technology, connecting the world to meet its financial needs. We're seeking a talented Data Scientist to join our vibrant team in Ho Chi Minh City, Vietnam. As a crucial member of the Visa Consulting & Analytics (VCA) division, you'll engage in exciting projects that aim to solve strategic problems for our diverse clients across the Asia Pacific region, particularly in the IPVMC markets. In this role, you’ll manage analytics projects from start to finish, turning vast amounts of data into actionable insights that drive business growth. You'll leverage tools like SQL, Python, and advanced statistical techniques to explore the realms of data, discovering innovative solutions for our clients. With a focus on collaboration, you'll work directly with clients to gather requirements, understand their needs, and articulate your findings effectively. Your efforts will not only strengthen our client relationships but also contribute to the evolution of their strategies in today's fast-paced payment landscape. If you're a results-driven individual with a passion for data and a curiosity about the payments industry, this role at Visa may be your perfect fit. Join us in uplifting everyone, everywhere, by being the best way to pay and be paid. Experience the impactful and purpose-driven culture at Visa, where your work truly matters!

Frequently Asked Questions (FAQs) for Data Scientist Role at Visa
What qualifications are required for the Data Scientist position at Visa?

To qualify for the Data Scientist position at Visa, candidates should have a minimum of 5 years of professional experience in banking, payments, or a related industry. A strong analytical background with expertise in statistical solutions is essential. Familiarity with large data sets using SQL, Hive, or Spark, along with proficiency in programming languages like Python, is also required. A Master's degree in a quantitative field such as Mathematics or Computer Science would be advantageous.

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What will a Data Scientist at Visa do in Ho Chi Minh City?

As a Data Scientist at Visa in Ho Chi Minh City, your role will include managing and delivering analytics projects that provide actionable insights for our clients. You will support project scoping, communicate your findings effectively, and implement analytics solutions that drive business impact. The position also offers the opportunity to innovate using non-traditional data and new modeling techniques tailored to client needs.

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What skills are essential for a successful Data Scientist at Visa?

Successful Data Scientists at Visa should possess strong analytical capabilities and proficiency in statistical techniques such as Neural Networks and Decision Trees. Excellent communication skills are crucial for presenting analytical findings, while a good understanding of the payments and banking landscape can greatly enhance your effectiveness. Experience with data science communities and tools such as TensorFlow or PyTorch is also favorable.

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How does the Data Scientist role contribute to Visa's Consulting and Analytics team?

The Data Scientist role is vital to Visa's Consulting & Analytics team as it empowers our clients to solve complex problems and enhance their business performance through data-driven strategies. By providing high-quality analyses and insights, the Data Scientist helps ensure Visa offers best-in-class payment expertise, ultimately driving growth and success for our clients across various markets.

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What opportunities for innovation do Data Scientists at Visa have?

Data Scientists at Visa have significant opportunities for innovation. By utilizing diverse data sources and embracing new modeling techniques, you can create solutions that are tailored to meet the unique needs of our clients. This role encourages creative thinking and out-of-the-box approaches to problem-solving, ensuring that our analytics solutions remain cutting-edge in the payments industry.

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Common Interview Questions for Data Scientist
Can you describe your experience with large data sets and which tools you have used?

Certainly! When asked about experience with large data sets, you should describe specific instances where you've successfully extracted and manipulated data. Highlight your usage of tools like SQL, Hive, or Spark, emphasizing how you leveraged these tools to support analytics projects, and the impact that data had on business solutions.

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What statistical techniques are you most proficient in, and how have you applied them?

In your response, identify a few key statistical techniques, such as Linear Regression or Random Forests, and provide examples of projects where you've applied these methods. Discuss how these techniques helped solve real business problems and led to successful outcomes.

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How do you approach project scoping and defining methodology for analytics projects?

Explain that you start by clearly understanding client needs and the business problem at hand while gathering relevant data. Detail the process of defining the methodology, including choosing appropriate data mining techniques, to ensure the project is well-structured for actionable outcomes.

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What innovative solutions have you created using non-traditional data sources?

Share specific examples where you used non-traditional data to derive insights. Discuss the creativity involved in choosing data sources and the outcomes that resulted from your innovative approaches. Demonstrating your ability to think outside the box is essential.

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How do you communicate complex data analysis to non-technical stakeholders?

It's important to convey that you prioritize clarity in your presentations. Discuss your methods for breaking down complex concepts into digestible information while using storytelling techniques that resonate with your audience. Providing examples can be beneficial here.

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Can you give an example of a challenging problem you faced and how you solved it?

When discussing a challenging problem, choose a relatable scenario from your past experience. Describe the steps you took to analyze and address the issue, the tools or techniques you used, and the final impact of your solution. This showcases both your problem-solving skills and your analytical mindset.

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What do you understand about the payments industry and its challenges?

Demonstrate your knowledge of the payments industry by discussing current trends, challenges, and consumer behavior shifts. Highlight how data science can address these challenges and enhance operational efficiency, ultimately leading to better client outcomes.

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How do you prioritize competing deadlines when managing multiple projects?

Illustrate your project management skills by discussing how you assess project urgency, set clear priorities, and communicate with stakeholders regarding timelines. Mention tools or techniques you use to stay organized and ensure that all projects receive adequate attention.

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What motivates you to work in data science?

Express your passion for data and analytics by sharing what drives you personally and professionally. Discuss the opportunity to solve real problems, influence client decisions, and create innovative solutions, which can make a direct impact in the payments landscape.

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What is your preferred programming language and why?

Indicate your preferred programming language, such as Python, and elaborate on why it suits your data science needs. Discuss specific library support, ease of use, or any previous successes you've had in using this language to efficiently deliver data-driven solutions.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 15, 2025

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