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Sr Data Scientist, Visa Consulting

1 month ago

Ho Chi Minh City, Vietnam Visa Full time

Company Description

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

**You're** an Individual. **We're** the team for you. **Together**, let's transform the way the world pays.

**Job Description**:
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 and tangible financial results. The incumbent will be part of VCA Data Science geographic team cluster of Indonesia, Philippines, Vietnam, Myanmar and Cambodia (IPVMC) markets, and will be responsible for Data Science backed consulting engagements with Visa's clients in Vietnam. The team is involved in a comprehensive range of consulting services and solutions to our clients, that address unique challenges in areas such as strategic growth, profitability, risk management, digital strategy and data-driven portfolio management decisions.

If you like to use fact-based, data-driven solutions to solve for business problems that deliver value and enable Vietnam clients to win more business, you should apply.

**What a Sr Data Scientist does at Visa**:
The Sr Data Scientist is a key member of the Visa Analytics and Consulting (VCA) team. As a Sr Data Scientist for Vietnam, you will be supporting the design, development and implementation of analytics driven strategies and solutions for key Visa clients. You will collaborate with our VCA, Business, and Technology teams across the organization to implement solutions to drive business performance.

In this role, you are expected to:

- Define detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
- Support and deliver analytics projects from conception to completion with actionable insights and recommendations
- Clearly communicate the findings and recommendations, drive deployment and implementation of analytics solutions, and track business value impact
- Research industry metrics and business context and bring this context to bear in analyses
- Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques fit for purpose to the needs of our clients
- Ensure all project documentation is up to date and maintain the highest levels of quality in deliverables
- Perform as an independent contributor mostly, with high engagement with consultants and other data science team members to deliver projects
- Enhance existing analytic techniques by promoting new methodology and best practices in analytics field
- High interaction with external clients, and manage internal and external stakeholders
- On a per-project basis, work on client site as required

This role reports to the Head of Data Science for the Vietnam Country team and this position will be based in our Ho Chi Minh City Visa office.

**Why this is important to Visa**

As a payment consulting arm of Visa, VCA is growing a team of highly specialized experts that can provide best in class payment expertise to the client. We want to bring this expertise closer to our clients by placing the Sr Data Scientist in-market in Vietnam. We are a global organization leveraging global expertise and best practice with local knowledge and understanding of our client partners. This enables us to deepen our partnership with our clients and bring value to their business.

**Qualifications**:
**What you will need**:

- Degree (Masters or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
- Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive, and a working knowledge of Hadoop ecosystem
- Proficiency in some of the following 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 experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
- Demonstrated ability to innovate solutions to solve business problems
- Strong internal team and external client stakeholder management with a collaborative, diploma