Senior Data Scientist
3 weeks ago
Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.
When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.
**Join Visa: A Network Working for Everyone.**
**Job Description**:
**Team Summary**
Visa Consulting and 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 individual will be part of VCA Data Science geographic team cluster of Indonesia, Philippines, Vietnam, Myanmar and Cambodia (IPVMC) markets, and will be responsible for leading data science engagements with Visa s clients in Vietnam market. 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 portfolio management.
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 Senior Data Scientist, Visa Consulting & Analytics does at Visa**:
The Senior Data Scientist will be a member of the Asia Pacific Data Science team and report into the Data science lead for Vietnam. The position will be based in Visa s Vietnam office (HCMC or Hanoi).
Key responsibilities include:
- Manage and deliver analytics projects from conception to completion with actionable insights and recommendations
- Define detailed scope and 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
- Independently develop and drive storyline with a clear so what and logical flow of insights and recommended actions for clients
- Work with VisaNet, client and 3rd party data sources to create advanced data-driven solutions
- Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques fit for purpose to the needs of our clients
- Engage with external clients, and manage internal and external stakeholders
**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. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
**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, Engineering or equivalent experience
- Minimum 8 years of professional work experience in banking, payments or related industry
- 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 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
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