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Data Scientist

2 weeks ago

Singapore Visa Full time

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 supporting data science engagements with Visa s clients. The team is involved in a comprehensive range of consulting services and data-driven solutions to our clients, that address unique challenges in areas such as strategic growth, profitability, risk management, digital strategy and portfolio management.

**What a Data Scientist, Visa Consulting & Analytics does at Visa**:
The Data Scientist will be a member of VCA Data Science team in Asia Pacific and report to Senior Manager/Director in the IPVMC cluster. This position will be based in Visa s Singapore office.

The individual will be supporting the development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in prior experience in data science, modeling and data-driven insights to solve complex problems and unlock business value.

Key responsibilities include:

- Support and deliver data science engagements for IPVMC clients
- Execute on solution frameworks leveraging appropriate tools and techniques
- Clearly communicate findings and recommendations, data-driven insights to clients and stakeholders
- Ensure consistency, standards & quality control of data science work, with coding and project documentation up to date
- Seek out opportunities to innovate by using Visa s data, client s data and non-traditional data fit for purpose to the needs of our clients
- Enhance existing data science techniques by promoting new methodologies and best practices in the field
- If required on a per-project basis, work onsite for a short duration

**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 re 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:

- Bachelor s Degree (Masters would be an advantage) in quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
- Minimum 5 years of experience in data-based quantitative analysis and predictive modeling
- 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 analysis, etc
- Demonstrated ability on data science innovation, newer ways/techniques of solving business problems with data
- Self-motivated individual with the ability to progress on multiple priorities concurre