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**:
**Responsibilities**
- Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
- Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
- Partner with a variety of Visa teams to provide comprehensive solutions
- Find opportunities to craft products out of analyses that are suitable for multiple clients and scalable across regions

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**:

- 5+ years experience in data-based quantitative analysis or model engineering
- Bachelor’s degree in an analytical field such as data science, computer science, computer engineering, mathematics, or similar others (graduate degree is a plus)
- Experience with extracting and aggregating data from large data sets using SQL, Hive, Spark, or other tools
- Knowledge of MLOps lifecycle and working with tools such as Airflow, Containers, Git, AWS SageMaker, or other tools
- Experience in understanding and analyzing data using programming languages (Python and/or C++)
- Previous exposure to location analytics, merchant analytics, or media/web analytics is a plus, but not required

Additional Information

Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in Singapore are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

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