CTC Undisclosed Job Location United States of America (USA) Experience 5 - 8 yrs
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 and Responsibilities
To ensure that Visas payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visas rich data to tackle meaningful business problems. You will join one of the Data Science teams with a core focus on developing scalable Machine Learning and A.I. based applications for clients across the Asia Pacific region.
Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
Communicate with clients to understand the challenges they face and convince them with data
Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
Develop visualizations to make your complex analyses accessible to a broad audience
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
5 years experience in data-based decision-making or quantitative analysis
Bachelors degree in an analytical field such as statistics, operations research, econometrics, computer science or similar others (graduate degree is a plus)
Experience with applying standard statistical and machine learning techniques: clustering, dimensionality reduction, variable selection, cross validation, random forest, gradient boosting, linear & logistic regression
Experience with extracting and aggregating data from large data sets using SQL, Hive, Spark or other tools
Competence in Linux/Unix based tools: Command Line, Shell Script, Job Scheduling
Experience in understanding and analyzing data using statistical programming languages (Python or R)
Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
Previous experience with Deep Learning toolkits (Tensorflow, Keras, PyTorch) is a plus, but not requiredRead more