Sr. Product Manager, Merchant Data
- Foster City, CA, USA
Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do. CyberSource, a Visa company, has been and continues to be a pioneer within the e-Commerce Payment Management world. Our VisaNet network is capable of handling over 65,000 transaction messages per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks.
We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.
“Visa will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of Article 49 of the San Francisco Police Code.”
Primary responsibilities will include:
Leverage in-house and external merchant data to perform intensive analysis to drive product development
Design experiments and interpret the results to generate ideas for exploratory analysis to shape future merchant products and provide recommendations for actionable insights
Build predictive models to enhance merchant identification and develop proof-of-concept prototype, as required.
Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing
Identify new opportunities and uses of standardized merchant data to improve overall data usage experience
5+ years of hand-on experience with payments data and 2+ years within merchant data space
Strong background in two or more of the following areas: machine learning/AI algorithms, computations/statistical learning theory, scalable systems (e.g. Spark, Hadoop), large scale data analysis, optimization, functional analysis and deep learning.
Working knowledge of big data technology
Ability to apply Machine Learning/AI in real-world industrial settings with large scale data
- A passion for developing algorithms, solutions and delivered/deployed projects in the merchant area preferred.
Hands-on skills in reporting and visualization tools like Tableau, Microstrategy and Excel preferred
- Self-driven with the ability to work in a self-guided manner
- Superb communication and organization skills
All your information will be kept confidential according to EEO guidelines.