Director, Data Science - Visa Commercial Solutions

Visa•Foster City, CA

1d•Hybrid

About The Position

Visa cards play a crucial role in allowing our commercial solutions partners to pay and be paid. From large enterprises to small businesses, companies depend on Visa to allow their employees ease of operation in the digital payments ecosystem and to provide them with services that can help them gain valuable insights into their customers spending as well as their own spending. The Global Data Science group supports these commercial partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects 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 hiring a data science director to help grow our data science team supporting our commercial solutions business. This is an individual contributor (IC) position.

Requirements

10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
Minimum of 12 years of analytical experience in applying solutions to business problems
Hands on experience with one or more data analytics/programming tools such as Hive/R/SQL/Python
Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
Demonstrated ability to innovate solutions to solve business problems
Results-oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
Good business acumen with strong ability to solve business problems through data driven quantitative methodologies.
Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
Detail oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
Proven skills in translating analytics output to actionable recommendations, and delivery
Experience in presenting ideas and analysis to stakeholders
Exhibit intellectual curiosity and strive to continually learn
Experience with managing project teams and providing direction and thought leadership

Nice To Haves

Post Graduate degree in a Quantitative field
History of using and deploying LLMs in a production-environment
Ability to size, scope, and evaluate usage of LLMs to enable high-efficiency deployments while managing costs
Prior experience in payments or financial services industry preferred
Experience in the application of predictive modeling and machine learning techniques
Experience in payment, retail banking, or retail merchant industries is preferred
Understanding of Cards/Payments and Banking business model would be a plus

Responsibilities

Identify and help to implement product improvements related to enhancing, cleaning, and evaluating data quality
Drive value from Visa’s unique global data assets to answer critical questions within our Visa Commercial Solutions Team
Share learning and leverage best practices across groups
Develop Metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions
Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions
Design and develop AI, ML, and LLM-based solutions to be applied to solve our stakeholder’s business problems
Scope and size opportunities to drive future business enhancements
Monitor program effectiveness to ensure value quantification of efforts
Draw data-driven insights and make actionable recommendations that reflect the specific business and context
Utilize Hadoop, and related query engines such as Hive, Python, Spark to perform advanced data mining
Apply statistical solutions to business problems, to develop high-level deliverables and communicate data and technical concepts to a business audience
Define detailed analytic scope and methodology, and create analytic plans
Execute on the analytic plans with appropriate data mining and analytic techniques
Present analytics, insights and recommendations to a non-technical audience
Provide mentorship in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques