Job description
Company Description
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you’ll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.
Progress starts with you.
Job Description
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.
Essential Functions
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
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
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
Preferred Qualifications
- Minimum of 12 years of analytical experience in applying solutions to business problems
- 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
- Hands on experience with one or more data analytics/programming tools such as Hive/R/SQL/Python
- Prior experience in payments or financial services industry preferred
- Experience in the application of predictive modeling and machine learning techniques
- 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. Experience in payment, retail banking, or retail merchant industries is preferred
- Understanding of Cards/Payments and Banking business model would be a plus
- 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
Additional Information
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 200,000.00 to 290,000.00 USD per year. Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
