Data Scientist

Visa•Foster City, CA

2h•Hybrid

About The Position

To ensure that Visa’s 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 Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business. The role is based in Foster City, CA.

Requirements

2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
MS or PhD in Computer Science, Statistics, Econometrics, Operations Research, or a related quantitative discipline
2+ years of relevant industry experience in Data Science, Applied Machine Learning, or Advanced Analytics
Advanced proficiency in Python and SQL, with hands‑on experience leveraging big‑data technologies for large‑scale data processing
Experience using BI and data‑visualization tools (e.g., Tableau, Power BI, Looker) to build dashboards, conduct exploratory analysis, and communicate insights to business stakeholders
Deep experience designing, building, and optimizing large‑scale data pipelines, including ingestion, transformation, aggregation, feature engineering, and performance tuning with cost optimization in Hive and Spark, as well as developing reusable analytical tools used across teams
Hands‑on experience building, validating, and deploying machine‑learning models at scale (e.g., risk, fraud, authorization, customer behavior, or network analytics)
Knowledge of causal inference and experimentation, including A/B testing, Difference‑in‑Differences, and uplift modeling
Strong communication and stakeholder management skills, translating complex analytical results into clear, actionable insights and influencing senior leaders across business teams

Nice To Haves

3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

Responsibilities

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
Find opportunities to craft products out of analyses that are suitable for multiple clients
Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.