Masters, MBA, JD, MD) • 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. 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.