Senior Manager, Data Science

Company Description Visa is a global leader in digital payments, facilitating over 215 billion payment transactions annually between consumers, merchants, financial institutions, and government entities in over 200 countries and territories. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, thereby enabling individuals, businesses, and economies to thrive. When you join Visa, you become part of a culture driven by purpose and belonging, where your growth is prioritized, your identity is celebrated, and the work you do makes a difference. We believe that inclusive economies benefit everyone, everywhere. Your work will significantly impact billions of people worldwide, helping to provide financial access that facilitates the future of monetary transactions. Join Visa: A Network Working for Everyone. Job Description What a Sr. Data Scientist (Sr Manager) does at Visa: As a Senior Manager in Data Science, within the Global Data Solution team, you'll play a pivotal role in guiding the development and implementation of data-driven solutions. The role will be based at Visa’s Singapore office. The candidate will support the APAC Marketing function by transforming analytical insights into captivating narratives for our clients and stakeholders while providing valuable data-driven insights to drive business growth. Duties include cross-functional partnerships, influencing business and marketing decisions through data analysis, optimizing various business levers, advocating for data science within our partnerships, seeking innovative opportunities using VisaNet, and leading the development of data driven business insights. Why this is important to Visa: This is a high-impact role that contributes to Visa’s growth and marketing efficacy. The role necessitates working on a variety of problem statements in marketing campaign impact measurement, campaign optimization, partnership assessment, understanding payment mechanisms, and new initiatives. Projects you will be a part of: Responsibilities range from analyzing co-marketing campaign performances, collaborating on end-to-end analytical projects, leveraging existing data management processes, applying historical data learnings to optimize marketing and media plans, and participating in marketing budget planning, to presenting analytical insights, exploring customized methodologies to address business queries, generating automated data reports, and providing data training. Qualifications What you will need: A Master's degree or PhD in Computer Science, Mathematics, Statistics, Engineering, Business Analytics, or related fields. A minimum of 8 to 10 years of experience with at least 8 years in a data scientist or analytics consultant role is preferred. Experience in marketing analytics, machine learning model development, data solution scaling, big data aggregation using Hive, Spark, SQL, R or Python, and visualization and reporting tools is necessary. Exceptional problem-solving skills are essential.