Director, Data Science @ Visa

• Manage and deliver analytics benchmarking reports from conception to completion with actionable insights and recommendations.
• High interaction with external clients and manage internal and external stakeholders.
• Define detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
• Work with the broader Visa data science team to create data driven solutions.
• Focus on building data science visualization capabilities to solve client’s problems.
• Drive innovation through using data science techniques
• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
• Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets

Degree (masters would be an advantage) in quantitative field such as statistics, mathematics, operational research, computer science, economics, or engineering or equivalent.
10+ years of experience in performing data exploration, feature engineering and data visualization.
Proficiency with data visualization experience with Python, Hadoop, Hive, Impala or similar instruments Practical experience in building and applying machine learning models (regression, clustering, classification gradient boosting, random forests, linear models, deep learning etc.) understanding in how these algorithms work and end-to-end development skills from business understanding and data preparation to delivery.