Director, Data Science - Visa Consulting and Analytics – India & South Asia
- Mumbai, Maharashtra, India
As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers. You're an Individual. We're the team for you. Together, let's transform the way the world pays.
Visa Consulting and Analytics (VCA) is Visa's consulting and data science division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability.
The VCA India and South Asia team sits within the VCA Asia Pacific regional team and provides a comprehensive range of consulting and analytics solutions that address unique challenges across four key practice areas: strategic growth, profit improvement, risk management and digital strategy.
Visa connects the world through the most innovative, reliable and secure digital payment network, and is well positioned to lead the digital transformation of the payments industry, enabling individuals, businesses, and economies to thrive. Visa's Consulting and Data Science team is a high-performing team of data scientists and consultants helping major organizations adapt and evolve to meet the changes taking place in technology, payments, and commerce; with cutting-edge, creative and advanced analytical solutions.
At Visa, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Visa's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor, statistical methods and predictive modeling techniques, you mine through data to identify opportunities for Visa and our clients to operate more efficiently and profitably.
In this role, you will report to the Head of Data Science- India and South Asia, working with an amazing team of experts driving business transformation with advanced data solutions with a strong focus on India and South Asia.
As a Data Science Director for India and South Asia, you will work with leaders across the region to drive a team of analysts to analyze and interpret data, develop metrics to measure results, design and build predictive models to guide business operations and integrate new methodologies into existing systems.
You will work on monetizing Visa’s rich data and products with our partners on all fronts – Issuers, Acquirers and Merchants.
You will work with senior colleagues across the organization - Product Managers, Business Development, and Marketing to put data at the core of Visa's value proposition and driving innovation.
End to end delivery of data science projects for India and South Asia for issuers, acquirers and merchants
Part ownership of revenue targets for Visa Consulting and Analytics for India and South Asia
Drive data engineering and technology efforts for Visa Consulting and Data Science, responsible for architecting and delivering data assets and technology solutions that enhance the effectiveness of Data Science.
Develop comprehensive understanding of data structures and metrics, advocating for changes where needed for both product development and sales activity
Provide thought leadership in both using data to solve business problems and arriving at innovative statistical solutions
Interact cross-functionally with a wide variety of people and teams. Work closely with global peers to identify opportunities for, design, and assess improvements to Visa’s products
Interact with Issuers, Acquirers and Merchants to understand their business problems, propose solutions using data driven analysis, collaborate closely and deliver the solutions as per agreed scope.
Make effective presentations of findings at multiple levels of stakeholders (e.g. cost-benefit, forecasting, and experiment analysis) with business recommendations using quantitative information
Research and develop analysis, forecasting, and optimization methods to improve the quality of Visa's products
Apply advanced analytic skills to analyze VisaNet’s transaction data through building descriptive / predictive models, generating business insights and providing recommendations to drive business results
Continually challenge our assumptions and innovate on new sources of data, tools, talent and potential partners to identify growth opportunities for Visa and our clients
Undergraduate and Postgraduate degrees in a quantitative discipline (e.g. statistics, applied mathematics, engineering, economics, operations research or similar, as well as MBA) or equivalent practical experience.
Minimum 12 years of relevant work experience (i.e., data scientist role), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, AI, Deep Learning, Machine Learning algorithms
Experience with statistical software (R, SAS or similar).
Experience with databases and scripting languages (such as Hadoop and Python).
Ability to draw conclusions from data and recommend actions.
Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.
Client facing experience with strong communication skills