Global Data Science Director

  • Toronto, ON, Canada
  • Full-time

Company Description

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.

Job Description


The Global Data Science organization consists of 160+ data scientists across the globe and specializes in data insight discovery, synthesis and value creation for our clients and partners. The team has access to a rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Focus lies on building creative and highly analytical solutions that have a measurable impact on the business. By consistently pushing the boundary on innovation, our data scientists not only serve as thought leaders on all things data at Visa but also build a reputation as leaders in the industry.


We are looking for a seasoned Data Scientist leader for the Canadian market. The Director, Global Data Science will lead a local team that partners with our Visa Consulting & Analytics organization to serve Visa’s clients by improving their performance and profitability. The successful candidate, will closely collaborate with Account Executives and Consultants in identifying areas where Visa adds value with data, proposing creative solutions and leading junior data scientists in the project execution and solution development.

This position is based in Toronto.



  • 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

  • Independently guide and support projects with our consulting partners

  • Develop visualizations to make complex analyses accessible to a broad audience

  • Find opportunities to scale custom solutions and make them suitable for multiple clients

  • Be a thought leader in the team and provide mentoring and coaching to junior data scientists

  • Lead a data scientist team and work closely with consulting partners to achieve revenue goals


Can you take on the responsibilities described above? Then please apply! Independent of years of experience or educational background, successful candidates frequently have a mix of the following qualifications:

  • 8+ years experience in data-based decision-making or quantitative analysis

  • Graduate degree in an analytical field such as statistics, operations research, economics, computer science or many others

  • A self-starter and have demonstrated success in using analytics to drive innovation in business problem solving

  • Experience with extracting and aggregating data from large data sets using SQL or other tools

  • Experience in prototyping and developing machine learning models using statistical software (e.g., Python, SAS, R or others)

  • Ability to articulate data insights in succinct business terms and communicate effectively

  • Competence in Excel, PowerPoint and Tableau

  • Experience with distributed computing (Hive/Hadoop) a plus, but not required

  • Previous exposure to financial services, credit cards a plus, but not required

  • Previous people management experience a plus, but not required

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