Senior Data Scientist, New College Grad – 2025

Posted 14 Hours Ago
Be an Early Applicant
Toronto, ON
Senior level
Fintech • Information Technology • Payments
Join a world leader in payments and technology!
The Role
The Senior Data Scientist will innovate and optimize customer experiences and revenue generation using predictive models. Responsibilities include providing technical leadership, running projects, engaging with clients, crafting products from analyses, and mentoring in analytic techniques. This role also involves synthesizing ideas and recommendations to drive impactful business solutions based on Visa's extensive data sets.
Summary Generated by Built In

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

 The Global Data Science group supports our bank and merchant partners by using our extraordinarily rich data sets that span more than 4 billion cards globally and captures more than 190 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. To support our rapidly growing group, we are looking for Data Scientists who are passionate about the opportunity to use Visa’s rich data to address and deliver significant results to complex problems!

Essential Functions: 

  • Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes 
  • Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients 
  • Be an out-of-the-box problem solver who is passionate about applying data science techniques and innovate thinking to our unique data to help our clients both innovate and solve the problems they face 
  • Running projects from scoping to delivery, and engaging with internal/external partners 
  • Connect with clients to understand the challenges they face and convince them with data 
  • Find opportunities to craft products out of analyses that are suitable for multiple clients 
  • Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions 
  • Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners 
  • Provide mentorship in modern analytic techniques and business applications 
  • Prioritize and lead multiple data science projects with diverse multi-functional partners 

 Visa welcomes and encourages applications from persons with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Qualifications

Basic Qualifications 

  • 4 years relevant work experience with a masters degree in an analytical field such as statistics, operations research, economics, computer science, or a related field, graduating January 2024 - August 2025

Preferred Qualifications 

  • Analyzing large data sets using programming languages such as Python, R, SQL, Hive and/or Spark 
  • Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, or others 
  • Presenting evidence-based insights and conveying relevant recommendations 
  • Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required 

Additional Information

Work Authorization: Permanent work authorization to work in the Canada is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. 

This is a hybrid position: Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. 

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. 

Visa welcomes and encourages applications from persons with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Top Skills

Python
R
SQL
The Company
HQ: San Francisco, CA
26,500 Employees
On-site Workplace
Year Founded: 1958

What We Do

At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.

We are looking for people like YOU. Come join a people-centric company where you can invest in your career.

For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.

Why Work With Us

Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.

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