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Data Scientist

VISA

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VISA

Data Scientist

Onsite Toronto, Canada Full Time
Posted 4 hours ago
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Watch this video to learn more about VISA

Job Details

Job Description

Essential Functions

  • 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

  • Build and experiment with machine learning and generative AI models by applying a variety of statistical and computational techniques
  • Apply AI-enabled tools to streamline everyday work, including data exploration and model development
  • Extract and understand data to form an opinion on how to best help our clients and derive relevant insights

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

  • Find opportunities to craft products out of analyses that are suitable for multiple clients

  • Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.

  • Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients

  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.

  • Develop custom data models and algorithms to apply to data sets.

  • Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.

  • Develop processes and tools to monitor and analyze model performance and data accuracy.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.


Qualifications

Basic Qualifications

  • 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)


Preferred Qualifications

  • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • 2+ years’ experience in data-based decision-making or quantitative analysis
  • Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science or many others (graduate degree is a plus)
  • Experience with extracting and aggregating data from large data sets using SQL or other tools
  • Competence in Excel, PowerPoint and Tableau
  • Experience in machine learning model development and deployment 
  • Experience in understanding and analyzing data using statistical software (e.g., Python, R, Stata or others)
  • Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required

Additional Information

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.

Visa is looking to fill vacant position Data Scientist The anticipated compensation range for this position is $98,700 CAD to $139,600 CAD per year, which includes sales incentive payments/annual bonus. Visa has a comprehensive benefits package for which this position is eligible that includes Medical, Dental, Vision, Employee Stock Purchase Program, Life Insurance, Paid Vacation and Wellness Programs.  Visa may use artificial intelligence when assessing and selecting candidates.


Company Details
VISA
 Foster City, CA, United States
Work at VISA

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... Read more

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