Data Scientist
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
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
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.
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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.
Perks and Benefits
Health and Wellness
- Long-Term Disability
- HSA With Employer Contribution
- On-Site Gym
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Health Reimbursement Account
- Mental Health Benefits
- Virtual Fitness Classes
- HSA
Parental Benefits
- Fertility Benefits
- Family Support Resources
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Company Outings
- On-Site Cafeteria
- Holiday Events
- Happy Hours
- Casual Dress
Vacation and Time Off
- Paid Holidays
- Paid Vacation
- Volunteer Time Off
- Summer Fridays
- Leave of Absence
- Personal/Sick Days
Financial and Retirement
- 401(K)
- Relocation Assistance
- Performance Bonus
- Stock Purchase Program
- Company Equity
- 401(K) With Company Matching
- Financial Counseling
Professional Development
- Shadowing Opportunities
- Access to Online Courses
- Promote From Within
- Learning and Development Stipend
- Tuition Reimbursement
- Mentor Program
- Leadership Training Program
- Associate or Rotational Training Program
- Lunch and Learns
- Internship Program
- Professional Coaching
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)