Sr. Data Scientist (Advance SQL & Python + Spark + ML (overall workflow) + Power BI/Tableau)
Company Description
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.
Progress starts with you.
Job Description
Visa cards play a crucial role in allowing our commercial solutions partners to pay and be paid. From large enterprises to small businesses, companies depend on Visa to allow their employees ease of operation in the digital payments ecosystem and to provide them with services that can help them gain valuable insights into their customers spending as well as their own spending. The Global Data Science group supports these commercial partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 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. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are hiring Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to solve meaningful business problems.
Essential Functions
Brainstorm innovative ways to use our unique data to answer business problems
Use LLM-based systems for natural language processing, data quality evaluation, and performance evaluation
Connect 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 sophisticated analyses accessible to a broad audience
Identify and create key metrics and dashboards to track program success
Find opportunities to craft products out of analyses that are suitable for multiple clients
Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
Work collaboratively with Data Scientists, Data Engineers and other cross-functional partners to tailor analyses and solutions to the needs of the business
Assess the efficiency 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, and other business outcomes
Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
- 6-8 years of work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Master’s, MBA, JD, MD) or 0 years of work experience with a PhD degree
Preferred Qualifications
- 6-8 years of work experience with a Bachelor’s Degree or 4-6 years of work experience with an Advanced Degree (e.g. Master’s, MBA, JD, MD) or 3 years of experience with a PhD
- 4+ years’ experience in data-based decision-making or quantitative analysis
- Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field
- Extracting and aggregating data from large data sets using SQL/Hive or Spark
- Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark
- Generating and visualizing data-based insights in software such as Tableau
- Advanced knowledge and experience of AI/ML model development and implementation
- Experienced with building AI/ML model pipelines and creating robust and scalable AI/ML solutions.
- Experience working with LLMs in a production environment
- Track record of creating robust and scalable AI/ML/Data Science solutions and products
Additional Information
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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.
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)