VMS Senior Data Scientist
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
What a Senior Data Scientist does at Visa:
- Executing multiple medium to large analytic projects along with rest of the stakeholders in analytics & consulting teams
- Establishing best practices for change management, model automation and production rollout
- Familiarity with batch processing and process monitoring for model refresh
- Meeting with clients to explain model results, answer questions and propose further analysis
- Collaborating closely with clients to analyze clients’ data, extract insights, and create dashboards
- Actively seek out opportunities to improve processes and technologies
- Collaborating with the internal teams to fully understand business requirements and desired business outcomes
- Defining detailed analytic scope and methodology, and creating an analytic plan
- Executing with appropriate statistical and machine learning techniques
- Providing thought leadership in both using data to solve business problems and arriving at innovative technology and statistical solutions
- Ensuring project delivery within timelines and budget requirements
- Work as independent contributor mostly and as a team lead if needed by providing guidance to other team members when required
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This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
5 years of analytical experience in applying statistical solutions to business problems
Graduate degree (Masters or Ph.D.) in computer science, or a quantitative field such as physics, statistics or mathematics, or equivalent experience
Proficiency in processing large data sets using Hive and related tools
Fluency in multiple technologies and languages (Java/C/C++/Python/R/SQL), with experience in at least one compiled language
Experience with a wide cross section of machine learning techniques : clustering, dimensionality reduction, variable selection, cross validation, neural networks, gradient boosting, linear & logistic regression
Unix/Linux proficiency : command line tools, shell scripting
Experience in collaborating with business functions at least internally or externally
Native level Japanese and business level English proficiency ( or vice versa )
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.
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)