Data Science Manager at Visa

About Us
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

Responsibilities:

• Serve as an analytics expert in designing, developing and implementing best in analytic solutions
• Create and deliver powerful insights from data through better visualization and storyboarding
• Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
• Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team
• Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
• Execute on the analytics plan with appropriate data mining and analytical techniques
• Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
• Ensure all project documentation is up to date and all projects are reviewed per analytics plan
• Ensure project delivery within timelines and budget requirements
• Build on team’s analytical skills and business knowledge
• Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field
• Provide subject matter expertise and quality assurance of complex data-driven analytic projects

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

Qualifications

Minimum of 5-7 years of analytics expertise in applying statistical solutions to business problems

Experience working in one or more of the Card Payments markets around the globe

Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent

Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant

Good knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies

Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams
Building ML models, Advanced Analytics, Python, Pyspark,

Demonstrated ability to incorporate new techniques to solve business problems

Demonstrated resource planning and delivery skills

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.