Data Scientist- Sr. Consultant Level

Visa Visa · Fintech · Bellevue, WA

Senior Data Scientist to join the Visa Acceptance Platform team, focusing on leveraging AI to enhance existing products and develop new ones for banking, fintech, and integration partners. The role involves defining, building, and testing AI-driven payment solutions, mentoring others, ensuring data quality and governance, and advising on technical specifications and architecture. Requires expertise in data science, agile delivery, and experience with complex integration projects, preferably in payments or high-volume transaction systems.

What you'd actually do

  1. Provides technical expertise and mentors others to implement extensible, maintainable, and reusable data models and strategies and adheres to all security and privacy requirements for the application of artificial intelligence and data science.
  2. Develops strategies for and leads team's efforts to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling, complex data modeling, and artificial intelligence.
  3. Ensures adherence to data management principles, governance, process, and tools to maintain data quality across products.
  4. Advises on technical specifications during discussions with collaborators (e.g., Product owners, business partners, Cybersecurity) to identify and clarify sophisticated technical or business requirements and identify business needs and upstream and/or downstream system/application dependencies.
  5. Defines technical standards for the design and documents the architecture for a complex product, using existing architecture design patterns.

Skills

Required

  • data wrangling
  • complex data modeling
  • artificial intelligence
  • data management principles
  • governance
  • technical specifications
  • architecture design
  • unit testing
  • user acceptance testing
  • data extraction
  • data quality
  • security and privacy requirements

Nice to have

  • payments
  • building high volume transaction and data processing systems
  • Hadoop
  • Hive
  • Kafka
  • Redis
  • NoSQL
  • RDBMS
  • ML/AI models
  • anomaly detection

What the JD emphasized

  • balancing demanding business capabilities with building for operational excellence while meeting regulatory, security and privacy requirements
  • building high volume transaction and data processing systems

Other signals

  • AI transformation journey
  • transform our digital offerings by leveraging AI
  • develop exciting new products targeting our banking, fintech and integration partners