Staff Applied Scientist II

Visa•Bellevue, WA

16h•Hybrid

About The Position

The Visa Acceptance Platform is the foundation for creating innovative payment solutions that drive exceptional customer experience, leveraging a broad range of pre-integrated modular services and a growing ecosystem of technology and payments partners. Visa believes AI technologies have the potential to radically transform commerce, and the Visa Intelligent Commerce program provides the infrastructure and tools for developers to build trusted, agentic experiences. This role is for a versatile, curious, and energetic Staff Applied Scientist II to join a team of passionate data scientists and engineers, forming the backbone for innovative data science and artificial intelligence developments at Visa acceptance. The position involves solving complex challenges on a global scale, inventing, designing, building, and testing products for a global customer base, and changing the way data products are developed at Visa. The focus is on defining, executing, and delivering product and technical features at scale quickly, promoting cross-functional collaboration and engineering excellence. The role requires an idea leader who brings industry best practices, balances demanding business capabilities with operational excellence, and meets regulatory, security, and privacy requirements. The ability to quickly grasp and evaluate new ideas and technologies, lead/influence multiple teams, and build a culture of innovation and excellence is crucial. This role will transform digital offerings by leveraging AI to enhance current product lines and develop new products for banking, fintech, and integration partners, enabling the next wave of innovation in payments. A strong technology leader with expertise in data science, agile delivery, building purpose-driven teams, and a background in complex integration projects is sought. Prior experience in payments or building high-volume transaction and data processing systems is preferred.

Requirements

8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
Four (4) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS)
Two (2) years of experience designing, building/fine tuning ML/AI models around data insights, anomaly detection e.t.c
Two (2) years of experience in designing, building, evaluating metrics for model performance and business outcome
Three (3) years of experience building and pushing code into production.
Expert in at least one of the following: Python, R, Java

Nice To Haves

9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
Prior experience in payments, or a background in building high volume transaction and data processing systems

Responsibilities

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.
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.
Ensures adherence to data management principles, governance, process, and tools to maintain data quality across products.
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.
Defines technical standards for the design and documents the architecture for a complex product, using existing architecture design patterns.
Oversees and establishes unit testing requirements of unit testing to confirm functional capability of code, acts as subject matter expert in testing for coding standards and security scans, strategically leads user acceptance testing in collaboration with customer across multiple domains.
Identifies complex trends across relevant data sources and uses insights to plan platform-wide future solution updates.
Identifies opportunities and defines roadmap for software upgrades and server patches for security remediation where applicable.