Lead Data Scientist

Visa•Bellevue, WA

7d•Hybrid

About The Position

The Visa Acceptance Platform is the foundation for creating innovative payment solutions that drive exceptional customer experience. It lets you easily leverage a broad range of pre-integrated modular services and a growing ecosystem of technology and payments partners. Because it's Visa, the platform is secure, robust, and resilient. And because it's open, it will continue evolving to support you into the future. At Visa, we believe AI technologies have the potential to radically transform commerce. We launched Visa Intelligent Commerce to enable this next era of commerce. This program provides the infrastructure and tools developers need to build trusted, agentic experiences. Make an impact with a purpose-driven industry leader. Join us today and be part of AI transformation journey at Visa. We are looking for a versatile, curious, and energetic Lead Data Scientist to join our team of passionate and dedicated engineers. We are the backbone for innovative data science and artificial intelligence developments at Visa acceptance, and we thrive on solving complex challenges on a global scale! As a Lead Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base. You will face big challenges and question the status quo, changing the way data products are developed at Visa! Come join us and see your efforts shape the digital future of payments. The focus is on defining, executing, and delivering product and technical features at scale quickly and promoting a diverse culture of cross-functional collaboration and engineering excellence. Be an idea leader and bring industry best practices to benefit the team and the wider organization. The ability to balance demanding business capabilities with building for operational excellence while meeting regulatory, security and privacy requirements. The successful candidate will be comfortable navigating the challenging dynamic payments space and leading global teams responsible for platform transformation efforts. This candidate will play a pivotal role in our continued embrace of AI, seeking new paths to revenue by improving delivery efficiency and pushing forward for new products. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Requirements

10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD

Nice To Haves

12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
Three (3) years of experience building AI / ML powered models for predictive analytics / insights
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, implementing, and maintaining ETL pipelines.
Three (3) years of Experience with data analysis, metrics building & evaluation.
Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce.

Responsibilities

Provides technical expertise and mentors others to implement extensible, maintainable, and reusable code, defines framework, principles, coding patterns, guidelines, styles, and standard methodologies, and adheres to all security 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.
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.