Data Scientist- Sr. Consultant level

Job Description 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 is Visa, the platform is secure, robust, and resilient. And because it is open, it will continue evolving to support your future. At Visa, we believe AI technologies have the power to radically transform commerce. We launched Visa Intelligent Commerce to enable the 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 the AI transformation journey at Visa. Responsibilities You will face big challenges and question the status quo, 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 a diverse culture of cross‑functional collaboration and engineering excellence. You will be an idea leader and bring industry best practices to benefit the team and the wider organization. You will balance demanding business capabilities with building for operational excellence while meeting regulatory, security and privacy requirements. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, leading and influencing multiple teams and matching them with appropriate technology and business problems while building a culture of innovation. You will transform our digital offerings by leveraging AI to enhance our current product line and develop exciting new products targeting our banking, fintech and integration partners, enabling the next wave of innovation in payments. Essential Functions 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 the 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, acting as subject matter expert in testing for coding standards and security scans, and strategically leads user acceptance testing in collaboration with customers 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. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g., Master’s, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications (Basic): 9 or more years of relevant work experience with a Bachelor’s Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Master’s, MBA, JD, MD) or 3 or more years of experience with a PhD. Preferred Qualifications (Technical): Four (4) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS). Preferred Qualifications (ML/AI Experience): Two (2) years of experience designing, building and fine‑tuning ML/AI models around data insights and anomaly detection. Preferred Qualifications (Model Evaluation): Two (2) years of experience designing, building, and evaluating metrics for model performance and business outcome. Preferred Qualifications (Production Experience): Three (3) years of experience building and pushing code into production. Preferred Qualifications (Programming Languages): Expert in at least one of the following: Python, R, Java. Preferred Qualifications (Big Data): Experience with Big Data and Analytics in general, leveraging technologies like Hadoop, Spark, Flink and MapReduce. Salary and Benefits The estimated salary range for this position is $162,500.00 to $260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors including knowledge, skills, experience, and location. This position may be eligible for bonus and equity. Visa offers a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5–10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The incumbent will sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Hybrid Work This is a hybrid position. Visa requires at least 3 days in office; the specific days will be confirmed by your hiring manager. EEO Statement 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 qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law. #J-18808-Ljbffr Visa