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Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities.
As a Staff Data Engineer for the Risk and Identity (RaIS) technology organization, you will discover, and maintain a variety of Applied AI research projects for Visa Protect A2A. In this role, you will drive innovations by introducing technologies, methods, and solutions to deliver innovative products. You will drive innovation from conceptualization to implementation. The innovation will build on machine learning, artificial intelligence, and big data research. You will research and develop flawless, fast, reliable, and secure payment solutions using foundational and applied research techniques.
You will engage with different collaborators, senior executives, research scientists, software engineers and architects, as well as external parties like technology vendors, wallet providers, merchants, issuers and senior product regional managers. You will discover and propose research and development opportunities, build development plan, create, and implement the ideas.
Our team is focusing on building a new product suite for Visa’s real time payments options! This will have a fraud-management focus and be scaled across many markets at Visa. This suite will also bring ‘real-time fraud monitoring’ into play using the latest in Machine Learning & Deep Learning technologies. We are seeking Data Engineers that come from a wide array of backgrounds with the curiosity about creating something new and exciting for Visa.
You will have the opportunity and the responsibility to build the long-term vision for the payment industry and influence the direction of the research and development across Visa.
Essential Functions
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Basic Qualifications:
• 7+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
Preferred Qualifications:
• 7 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• Experience programming in at least one or more in Java, Python, Scala and Go
• Strong understanding of algorithms and data structures.
• Experience in leading, building and supporting scalable and reliable data solutions, AI/machine learning powered systems that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop, Spark, Cloud, No-SQL, TensorFlow, H2O etc.) in an agile manner.
• Hands-on experience developing and maintaining machine learning lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment and monitoring.
• Hands-on experience and/or academic background partnering with data scientists and can speak knowledgeably about the major machine learning paradigms, algorithms, and software tools.
• Hands-on experience and/or academic background translating data science problem statements into corresponding data, infrastructure, or workflow needs.
• Familiarity with the associated open-source ecosystem (e.g., mlflow, cortex, seldon, Kubeflow, tfx) is a plus.
• Knowledge and experience working with Frond-end web application frameworks (Angular/React) along with HTML, CSS, JavaScript is a plus.
• Knowledge and experience working with REST/JSON-RPC services, SQL, and NoSQL database is a plus.
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