Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.
Job Description
As a Data Engineer – Sr Consultant for Visa Research focused on Visa Risk, you will discover, and maintain a variety of research projects in the Visa Research group. In this role, you will drive innovations by introducing technologies, methods, and solutions to deliver innovative products. You will drive innovation from ideation to implementation. The innovation will build on the machine learning, artificial intelligence, and big data research. You will research and develop seamless, fast, reliable and secure payment solutions using foundational and applied research techniques.
You will, in many cases, interact with different stake holders, 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, create development plan, execute, and implement the ideas.
You will be integral part of Visa Research and Risk teams. 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.
Key responsibilities include:
Implement the set of services needed to release AI and data science models capable of working with terabytes of data. This includes model related features like one time and ongoing automatic model training, deploying, and monitoring models, as well as platform related features such as model repository, feature stores, data access layer.
Provide support to the data science team to release Data science and AI models in production
Provide technical leadership for efforts around tooling and infrastructure that enable teams to efficiently complete and maintain data science projects Partner with teams on modeling and analysis problems—from transforming problem statements into analysis problems
Collaborate with research scientists, product owners and architects to deliver the fast-prototyping platform.
Work and partner with product delivery teams to fully implement the proof of concept and early product in Visa services and products
Present and demo the research solutions to a committee on the regular basis
Champion the innovation across the organizations and industries as an expert in the subject, either by providing consulting or by contributing to technology talks and presentations
Continue to learn about the payments and technologies in Visa and across industries
Contribute in delivery of high-quality solutions that conform to requirements and the architectural vision and comply with all applicable standards.
Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.
Make decision on complex tradeoffs/priority during the design and execution, such as tradeoff between performance and flexibility, scope and timelines, availability and scalability, etc.
Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
Be a technical leader on various projects across the platform and be a major contributor of the entire platform’s architecture.
Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable coding and security standards.
Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved.
Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner
Coach and mentor junior engineers on the team and help get them unblocked.
Troubleshoot Production Issues as needed by working closely with Product and Support Teams
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.
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. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
Preferred Qualifications
• 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
• Experience programming in at least one or more in Java, Python, Scala and Go
• Excellent understanding of algorithms and data structures
• Experience in working on large scale of distributed and hybrid system, and/or large datasets.
• Experience and/or academic background building and Supporting Scalable and reliable data solutions and 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 and/or academic background developing systems for the machine learning lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment and monitoring.
• Excellent communication (both written and verbal) skills and the ability to present complex ideas in a clear, concise way
• Fast learner in new technologies.
• You have proven experience leading teams that have delivered high quality large scale enterprise class applications.
• Familiarity with the associated open source ecosystem (e.g., mlflow, cortex, seldon, Kubeflow, tfx) is a plus.
• Publications or presentation in recognized computing journals/conferences is a plus.
• Knowledge and experience working on Single Page Applications development, RESTful services, SQL and NoSQL databases in agile environment is a plus
• Payments industry experience is a plus.
Additional Information
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 position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. 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 for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 138,500.00 to 180,000.00 USD, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.