Job Description Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk and economics consulting, with decades of experience in the payments industry.
Our VCA teams offer: Consulting services customized to the needs of Visa client business objectives and strategy Business and economic insights and perspectives that impact business and investment decisions Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations Proven data-driven marketing strategies to increase clients ROI The Machine Learning Operations (MLOps) team under Visa Consulting & Analytics – Data Science is a multidisciplinary group responsible for designing robust data infrastructures, developing innovative machine learning solutions, enforcing data governance standards, and aligning machine learning projects with business objectives to drive business value and revenue generation in Latin America and the Caribbean region.
The ideal candidate for the Machine Learning Solutions within MLOps is a talented professional capable of developing state-of-the-art data solutions and enhancing existing ones to address complex business problems.
Responsibilities Develop and grow exceptional internal client relationships to define priorities and set the solutions development strategy to be followed.
Utilize Visanet Data and Visa's analytical capabilities, technology, and industry expertise to develop, standardize, and deploy scalable solutions.
Lead quality assurance (QA) activities from design to implementation.
Manage large volumes of data: extract, analyze, and manipulate large datasets using standard tools such as Hadoop Ecosystem, PySpark, SAS, Presto, SQL, etc.
Design, develop, and maintain complex Tableau Dashboards for scalability, extensibility, performance, and re-use.
Work with business partners to design, deliver, and maintain subscription reports using Tableau.
Data Cleansing/Wrangling – This involves parsing and aggregating messy, incomplete, and unstructured data sources to produce datasets that can be used in predictive modeling or in dashboards development.
Develop and validate advanced data mining tools, algorithms, and other capabilities to solve business problems related to one or more countries in Latin America.
Identify relevant market trends based on a deep analysis of payment industry information.
Leverage Generative AI Tools to increase the team's efficiency and the knowledge sharing across the different structures.
Continuously develop and present innovative ideas to improve current business practices within Visa.
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 5+ years of relevant work experience and a Bachelor's degree, OR 8+ years of relevant work experience.
Preferred Qualifications 6 or more years of work experience with a Bachelor's 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.
Post-graduate degree in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering (Master or PhD preferred).
Deep understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded products.
Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems.
Experience in presenting ideas and analysis to stakeholders, tailoring data-driven results to various audience levels.
Proven ability to deliver results within committed scope, timeline, and budget.
Fluency in English and Spanish (spoken/written) – Portuguese is a plus.
Technical Expertise Proven hands-on expertise in distributed computing environments/big data platforms (Hadoop, Presto, PySpark, etc.)
as well as common database/data warehouse systems (SQL, Hive, etc.).
Strong programming ability in different programming languages such as Python, R, Scala, Java, and SQL.
Proven experience in developing and working Tableau driven dashboards, analytics.
Ability to query and display large data sets while maximizing the performance of Tableau Workbooks.
Ability to interpret dashboard structure in Tableau and translate complex business requirements to technical specifications for future solution releases.
Proven hands-on experience with both common computing environments (e.g., Linux, Shell Scripting) and commonly used IDEs (Jupyter Notebooks).
Leadership Competencies Demonstrates integrity, maturity, and a constructive approach to business challenges.
Serves as a role model for the organization by implementing core Visa Values.
Shows respect for individuals at all levels in the workplace.
Strives for excellence and extraordinary results.
Uses sound insights and judgments to make informed decisions in line with business strategy and needs.
Able to allocate tasks and resources across multiple lines of businesses and geographies.
Able to influence senior management both within and outside Data Science.
Successfully persuading internal stakeholders to commit to best-in-class solutions, when required.
Additional Information 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.
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