Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

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 offers,

• 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 Data Science LAC 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 VCA LAC.

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 to set the solutions development strategy to be followed.

• Leverage Visanet Data and Visa’s analytical capabilities, technology, and industry expertise to develop, standardize and deploy Machine Learning 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.

• Data Cleansing/Wrangling – This involve parsing and aggregating messy, incomplete, and unstructured data sources to produce data sets that can be used in predictive modeling or in dashboards development.

• Develop and validate advance 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.

• Provide technical guidance to external consultants and data scientists.

• Design, develop, and maintain complex Tableau Dashboards for scalability, extensibility, performance, and re-use.

• Work with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team.

• Leverage Generative AI Tools to increase the team’s efficiency and the knowledge sharing across the different structures.

• Interacting with several stakeholders for the strategic definition of priorities.

• 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

• Minimum of 9+ years of expertise in applying Machine Learning solutions to business problems – model development and production experience required.
• 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 planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation.
• 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 (spoken/written), Spanish is a plus.
• Prior experience in Credit or Fraud Risk Management is a plus.

Technical Expertise
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• 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.
• Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, K-Means Clustering, etc.
• 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 IDE’s (Jupyter Notebooks).
• Prior knowledge in Apache Airflow is a plus.

Leadership Competencies
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• 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.