Strategic Data Solutions Developer

Há 16 horas

São Paulo, São Paulo, Brasil beBeeMachineLearning Tempo inteiro
Machine Learning Solutions Developer

The Data Solutions team at Visa is responsible for providing analytics solutions leveraging the largest datasets globally. We are seeking a talented professional capable of developing state-of-the-art machine learning models, data solutions, and enhancing existing ones to address complex business problems.

Responsibilities include:

  • Develop and grow exceptional internal client relationships to define priorities and set the solutions development strategy.
  • Utilize VisaNet Data and Visa's analytical capabilities, technology, and industry expertise to develop, standardize, and enhance Machine Learning Solutions.
  • Lead quality assurance activities from design to implementation.
  • Manage large volumes of data: extract, analyze, and manipulate large datasets using standard tools such as Hadoop Ecosystem, PySpark, Presto, SQL, etc.
  • Design, develop, and maintain Data Assets 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.
  • Data Cleansing/Wrangling – This involves 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.
  • Leverage Generative AI Tools to increase the team's efficiency and knowledge sharing across different structures.
  • Continuously develop and present innovative ideas to improve current business practices within Visa.
Requirements

We are looking for professionals with:

  • 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g., Master's, MBA, JD, MD) or 0 years of work experience with a PhD.
  • Minimum 7+ 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 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.

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