Visa is looking for a Data Engineer to join their Merchant Data Platform’s Data Science & Modeling team to build the next generation of AI-powered merchant intelligence. This team is responsible for the core data and ML capabilities that power their merchant ecosystem, from data enrichment and quality to real-time insights and generative-AI experiences.
Requirements
- Strong experience coding in Python.
- Skilled in SQL basic libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebook.
- Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and Query Engines.
- Relevant experiences in modeling techniques such as logistic regression, Naive Bayes, SVM, decision trees, natural language processing or neural networks.
- Experience in cloud services (AWS preferable – Sage Maker, EMR, Glue).
- Understand ML infrastructure concepts such as feature store, batch inference and model pipeline orchestration.
- streaming feature pipelines and large-scale batch/real-time computation.
Responsibilities
- Build ML-ready datasets, features, and signals that directly feed merchant-facing models.
- Collaborate with DS/ML teams on LLM fine-tuning pipelines, embeddings, retrieval systems, and agent orchestration.
- Design systems that ensure data quality, lineage, monitoring, and trust for every downstream consumer.
- Partner with product and engineering to unlock merchant-level intelligence that impacts growth, risk, operations, and customer experience.
- Processing and modeling hundreds of millions of transactions each day, transforming raw behavioral data into powerful merchant-level features and signals.
- Developing GenAI-driven merchant data enrichment, including agents that reason over unstructured data (web, documents, support logs) to auto-classify merchants and identify missing attributes.
Other
- This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
- Work Hours: Varies upon the needs of the department.
- Travel Requirements: This position requires travel 5-10% of the time.
- A collaborative, mission-driven team that values experimentation, craftsmanship, and measurable impact.
- Minimum of 6 months of work experience or a Bachelor's Degree
