Visa is looking to solve the problem of enhancing merchant data, discovering insights, and ensuring data quality to power cross-functional peers and unleash merchant data potential.
Requirements
- Skilled in SQL, Python and 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 Automation framework such as Airflow, Metaflow
- Experience in MLOps and production machine learning systems at large scale
- Experience in DevOps and CI/CD tooling and concepts such as docker and Jenkins
- Experience in cloud services (AWS preferable – SageMaker, EMR, Glue)
Responsibilities
- Help build machine learning solutions to enhance merchant data
- Discover insights and ensure data quality
- Power cross-functional peers to unleash merchant data potential
- Build next generation AI powered merchant ecosystem
- Develop machine learning models using techniques such as logistic regression, Naive Bayes, SVM, decision trees, natural language processing or neural networks
- Work with Big Data and analytics technologies like Hadoop, Spark, and Query Engines
- Implement Automation framework such as Airflow, Metaflow
Other
- 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD)
- Travel 5-10% of the time
- Work in an office setting with varying hours
- Ability to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment
- Bachelor’s Degree or Advanced Degree (e.g. Masters, MBA, JD, MD)
