Data Scientist – Machine Learning and MLOps

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.

As our team continues to expand rapidly, we are seeking to hire a Data Scientist. The ideal candidate will possess experience and skills in the following areas:

• Define, execute and manage large scale ML model solutions into production.
• Build MLOps pipelines to support development, experimentation, continuous integration, continuous delivery, verification/ validation, and monitoring of AI/ML models.
• Develop processes and tools to perform model re-training, model performance evaluation and score optimization for existing ML models and troubleshoot any issues.
• Be able to interpret performance evaluation results, provide alternative improvements and present the findings to other data scientist groups across regional teams.
• Build and maintain high performing ETL processes, including data quality and testing to ensure their accuracy and reliability.
• Create necessary validation and documentation to support the model approval process with the Model Risk Management group to make it production ready.
• Create data dictionaries, setup/monitor data validation alerts and execute periodic jobs, ensuring timely delivery of model outputs to Visa’s clients.
• Collaborate with Data engineers, Data scientists and various groups within the organization to identify areas of improvement, bottlenecks and re-use existing frameworks/processes.
• Strong understanding of development and implementation aspects of ML/AI, especially on billion-scale datasets
• Develop and implement a machine learning solution for our Global Solutions team. This includes managing the entire lifecycle of machine learning models, from their creation and testing to their deployment and monitoring on a large (global) scale.
• Optimize the MLOps process by applying industry best practice like sampling techniques, batch processing, utilizing distributed frameworks and implementing code optimization techniques
• Utilizing Visa's extensive data assets to create innovative, data-driven analytical solutions. These solutions should combine business knowledge, statistical rigor, and problem-solving skills to address significant business challenges.
• Furthermore, you will be responsible for extensive collaboration with regional stakeholders and counterparts, in order to build scalable practice globally.
• Develop automated pipelines of MLOps component like model Inferencing, model Validation for multiple models, quality check and automated retraining if the model fails and selecting best models through a control/target framework.
• Experience in Marketing Models, Customer Churn Model, Multiclass Classification Model, Models with Imbalances Dataset
• Experience of conceptualizing and designing end to end ML Solutions and pipelines and establish industry best practices, to be followed in the organization
• Strengths in Machine Learning, Model Monitoring/Validation, Basic Statistical Concepts, OOPs and Functional Programming
• Experience with Clustering, Classification and Regression ML Algorithms likes Random Forest, XGBoost, K-Means, Logistic Regression etc.
• Understanding of metrics and statistical concept to develop and automate model monitoring and quality check framework
• Strong programming skills in building data pipelines using PySpark, Hive, Airflow.
• Experience working with scheduling tools (Airflow, Oozie) or building data processing orchestration workflows.
• Hands-on experience working with large scale data ingestion, processing, and storage in the Hadoop ecosystem
• Experience in writing and optimizing SQL queries in Bigdata environment.
• Experience working in Linux/Unix environment and exposure to command line utilities.
• Experience in designing MLOps Architecture including data ingestion, feature engineering, model development pipelines, inferencing, validation, retraining with reusable and scalable code

This position is located in Visa's offices in Bengaluru, India. It offers a fantastic opportunity for those looking to make a significant impact in the field of Data Science and Machine Learning.

Essential Functions

• Use statistical concepts, predictive modeling and designing analytical framework to optimize customer experience, revenue generation, and other business outcomes.
• Work as a team in development, implementation, maintenance, and redevelopment of machine learning models, and implement ML Ops best practices. Ensure models are built with scalability, flexibility, and production deployment in mind.
• Create necessary validation and documentation to support the model approval process with the Model Risk Management group to make it production ready.
• Collaborate with Data engineers, Data scientists and various groups within the organization to identify areas of improvement, bottlenecks and build automation and re-usable frameworks/processes.
• Ensure adherence to risk process and generation of validation and monitoring reports highlighting any drift in the data or the model

Strategic and Functional Excellence

• Ability to translate data and technical concepts into requirements documents, business cases and user stories
• Results-oriented with strong problem-solving skills and demonstrated intellectual and analytical rigor
• Good business acumen with a track record in solving business problems through data-driven quantitative methodologies.
• Very detailed oriented, is expected to ensure highest level of quality/rigor in reports and data analysis
• Should have strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership
• Demonstrated ability to incorporate new techniques to solve business problems
• Good understanding of agile working practices and related program management skills
• Design and develop end to end model development, deployment and monitoring plan for the ML Solutions
• Provide mentorship to Data Scientist on implement industry best practice and executing the project effectively

Stakeholder Management

• Strong interpersonal skills to build credibility with team members and leaders across the function as well as the organization
• Team-oriented, collaborative, and flexible, with proven ability to build strong working relationships with internal and external partners
• Should have strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership
• Excellent communication and presentation skills with ability to interact with different cross-functional team members at varying levels
• Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

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.